Courses2024

Free Download Quiet Leadership - Leadership In The Smallest Of Actions Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.47 GB | Duration: 1h 30m An exploration of humility, kindness, fairness, and grace, in our leadership What you'll learn We will learn how to view the Organisation as an Ecosystem, and consider how we travel through it We will explore how each of us, through the smallest of actions, both enhance and degrade this system We will look at our own reflection, to understand how to lead with humility, by learning about our shadows We will explore how Kindness and Fairness act as Social Currencies, and the ways we earn and spend them, along with the impacts of this We will consider how we change - how we leave things behind and help others to move forwards too Requirements There are no requirements or prerequisites for this work. Quiet Leadership is for everyone: it's an exploration of leadership in the very smallest of actions. This course will not teach you how to be a Quiet Leader, but rather will help you find your own answers Description This course forms a guided reflective journey into our own leadership, considering four main aspects of how we lead: humility, kindness, fairness, and grace.This is an exploration of leadership in the smallest of things: our mindset, our words and our actions, in every single day.It's not about a grand aspiration, about formal objectives, or big development programmes.It's not about the formal power you have been given, your ability to influence at scale, or the varied ways you exert control.It's not about 'one' way of leading, but rather about a multitude of ways, and specifically about how you find 'your' way.Quiet Leadership is about the ways we are with each other in every moment, and how those varied 'ways' of being come together to give us the thing we call culture today.It's a practice that recognises that all cultures have edges, all communities have boundaries, and our impact is felt more in the shadows than in the light that we face.Quiet Leadership is a reflective practice, not to see the version of ourselves that we already know, but, rather, to discover ourselves in how others see us.Leadership in our reflection; leadership in our shadow. Leadership in our impact, through every action every day.Presented by Julian Stodd, author of the Social Leadership Handbook, this is gentle work, providing a series of eight questions for us to consider, together. Overview Section 1: Introduction Lecture 1 Welcome - Video Lecture 2 Everyone is Welcome in this Space Lecture 3 The Organisation as Ecosystem Lecture 4 The Organisation as Ecosystem - Video Lecture 5 A journey of 10,000 steps? Lecture 6 Nobody Alone Lecture 7 The Four Seasons of Quiet Leadership Lecture 8 Our Journey into the Landscape of Quiet Leadership - Your Guide Section 2: Humility Lecture 9 Humility - The Seed Lecture 10 Humility - Video Lecture 11 The Shadows That We Cast Lecture 12 Reflection - Shadow - Impact Lecture 13 Intention and Action Lecture 14 Quiet Leadership Questions Lecture 15 Question 1: What Shadow Do You Cast? Lecture 16 The Things We Give - The Things We Take Away Lecture 17 Every Day Lecture 18 What our Research says about Humility Lecture 19 Reflection on Humility - Video Section 3: Kindness Lecture 20 Kindness Lecture 21 Kindness - Video Lecture 22 Battered by the Storms Lecture 23 Friction on the System Lecture 24 Intent or Impact? Lecture 25 Where are we kindest? Lecture 26 The Intention of Kindness - video Lecture 27 Research Perspectives on Kindness Lecture 28 Every Action Lecture 29 Reflection on Kindness - Video Section 4: Fairness Lecture 30 Fairness - Video Lecture 31 As we find Strength Lecture 32 How do we Experience Fairness? Lecture 33 How is Fairness Split? Lecture 34 Reaching Down Lecture 35 To Leave with Less Lecture 36 Research Perspectives on Fairness Lecture 37 Reflection on Fairness - Video Section 5: Grace Lecture 38 The Falling Leaves - Video Lecture 39 The Breeze Lecture 40 Weathering the Winter Storms Lecture 41 The Forest Grows From The Floor Lecture 42 An Endless Weight Lecture 43 Leaving with Less Lecture 44 What The Research Says About Grace Lecture 45 Reflection on Grace Section 6: Making Your Journey Lecture 46 Quiet Leadership Lecture 47 Walking Through The Forest Lecture 48 Further Reading Lecture 49 An Invitation to join a Quiet Leadership Live journey Lecture 50 A Final Reflection on Quiet Leadership - Video This course is for leaders who wish act in service of their community and team. It is a guided, reflective journey where we explore humility, kindness, fairness, and the gracefulness of our actions - our willingness to leave things behind. 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Free Download Quickly Create Icons and Illustrations In Adobe Illustrator Published 10/2024 Created by Michael Brandon MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 21m ) | Size: 450 MB Learn To Create Icons In Illustrator By Doing Real Exercises What you'll learn: Gain A Solid Understanding Of How To Create Icons Learn Great Techniques That Can Be Used In The Real-World Brush Up On Tools In Illustrator Develop Your Own Creative Style Learn Artboards, Shape Building, Line Segments, Alignment Coloring and Gradients Requirements: Adobe Illustrator CC Software Laptop or Desktop Computer (In case you want to follow along and practice) Some Knowledge of Adobe Illustrator Would Help Description: Looking to further your skills in Adobe Illustrator?Interested in designing icons?Need a review?Are you already an artist?Designing your own website?New?Looking for a new hobby or passion?Want to learn a new skill?If you answered yes to any of these questions, this course is for you.This course includes 7 GREAT EXAMPLES that will walk you through step by step on how to use Adobe Illustrator to design icons and illustrations. You'll learn great techniques and by the end of the course, you'll be comfortable with the tools used. The first 6 examples will cover mostly everything you need to know. Some are long and some are short. They don't get harder or easier as you progress through them. They are randomized by difficulty. I did it this way because I want to give you the option of skipping around for this specific course. The last project will shy away from Icon design and focus more on illustration. However, it can still be used as an icon. This course is for all levels (Mainly for Beginners and Intermediates). However, if you are experienced, you can benefit too (In case you're looking for a review.) I look forward to seeing you in the course. I appreciate you for showing interest in the course and reading the course description. Good luck and I'll see you on the other side. Who this course is for: Anyone Interested In Adobe Illustrator, Icon Design, Game Designers, Web Developers, Artists Homepage https://www.udemy.com/course/quickly-create-icons-and-illustrations-in-adobe-illustrator/ Rapidgator https://rg.to/file/71924a46b09b3a61d25b432ba30e457b/uwhbf.Quickly.Create.Icons.and.Illustrations.In.Adobe.Illustrator.rar.html Fikper Free Download https://fikper.com/kt1KuQ6r2u/uwhbf.Quickly.Create.Icons.and.Illustrations.In.Adobe.Illustrator.rar.html No Password - Links are Interchangeable

Free Download Quantum Cryptography and the Future of Cybersecurity Last updated 10/2024 With Jonathan Reichental MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 31m 56s | Size: 101 MB Quantum cryptography is poised to shake up the world of information security. This course explains what it is, how it works, and the challenges and opportunities that lie ahead. Course details The frequency and severity of hacking and other attacks on our information systems are increasing. Despite remarkable progress in cybersecurity innovation, too many vulnerabilities continue to exist, and the threats are increasingly sophisticated. Quantum cryptography may offer some optimism in the long term. By leveraging the fundamentals of quantum mechanics, this set of emerging technologies allows information to be protected in novel new ways. Consequently, it's poised to shake up the world of information security. In this course, Jonathan Reichental lays out what quantum cryptography is, as well as the journey ahead to operationally realize quantum-based encrypted communications. Homepage https://www.linkedin.com/learning/quantum-cryptography-and-the-future-of-cybersecurity Screenshot Rapidgator https://rg.to/file/69a604f1f412b39e29c618a6bb85f1ba/kjnhl.Quantum.Cryptography.and.the.Future.of.Cybersecurity.rar.html Fikper Free Download https://fikper.com/rGq1DoXmZh/kjnhl.Quantum.Cryptography.and.the.Future.of.Cybersecurity.rar.html No Password - Links are Interchangeable

Free Download Quantization for GenAI Models by Start-Tech Academy Published 10/2024 Created by Start-Tech Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 34m ) | Size: 807 MB Unlock the power of model optimization! Learn how to apply quantization and make your GenAI models efficient with Python What you'll learn Understand model optimization techniques: Pruning, Distillation, and Quantization Learn the basics of data types like FP32, FP16, BFloat16, and INT8 Master downcasting from FP32 to BF16 and FP32 to INT8 Learn the difference between symmetric and asymmetric quantization Implement quantization techniques in Python with real examples Apply quantization to make models more efficient and deployment-ready Gain practical skills to optimize models for edge devices and resource-constrained environments Requirements Basic Python knowledge is recommended, but no prior AI experience is required. Description If you are a developer, data scientist, or machine learning enthusiast who wants to optimize and deploy efficient AI models, this course is for you. Do you want to make your models faster and more resource-efficient while maintaining performance? Are you looking to learn how to apply quantization techniques for better model deployment? This course will teach you how to implement practical quantization techniques, making your models lean and deployable on edge devices.In this course, you will:Learn the core concepts of Quantization, Pruning, and Distillation.Understand different data types like FP32, FP16, BFloat16, and INT8.Explore how to convert FP32 to BF16 and INT8 for efficient model compression.Implement symmetric and asymmetric quantization in Python with real-world applications.Understand how to downcast model parameters from FP32 to INT8 for deployment.Gain hands-on experience with Python-based quantization, making your models suitable for mobile and IoT devices.Why learn quantization? Quantization allows you to reduce the size and computational load of models, making them suitable for resource-constrained devices like smartphones, IoT devices, and embedded systems. By mastering quantization, you can ensure your models are faster, more energy-efficient, and easier to deploy while maintaining accuracy.Throughout the course, you'll learn to implement quantization techniques and optimize your models for real-world applications. This course provides the perfect balance of theory and practical application for making machine learning models more efficient.By the end of the course, you'll have a deep understanding of quantization, and the ability to optimize and deploy efficient models on edge devices. Ready to optimize your AI models for efficiency and performance? Enroll now and start your journey! Who this course is for Beginners in machine learning looking to learn practical model optimization techniques like quantization AI professionals and students wanting to optimize models for deployment on resource-constrained devices Homepage https://www.udemy.com/course/quantization/ Screenshot Rapidgator https://rg.to/file/650f02e9b5b1ad8b23a1e82b4f7e0043/jdifw.Quantization.for.GenAI.Models.rar.html Fikper Free Download https://fikper.com/UD5gJmXWhS/jdifw.Quantization.for.GenAI.Models.rar.html No Password - Links are Interchangeable

Free Download Quantitative Analysis of Data Using SPSS V29 Published 10/2024 Created by Alain Tannous MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 19m ) | Size: 1.93 GB Quantitative Analysis, SPSS Software, Tests and Conclusions What you'll learn Explain the six SPSS windows and their specific uses. Calculate the mean, sum, standard deviation, variance, and more. Examine relationships using Scatter Plot and Scatter Plot Matrices. Test for Normality and Homoscedasticity. Explain numerical measures such as Central Location, Dispersion, Skewness, Kurtosis and Linearity. Identify and differentiate between the different forms of outcomes. Differentiate between the statistical types I and II errors. Construct a multiple regression model, identify its elements and list its assumptions. Learn to use the Ordinary Least Squares (OLS) regression method to estimate the coefficients. Define the Standard Error of Estimates (SEE), explain its role in regression model and understand its visual representation. Relate SEE to R-squared and the overall performance of the regression model. Define ANOVA, explain its assumptions and significance in regression analysis, set its hypotheses, conduct ANOVA analysis using SPSS and explain its outcomes. Formulate the null and alternative hypotheses. Conduct a statistical T-test to assess and interpret the significance of the coefficients. Define autocorrelation, identify its impact on regression models and test for autocorrelation using Durbin-Watson Test. Explain the importance of forecasting time series data and perform a forecast seasonal time series data using SPSS V29. Define MANOVA, explain its assumptions and significance in regression analysis, set its hypotheses, conduct MANOVA test using SPSS and explain its outcomes. Generate different tests related to MANOVA such as: Box's M Test, Hotelling's T Squared, Pillai's Trace Test and Wilk's Lambda Test. Formulate and test the hypotheses of all MANOVA tests using SPSS. Compose and test the hypotheses for Levene's Test of homogeneity of variances. Define Discriminant analysis and identify its variables, assumptions and hypotheses. Test for Multivariate Normality, Equality of Covariances and Vectors of Means. Perform a stepwise discriminant analysis and analyze its outcomes using the cross-validation method. Define logistic regression, identify its variables and assumptions, compose its hypotheses, perform a stepwise logistic regression test and analyze its outputs. Define the Prin[beeep]l Component Analysis (PCA), identify its key variables and assumptions, and conduct a PCA analysis following a detailed procedure on SPSS. Define Factor Analysis (FA), identify its assumptions, variables and hypotheses, and conduct all FA tests and analyze their outcomes. Define Cluster Analysis, identify its assumptions, variables and hypotheses, and conduct all FA tests and analyze their outcomes. Apply all tests using practical exercises on SPSS Requirements No prerequisites are required. You will learn all steps in this course. Description This course offers a detailed exploration of quantitative data analysis using SPSS V29, a powerful software tool widely used in research fields such as social sciences, business, healthcare, and education. Designed for both beginners and intermediate users, the course covers essential statistical techniques and guides learners through the process of managing, analyzing, and interpreting quantitative data. Over 4 hours and 20 minutes of recorded lectures, accompanied by PDF notes for each session, will introduce you to core concepts in data analysis, such as:Data entry, management, and cleaning techniques using SPSS V29Descriptive statistics, including measures of central tendency and variabilityInferential statistics such as t-tests, ANOVA, regression analysis, and chi-square testsMultivariate analysis techniques, including factor analysis, discriminant analysis, and cluster analysisReporting and interpreting statistical outputs effectivelyUsing visual tools like graphs and charts for data presentationThe course also includes SPSS data files for hands-on practice, ensuring that students gain practical experience working with real datasets.Additionally, a quiz at the end of each lesson allows students to assess their understanding and apply the skills learned. By the end of this course, parti[beeep]nts will be able to effectively use SPSS V29 to perform complex statistical analyses, create meaningful data visualizations, and report results professionally and clearly, equipping them with the tools needed for academic research or professional projects. Who this course is for Graduate and Postgraduate students who are engaged in writing their thesis or dissertation which is based on a quantitative analysis of data. Beginner researchers who require a tool to analyze their findings. 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Free Download Quality Management Toolkit Published 10/2024 Created by Dr. Kamran Moosa MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 27 Lectures ( 7h 5m ) | Size: 2.85 GB 25 Essential Quality and Lean Management Tools Every Professional Should Know What you'll learn Learn strategic tools for aligning organizational goals with quality initiatives. Prepare yourself to Implement Lean and quality management tools for continuous improvement. Explore customer needs while conducting effective benchmarking to design products or services. Identify important data-driven problem-solving techniques and quality improvement tools. Measure and monitor processes to ensure consistent performance. Build insight into most common Lean management techniques to eliminate waste and optimize efficiency. Explore global frameworks and standards to drive organizational excellence. Requirements Anyone interested or working in the field of Quality or Lean Management Description Expand Your Knowledge with Essential Quality and Lean Management ToolsAre you ready to equip yourself with the most essential tools in quality and lean management? Whether you're just beginning or seeking to sharpen your expertise, this Quality Management Toolkit course is designed for professionals who want to strengthen their foundation with 25 Essential Quality and Lean Management Tools Every Professional Should Know. This course offers a strategic understanding of these tools, giving you the insights needed to implement real improvements in your organization. It is ideal for anyone eager to enhance their quality management skills and make a lasting impact.The course delivers a broad overview of essential tools and techniques in quality management and Lean methodologies, categorized into seven key areas crucial to achieving operational excellence. From strategic planning to statistical process measurement, these tools will help professionals-whether you're a Quality Manager, Lean professional, auditor, or consultant-tackle challenges and lead initiatives that elevate both processes and customer satisfaction. This is your opportunity to gain actionable insights, broaden your expertise, and start making a difference. Enroll today and build your foundation for success!Key Categories Covered:Strategic Planning and Management:Learn strategic frameworks like Balanced Scorecard (BSC), Hoshin Kanri, and SWOT Analysis to effectively plan and manage organizational strategies.Continuous Improvement:Explore proven methodologies such as Kaizen, Quality Circles, and Gemba Walks that foster ongoing process improvements and better performance.Customer Focus and Benchmarking:Discover tools like Quality Function Deployment (QFD), Kano Model, and Benchmarking to prioritize customer satisfaction and maintain a competitive edge.Problem-Solving and Analysis:Master techniques such as Six Sigma, A3 Problem Solving, Theory of Constraints (ToC), and Poka Yoke to address inefficiencies and resolve operational issues.Statistical Process Monitoring & Measurement:Understand and implement tools like SPC Charts, GRR, Cost of Poor Quality (COPQ), and Overall Equipment Effectiveness (OEE) to monitor and enhance process performance.Lean Management:Dive into Lean practices like Value Stream Mapping (VSM), Kanban, Just-In-Time (JIT), and 5S to streamline operations and reduce waste.Business Excellence Models and ISO Management Standards:Learn how to apply international frameworks like Baldrige, EFQM, and ISO standards to promote excellence and ensure compliance. Who this course is for This course is designed for quality professionals, managers, consultants, auditors, and business leaders across industries. Whether you're starting fresh or seeking to refresh and expand your knowledge, this course will provide valuable insights and tools for implementing quality initiatives in any organization. Homepage https://www.udemy.com/course/quality-management-toolbox/ Screenshot Rapidgator https://rg.to/file/7c68199f34e1a58a01ce4cb6beb446eb/doknw.Quality.Management.Toolkit.part2.rar.html https://rg.to/file/7fd42af1fe04a5f7986408fe4f509264/doknw.Quality.Management.Toolkit.part1.rar.html https://rg.to/file/97fd6bf9dc105c8177a839fa50e31ba0/doknw.Quality.Management.Toolkit.part3.rar.html Fikper Free Download https://fikper.com/rR09v0p6s7/doknw.Quality.Management.Toolkit.part1.rar.html https://fikper.com/vGbpckEm7V/doknw.Quality.Management.Toolkit.part2.rar.html https://fikper.com/xASPIzFrCI/doknw.Quality.Management.Toolkit.part3.rar.html No Password - Links are Interchangeable

Free Download Qradar In A Nutshell A Course For Everyone Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 123.06 MB | Duration: 0h 47m A Course To Get STARTED What you'll learn Learning QRadar basics. Learning informatics stuff. Enhancing your QRadar education. Getting tips to study better. Requirements Computer and speakers. Description Are you learning QRadar and you want to give the first steps? You are into learning about QRadar but feel like you are still a beginner? Then, THIS IS THE COURSE FOR YOU! If your idea is to improve in the world of QRadar then you can try improving as much as possible with this course. The more you learn, the better you get. It is going to be a matter of enhancing your skills because now you do have the internet, no excuses, you can learn from your very smartphone. Also, the fact is that you are going to receive some education in the world of infomratics with QRadar related ideas and topics. What can you expect? You will see lots of information and important ideas that could be necessary to remember when you are learning about QRadar. Consider you are going to be getting more and more information that is going to be part of the NoSQL QRadar set since at the end of the day, learning is filled of lots of ideas that you should not miss in general.Having said that, you are now ready to get started in the QRadar road. It is good that you know that you are going to be needing to let your skills go as further as you can because that is going to be part of the required things to do.Other than that, you are alreeady done, if you want to get an introduction, you are some clicks away from doing that. See you in the other side of the learning process! Overview Section 1: Intro Lecture 1 Intro Lecture 2 Ready Lecture 3 Also Lecture 4 Cenrtered Lecture 5 Working Lecture 6 Enjoy Lecture 7 Good Lecture 8 Train Lecture 9 Remember Lecture 10 More Lecture 11 Advance Lecture 12 Real Lecture 13 Needed Lecture 14 Power Lecture 15 Useful Lecture 16 Imporve Lecture 17 Learning Lecture 18 End Anybody who wants to learn QRadar. Screenshot Homepage https://www.udemy.com/course/qradar-in-a-nutshell-a-course-for-everyone/ Rapidgator https://rg.to/file/487a941fc10af1da3ed949927730ea79/kiupa.Qradar.In.A.Nutshell.A.Course.For.Everyone.rar.html Fikper Free Download https://fikper.com/ZIcep3Pxrs/kiupa.Qradar.In.A.Nutshell.A.Course.For.Everyone.rar.html No Password - Links are Interchangeable

Free Download Qigong Energy Cultivation y Kung Fu Kendra Published 10/2024 Created by Kung Fu Kendra MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 8 Lectures ( 2h 7m ) | Size: 2.5 GB Learn and Practice Qiqong. What you'll learn Qigong History and Foundations Breath and Energy Awareness Foundational Stances and Movements The Eight Pieces of Brocade Completing the Eight Pieces of Brocade Shaolin Self-Massage Techniques Advanced Qigong Practices Creating Your Daily Qigong Routine Requirements No Previous Experience Required Description Do you wish you could stop struggling with feeling stressed, drained and disconnected from your body's natural flow of energy? Wishing you had more vitality, motivation and clear mind to enjoy your life to the fullest?I'm Kendra Mahon known as Kung Fu Kendra and I'm a black black belt, kung fu martial artist and bestselling author with over twenty years experience in meditation, martial arts and Qigong coaching and I'm here to introduce you to a life-changing practice that has transformed the health and vitality of countless individuals for over a thousand years. I've taken what I've learned as a martial arts master and turned it into a step by step solution, a blueprint that you can follow to have success. And with my twenty plus years of experience in martial arts training and with my knowledge of ancient shaolin techniques and with my experience working with celebrities and top tech executives as well as everyday people you are in good hands. Here's what's in the program:Module 1 In the first module I will teach you:The history and philosophy of Shaolin QigongHow Qigong boosts vitality, health, and spiritual energyThe foundational principles of energy cultivationPreparing your mind and body for Qigong practice.Module 2 Breath and Energy Awareness. In this module, we'll focus on:The importance of proper breathing in QigongTechniques for abdominal breathing and reverse breathingCultivating awareness of your body's energy (Qi)Simple standing meditation to feel your Qi.Module 3 Foundational Stances and Movements. The Horse Stance and its variationsBasic Qigong arm movements and their benefitsCoordinating breath with movementThe "Ball of Energy" exercise for Qi circulation.Module 4 The Eight Pieces of Brocade (Baduanjin )In this module, we'll learn:The history and benefits of the Eight Pieces of BrocadeDetailed instruction for the first four movementsHow these exercises boost organ health and overall vitalityIntegrating breath and intention into each movement.Module 5 Completing the Eight Pieces of Brocade. Building on the previous module, we'll cover:The remaining four movements of the BaduanjinHow each movement targets specific health benefitsTips for deepening your practice and feeling the Qi flowA full run-through of all eight movements.Module 6 Shaolin Self-Massage Techniques In this module, we'll explore:Traditional Shaolin self-massage methods for energy cultivationTechniques for stimulating acupressure pointsFacial and scalp massage for mental clarity and stress reliefFull-body energy tapping to invigorate your Qi.Module 7 Advanced Qigong Practices.The Small Heavenly Circuit meditation for advanced energy circulationStanding post exercises (Zhan Zhuang) for deep energy cultivationTechniques for directing Qi to specific areas of the bodyIntegrating visualization with physical practice.Module 8 Creating Your Daily Qigong Routine In our final module, we'll cover:Designing a personalized daily Qigong practiceTips for maintaining consistency and overcoming obstaclesHow to progress and deepen your practice over timeIntegrating Qigong principles into your daily life for ongoing vitality and spiritual growth.This program is amazing because it takes you on a journey from beginner to advanced Qigong practitioner, teaching youThe foundational principles of energy cultivationPowerful breathing techniques to instantly calm your mind and energize your bodySimple yet effective movements to stimulate your body's natural healing abilitiesAdvanced practices for deep energy circulation and spiritual growth. Who this course is for This Course is for Everyone Homepage https://www.udemy.com/course/qigong-energy-cultivation/ Screenshot Rapidgator https://rg.to/file/77fc4670170845c13c0adb0e7341a610/lucsg.Qigong.Energy.Cultivation.part2.rar.html https://rg.to/file/c816a88d87e18bf4ee84661a3e9a6721/lucsg.Qigong.Energy.Cultivation.part1.rar.html https://rg.to/file/f8492042d3f55751eb31015333c0753c/lucsg.Qigong.Energy.Cultivation.part3.rar.html Fikper Free Download https://fikper.com/2jCTG6vQ99/lucsg.Qigong.Energy.Cultivation.part1.rar.html https://fikper.com/NlxfbpBQBm/lucsg.Qigong.Energy.Cultivation.part3.rar.html https://fikper.com/jviFqD185v/lucsg.Qigong.Energy.Cultivation.part2.rar.html No Password - Links are Interchangeable

Free Download QRadar - Learn Cybersecurity Fast Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 120.90 MB | Duration: 0h 45m QRadar For DUMMIES What you'll learn Learning QRadar basics. Learning cybersecurity stuff. Enhancing your informatics education. Getting tips to study better. Requirements Computer and speakers. Description Learning QRadar but would like to get and introduction first? You are learning about cybersecurity and would like to understand what QRadar is about? Then, THIS IS THE COURSE FOR YOU! Learning is a never ending process and cybersecurity is a big topic for sure. Thus, it will be necessary that you get your starting point as soon as you can because time is running and other people are already doing it while you read this very message. But no worries, we are here to cover you. Now you will be able to learn about QRadar and about the many things that it implies. Cybersecurity is likely to be a very required topic by many enterprises that work with technology and if you are the guy who will eventually have this knowledge, you can be sure that you will be seen as a good candidate in more than one job because not everyone out there understands cybersecurity and QRadar. The more you learn, the better for you, it is going to be nice to give the step today so that you get your learning process started and that is going to be something useful to do. Worth saying that you can learn about QRadar in terms of terminology which we will tell you about in this course. You can expect lots of information and tips to learn at the end of the course so that you really are pretty prepared for what comes next in your career. See you in the other side! Overview Section 1: Intro Lecture 1 Intro Lecture 2 Indeed Lecture 3 Useful Lecture 4 Learning Lecture 5 Enhance Lecture 6 Stuff Lecture 7 Great Lecture 8 Remember Lecture 9 Interesting Lecture 10 Ideas Lecture 11 Technically Lecture 12 Tips Lecture 13 More Lecture 14 Unique Lecture 15 Powerful Lecture 16 Almost Lecture 17 Also Lecture 18 End Anybody who wants to learn QRadar. Screenshot Homepage https://www.udemy.com/course/qradar-learn-cybersecurity-fast/ Rapidgator https://rg.to/file/57181e41dc42c6aa486b98b3d9bbb402/lygif.QRadar.Learn.Cybersecurity.Fast.rar.html Fikper Free Download https://fikper.com/FJF6nz5wTB/lygif.QRadar.Learn.Cybersecurity.Fast.rar.html No Password - Links are Interchangeable

Free Download QGIS Quickstart by Jack Hansen Published 10/2024 Created by Jack Hansen MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 65 Lectures ( 4h 37m ) | Size: 3.35 GB A beginner's guide to quickly get you started with QGIS! What you'll learn Basic map creation Data management Common geoprocessing tasks Layer styling and cartography Advanced mapping techniques Plugins and extensions Spatial analysis Web mapping Raster operations Requirements No QGIS experience necessary! Description Don't waste your time watching courses that take 12 hours to teach you what this course can cover in just a fraction of that time! My goal is to equip you with essential skills and tools that will empower you to navigate QGIS independently. Once you grasp these key concepts, you'll find you won't need my assistance for much else. QGIS is designed to be user-friendly, especially once you familiarize yourself with its functionalities. In this course, we begin with the basics, focusing on essential map navigation techniques and how to import various file types seamlessly. As you build your foundational knowledge, we'll gradually transition into more advanced topics, including the use of plugins and extensions that enhance your capabilities. You'll also dive into advanced spatial analysis techniques and raster analysis, both of which are crucial for making informed decisions based on geographical data. By the end of this course, you'll be equipped with the tools and confidence to be a proficient QGIS user, ready to tackle your projects with ease. This course is designed to maximize your learning in a minimal amount of time, so let's get started on this exciting journey into the world of QGIS!Dont wait. Get started on your QGIS Quickstart journey NOW! Who this course is for All geospatial professionals and anyone else thats interested. Homepage https://www.udemy.com/course/qgis-quickstart/ Screenshot Rapidgator https://rg.to/file/226e1b32baea527a647defa85ed0a790/nwida.QGIS.Quickstart.part1.rar.html https://rg.to/file/5121902cff3683bd401f2b21f768f281/nwida.QGIS.Quickstart.part2.rar.html https://rg.to/file/9cbb32dd2f0dad0d004a6a9d5ec1454d/nwida.QGIS.Quickstart.part4.rar.html https://rg.to/file/f8702cc46520e9e76c7862d80dd3c6ad/nwida.QGIS.Quickstart.part3.rar.html Fikper Free Download https://fikper.com/EWyecvyRxv/nwida.QGIS.Quickstart.part2.rar.html https://fikper.com/KJdmjrZhgT/nwida.QGIS.Quickstart.part1.rar.html https://fikper.com/SFMkmXK4Ej/nwida.QGIS.Quickstart.part4.rar.html https://fikper.com/hza6yX1bki/nwida.QGIS.Quickstart.part3.rar.html No Password - Links are Interchangeable

Free Download Python Programming Mastery From Beginner to Pro Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 8m | Size: 621 MB Python Pro: Master Programming and Problem-Solving Skills What you'll learn Understand and apply fundamental Python concepts, including variables, data types, operators, and control structures. Gain the ability to solve real-world problems by writing efficient, reusable Python code. Learn to leverage Python's standard libraries and external packages to streamline data manipulation, web development, and automation tasks. pply Python skills in hands-on projects, such as building applications, automating tasks, and analyzing data, to reinforce learning and demonstrate proficiency. Requirements No prior experience is needed Description Unlock the Power of Python - From Beginner to ProWelcome to Python Programming Mastery: From Beginner to Pro! This course is designed to take you on a comprehensive journey from Python basics to advanced programming techniques. Whether you're starting fresh or looking to sharpen your skills, this course equips you with the tools, techniques, and problem-solving abilities needed to excel in Python programming.What You'll Learn:Foundational Python Concepts: Master variables, data types, control structures, and functions.Advanced Techniques: Dive into object-oriented programming, modules, and libraries to elevate your skills.Real-World Applications: Tackle hands-on projects to solidify your understanding, including data analysis, web scraping, and automation.Problem-Solving Essentials: Develop critical problem-solving skills and learn to write clean, efficient code.By the end of this course, you'll not only understand Python's core principles but also have the confidence to apply them in diverse fields like data science, web development, and automation. Our engaging lessons, comprehensive exercises, and real-world challenges ensure you're prepared to confidently build applications, automate workflows, analyze data, develop complex algorithms, and even launch your own innovative projects. Join us to become a Python Pro, equipped with highly marketable, in-demand skills for today's tech-driven world! So what are you waiting for? Who this course is for Beginner Python Developers Homepage https://www.udemy.com/course/python-programming-mastery-from-beginner-to-pro/ Screenshot Rapidgator https://rg.to/file/1eda6d22e84de008e21add01ccdc3d4e/wjubb.Python.Programming.Mastery.From.Beginner.to.Pro.rar.html Fikper Free Download https://fikper.com/bWa1wrUCTP/wjubb.Python.Programming.Mastery.From.Beginner.to.Pro.rar.html No Password - Links are Interchangeable

Free Download Python Programming Language For Complete Beginners Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.01 GB | Duration: 9h 13m On completion of this course you would be able to tackle programs in python What you'll learn The students after learning this python course would be able to get a basic understanding of what python is and will be able to solve problems regarding python This course covers algorithms, syntax, comments, loops, while loop, for loop, if statements elif statements, data types, variables, lists, tuples, functions Then it will also cover library modules , operator in python, strings, slicing operations They will get 20 python projects and 2 mini projects with their solutions Requirements No programming knowledge required Description This 25-video course is designed to introduce absolute beginners to the fundamentals of Python programming. Whether you are new to coding or looking to sharpen your skills in one of the most versatile and popular programming languages, this course will help you build a strong foundation. Python's simple syntax and readability make it an ideal starting point for anyone stepping into the world of programming.Throughout the course, you will cover a wide range of topics, including basic data types, control structures, functions, and modules. You'll learn how to manipulate strings, lists while understanding the importance of logic and flow in programming. As the course progresses, you will also gain practical experience by building real-world applications.Each day's session includes hands-on coding exercises and mini-projects, ensuring that you can immediately apply the concepts you learn. By the end of the course, you will be able to write clean, efficient, and well-structured Python code, and have the confidence to continue exploring advanced topics or transition into other programming languages.No prior programming experience is required, only a willingness to learn and explore. Join us to kickstart your journey in Python and discover the endless possibilities of coding! Lets see you in the course Overview Section 1: Intro and Basics Lecture 1 Intro Lecture 2 problems, algorithms and features Section 2: starting of with python Lecture 3 variables and data-types Lecture 4 indentation, comments and input operations Lecture 5 operators in python Lecture 6 programs Section 3: if conditions and loops in python Lecture 7 if condition Lecture 8 elif correction Lecture 9 nested if Lecture 10 while loop Lecture 11 for loop(1) Lecture 12 for loop(2) Lecture 13 for loop(3) Lecture 14 break statement in python Section 4: Tuples and Lists Lecture 15 lists(1) Lecture 16 lists(2) Lecture 17 lists(3) Lecture 18 lists methods(4) Lecture 19 tuples(1) Lecture 20 operations of tuples(2) Section 5: funtions and modules Lecture 21 functions(1) Lecture 22 functions(2) Lecture 23 global and local variables Lecture 24 calculator program in python Lecture 25 Strings in python Lecture 26 modules in python 11th , 12th, 1st/2nd year BE, Btech, BSC, BCA student Or anyone who wants to explore python programming language Screenshot Homepage https://www.udemy.com/course/python-programming-language-for-complete-beginners/ Rapidgator https://rg.to/file/21a6570d77d03e25b952af2e2a8aadcf/bquei.Python.Programming.Language.For.Complete.Beginners.part1.rar.html https://rg.to/file/6f4dc601217352653f0dad143d68b7e3/bquei.Python.Programming.Language.For.Complete.Beginners.part4.rar.html https://rg.to/file/7523128cfe138ec935f49b2fc5139b82/bquei.Python.Programming.Language.For.Complete.Beginners.part2.rar.html https://rg.to/file/85c5af47a64a78d4023e2250190507d0/bquei.Python.Programming.Language.For.Complete.Beginners.part3.rar.html Fikper Free Download https://fikper.com/a4flG1msf0/bquei.Python.Programming.Language.For.Complete.Beginners.part4.rar.html https://fikper.com/e9eijVMMg8/bquei.Python.Programming.Language.For.Complete.Beginners.part3.rar.html https://fikper.com/laObkSvm3t/bquei.Python.Programming.Language.For.Complete.Beginners.part2.rar.html https://fikper.com/tBuV2B3xhw/bquei.Python.Programming.Language.For.Complete.Beginners.part1.rar.html No Password - Links are Interchangeable

Free Download Python Programming For Beginners From Basics To Advanced Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.09 GB | Duration: 19h 39m Master Python Programming: Learn Syntax, Functions, OOP, and File Handling for Real-World Applications What you'll learn Understand Python syntax, variables, and data types to write basic programs Implement control structures like loops and conditional statements Build and utilize functions, including lambda functions, in Python Apply object-oriented programming concepts like classes, inheritance, and polymorphism Requirements No prior programming experience required-perfect for beginners Access to a computer with internet connection for coding exercises Optional: Install Python and an IDE (e.g., PyCharm or Anaconda) or use Google Colab for online coding Curiosity and a willingness to learn! Description Imagine this: You've always been curious about the world of technology and coding, but you've been hesitant to start. Maybe the jargon seemed overwhelming, or you felt like coding was only for those with an engineering background. But what if I told you that you could become proficient in Python, one of the most powerful and versatile programming languages in the world, without any prior experience?Now picture yourself, a few weeks from now, confidently writing your first Python program, automating tasks, analyzing data, or even building simple applications. You're the hero in this story-taking control of your learning journey, conquering new challenges, and equipping yourself with one of the most in-demand skills in today's tech-driven world.This course is designed to make you the hero of your coding adventure. Whether you're looking to start a new career, solve problems with technology, or simply satisfy your curiosity, this Python course will give you the skills you need. And the best part? No prior programming experience is required. All you need is a computer, access to the internet, and the willingness to learn and explore.What Will You Learn?By the end of this course, you will be able to:Master the basics of Python programming: Learn Python syntax, how to declare variables, use data types, and write simple programs.Work with control structures: Understand how to implement if-else statements, for loops, while loops, and other conditional logic to make your programs more dynamic.Create and use functions: Understand how to define and call functions, use parameters, and explore advanced topics like lambda functions.Understand object-oriented programming (OOP): Learn how to work with classes and objects, inheritance, polymorphism, and method overriding, making your code more efficient and reusable.Handle files: Discover how to open, read, write, and close files in Python, an essential skill for many real-world applications.Solve real-world problems: Use Python to automate repetitive tasks, manipulate data, and develop practical projects that you can apply in your personal or professional life.Why Python?Python is a high-level, versatile programming language known for its simplicity and readability, making it the perfect choice for beginners. It's also a favorite among developers, data scientists, and engineers due to its vast libraries and strong community support. Python powers everything from web development to data analysis, machine learning, and automation. So, whether you're aiming for a career in tech, looking to automate processes at work, or just want to explore programming for fun, Python is a great starting point.Who Is This Course For?This course is tailored for absolute beginners. You don't need any previous coding experience. It's ideal for:Students who want to develop coding skills for their studies or future careers.Professionals looking to upskill or transition into tech-related roles.Hobbyists or self-learners curious about programming and eager to solve problems using Python.Anyone who wants to learn how to automate tasks, analyze data, or develop web-based applications.What Tools Will You Use?In this course, you'll get hands-on experience using Python through:Google Colab: An easy-to-use, browser-based platform for writing and running Python code without installing anything on your computer.PyCharm or Anaconda: For those who prefer to set up a local Python environment, we'll walk you through the installation process and show you how to run Python code on your own machine.Jupyter Notebooks: For data analysis and visualization, a powerful tool commonly used by data scientists.Learning ApproachOur learning approach is centered around hands-on practice. Every lesson is followed by practical examples, quizzes, and coding challenges to help you reinforce what you've learned. As you progress through the course, you'll work on real-world projects that solidify your understanding and give you a portfolio of skills to showcase.Whether you're taking your first step into the world of programming or building on previous knowledge, this course will guide you through the essentials of Python in an easy-to-follow, structured way. The journey may be challenging at times, but with persistence and dedication, you'll find yourself mastering Python and unlocking new opportunities.Start Your Python JourneyYou are the hero of your own learning story. Don't let doubts or fear hold you back. Start today, and soon, you'll be navigating Python with confidence, solving problems, and perhaps even discovering a passion for coding you never knew you had.Are you ready to begin? Let's get started! Overview Section 1: Introduction to Python Lecture 1 Get to Know Your Instructor Lecture 2 What is Python? - Python Programming Language Explained Lecture 3 Use of Python Lecture 4 Python Code Execution Lecture 5 Features of Python Lecture 6 Queries Regarding Basics of Python Section 2: Basic Building Blocks of Python Lecture 7 Python Keywords and List of Keywords Lecture 8 Indentation and Comments, Identifiers, Variables in Python Lecture 9 Query Regarding Study Materials of Python Section 3: Hands on Python Activity Lecture 10 Using Print Statement in Python Lecture 11 Issues Regarding PyCharm Installation Lecture 12 Query Regarding Print Statement in Python Lecture 13 How to Run Google Colaboratory Lecture 14 More Queries Regarding Print Statement in Python Lecture 15 Queries Regarding Anaconda Installation Section 4: Using Variable in Python Lecture 16 How to Store Value in Variable in Python Lecture 17 Giving the Name of A Variable as A String Lecture 18 What Double Quotes Around a Variable Do Lecture 19 Queries Regarding Using Double Quotes Around a Variable Lecture 20 Problem with Kernel/Connecting with Server Lecture 21 Fixing the NameError in Jupyter Notebook Lecture 22 Reviewing Some Activities Regarding Variable in Python Section 5: Quick Overview on Basics of Python Lecture 23 Uses of Python Lecture 24 Features of Python Lecture 25 Keywords, List of Keywords and Comments Lecture 26 Python Identifiers and Variables Lecture 27 Data Types in Python Section 6: Working with Lists in Python Lecture 28 How Python List Works Lecture 29 How to Order Lists in Python Lecture 30 List Slicing in Python Lecture 31 Queries Regarding Python Lists Lecture 32 Solving an Undefined Variable NameError in Python Lecture 33 Fixing NameError Name is Not Defined Section 7: Essential Python List Functions and Troubleshooting Lecture 34 Using Python max() Function Lecture 35 Fixing Unterminated String Literal in Python Lecture 36 Issues Regarding Python Installation Lecture 37 Issues Regarding Function of List Section 8: Understanding and Troubleshooting Python Tuples Lecture 38 What is Tuple? Lecture 39 How do Tuples Work in Python Lecture 40 Queries Regarding Python Tuple Lecture 41 Issues Regarding Python Tuple Section 9: Introduction to Python Data Types and Structures Lecture 42 What You Have Learned So Far Lecture 43 Different Python Datatypes Lecture 44 Quick Overview on Python Tuple Lecture 45 Introduction to Strings in Python Section 10: Sets in Python : Everything You Need to Know About It Lecture 46 What Are Python Sets Lecture 47 Printing Set Variable Lecture 48 How to Print with Example Syntax Command Lecture 49 Understanding Google Colab Text color Lecture 50 Queries Regarding Sets in Python Lecture 51 Evaluating Assessments Section 11: Mastering Python Dictionaries and Booleans Lecture 52 Dictionary In Python Explained Lecture 53 Creating Dictionary in Python Lecture 54 Python Boolean Explained Section 12: Operators in Python - Everything You Need to Know Lecture 55 Introduction to Python Operators Lecture 56 Using Addition, Subtraction, Multiplication, Division and Modulus Operators Lecture 57 Using Comparison Operators Lecture 58 Logical, Membership and Identity Operators Lecture 59 Using Identity Operators in Python Lecture 60 Queries Regarding Python Operators Section 13: Getting Started with Conditional Statements in Python Lecture 61 Introduction to Conditional Statements in Python Lecture 62 Get to Know Your Instructor Lecture 63 Decision Making Statements Explained Lecture 64 Python If Statement Explained Lecture 65 If...Elif....Else Statement in Python Lecture 66 Assignments on Conditional Statements in Python Section 14: Hands on Activity on Conditional Statements Lecture 67 Using If Statement in Python Lecture 68 Using If Else Statement in Python Lecture 69 Using If...Elif...Else Statement in Python Lecture 70 Checking If True or False Using Conditional Statement in Python Lecture 71 Queries Regarding Checking If True or False Using Conditional Statement Lecture 72 Comparing Two Numbers Lecture 73 Queries Regarding Conditional Statements Section 15: Handling User Input and Integrating Online Tools in Python Lecture 74 Taking Integer Input in Python Lecture 75 Using Authorization Flow in Python Lecture 76 Using Another Online Tool to Run Python Code Lecture 77 Queries Regarding Python input() Function Section 16: Mastering Python Loops: For Loops and Beyond Lecture 78 Types of Loops in Python Lecture 79 Python For Loops Explained Lecture 80 Calculating Table with Loop Lecture 81 Flow Chart For Loop Lecture 82 Queries Regarding For Loop Section 17: Understanding and Using Python Loops and Break Statements Lecture 83 Python While Loop Explained Lecture 84 Python Break Statement with Flowchart Lecture 85 Working of Break with For and While Loop Section 18: Hands on Activity on Python Loops Lecture 86 Printing Digits using For Loop Lecture 87 Sum of Digits of a Number in Python Lecture 88 Python Looping Through a Range Lecture 89 Queries Regarding Looping Through a Range Lecture 90 Using a Break Statement with For Loops Lecture 91 Using If-Else Statements and While Loops in Python Lecture 92 Queries Regarding Accessing the Resources Section 19: Introduction to Python Functions: Basics and Syntax Lecture 93 What You Have Learned So Far Lecture 94 Making a "sub" Function Lecture 95 What Is Function? Lecture 96 Queries Regarding Basics of Function Lecture 97 Creating a Function Syntax Section 20: Defining and Calling a Function Lecture 98 Defining Any Name in Python Lecture 99 Defining Multiplication Function and Calling Sum Function in Print Statement Lecture 100 Queries Regarding Defining Sum Function Lecture 101 Creating Function Without Return Statement and Defining Square Number Lecture 102 Evaluating Assessments Section 21: Working with Parameters in Python Functions: Definition, Issues, and Assessment Lecture 103 Using Parameters in Sum Function Lecture 104 Defining Sum Function Using Parameters Lecture 105 Issues Regarding Defining Sum Function Using Parameters Lecture 106 Defining Name as Function and Printing The Hello Statement Lecture 107 Queries Regarding Using Parameters in Function Lecture 108 Evaluating Assessments Section 22: Creating and Using Functions with Arguments in Python Lecture 109 What You Have Learned So Far Lecture 110 Creating a Function With Arguments Lecture 111 Example on Creating a Function With Arguments Section 23: Exploring Python Lambda Functions: Basics and Practical Applications Lecture 112 What is Lambda Function in Python Lecture 113 Adding 10 to Argument A and Returning The Result Lecture 114 Queries Regarding Lambda Function Lecture 115 Program to Filter Out Only The Even Items From The List Lecture 116 Program to Filter Out Only The Odd Items From The List Lecture 117 Program to Filter Out Numbers Which are Greater Than 60 Using Lambda Function Section 24: Using Python Map, Local & Global Variables: Concepts and Examples Lecture 118 Program to Double Each Item in a List Using Map Lecture 119 Program to Add 10 to All The Values Using Map Lecture 120 What is a Local and Global Variable in Python? Lecture 121 Using Global Variable and Local Variable With the Same Name in Python Lecture 122 What are The Applications of Global and Local Variables? Lecture 123 Queries Regarding Global and Local Variables Lecture 124 Query Regarding Filtering Even Numbers Using Lambda Function Section 25: Introduction to Object-Oriented Programming in Python: Classes and Objects Lecture 125 What You Have Learned So Far Lecture 126 What is Object Oriented Programming Lecture 127 Class in Python Explained Lecture 128 Syntax and Object in Python Lecture 129 Program to Demonstrate Class and Object Concept Section 26: Troubleshooting Functions and Attributes in Python: Common Issues and Solutions Lecture 130 Why a Function Could Not Be Executed in Python Lecture 131 Why is Dot Operator Used in Python Lecture 132 Can We Have More Than One Object For The Same Class in Python Lecture 133 Query Regarding Display Function in Python Lecture 134 Fixing AttributeError in Python Section 27: Understanding and Implementing Constructors in Python Lecture 135 What is A Constructor in Python Lecture 136 Creating The Constructor in Python Lecture 137 Counting The Number of Objects with Non Parameterized Constructor Lecture 138 Fixing Invalid Syntax in Python SyntaxError Lecture 139 Fixing Issues Regarding Counting The Number of Objects Lecture 140 Short Recap on Object Oriented Programming and Python Constructor Lecture 141 Query on Extracting The Object Values Using Map Section 28: Exploring Inheritance in Python: Types and Examples Lecture 142 Recap on What You Have Learned So Far Lecture 143 What is an inheritance in Python Lecture 144 Types of Inheritance in Python Lecture 145 Single Inheritance in Python Explained Lecture 146 Multilevel Inheritance in Python with Example Lecture 147 Multilevel Inheritance in Python Explained Section 29: Mastering Multiple Inheritance in Python: Concepts and Examples Lecture 148 Multiple Inheritance in Python Explained Lecture 149 Example of Multiple Inheritance in Python Lecture 150 Queries Regarding Multiple Inheritance Lecture 151 Fixing Errors Regarding Multiple Inheritance Lecture 152 How to Use an Input() Function Within a Class in Python Section 30: Understanding and Implementing Method Overriding in Python Lecture 153 Method Overriding in Python Explained Lecture 154 Real Life Example Method Overriding Lecture 155 Query on Method Overriding Lecture 156 Use of Python super() Function Section 31: Overview on What You Have Learned So Far Lecture 157 Problems Regarding Practice Codes Lecture 158 Basics Of Python Lecture 159 Class and Object in Python Lecture 160 Creating The Constructor in Python Lecture 161 Types of Inheritance in Python Lecture 162 Method Overriding Explained Lecture 163 Queries on Object Oriented Programming Lecture 164 Additional Queries on Object Oriented Programming Section 32: Understanding Polymorphism in Python: Concepts and Examples Lecture 165 What is Polymorphism in Python Lecture 166 Polymorphism in len() Function in Python Section 33: File Handling in Python: Functions, Queries, and Applications Lecture 167 Python File Open Function Lecture 168 How to Open and Close a File in Python Lecture 169 Queries on Python Open File Function Lecture 170 Why Visual Studio Code is Used Lecture 171 Queries Regarding Commands Used for File Handling in Python Lecture 172 Can Python be Used for Data Analysis? Lecture 173 What Is Python Used For? This course is designed for beginners with no prior coding experience who want to learn Python from scratch. It's also ideal for students, professionals, and hobbyists interested in developing their programming skills for data analysis, automation, web development, or any field that requires coding knowledge. Additionally, anyone looking to transition into tech or enhance their problem-solving and logical thinking abilities will find this course valuable. 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Free Download Python Numpy Programming with Coding Exercises Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 32m | Size: 312 MB Master Numerical Computing and Data Analysis with NumPy Through Hands-On Coding What you'll learn How to create and manipulate NumPy arrays for efficient numerical computing. Techniques for performing mathematical operations and statistical analysis with NumPy. Advanced array manipulations such as reshaping, indexing, and broadcasting. Application of NumPy in solving linear algebra problems and integrating with other data analysis tools. Requirements Basic knowledge of Python programming. Understanding of fundamental mathematical concepts. Description Welcome to Python NumPy Programming with Coding Exercises, a comprehensive course designed to teach you the essentials of numerical computing using the NumPy library. NumPy is a fundamental package for scientific computing in Python, providing support for arrays, matrices, and a wide range of mathematical functions. This course will guide you through the core functionalities of NumPy, enhancing your ability to perform efficient data manipulation and analysis.In today's data-driven world, proficiency in numerical computing is crucial for analyzing data, performing complex calculations, and building machine learning models. NumPy's powerful array operations and mathematical capabilities make it an indispensable tool for data scientists, analysts, and engineers. This course aims to equip you with practical skills and knowledge through hands-on coding exercises that reinforce learning and apply concepts to real-world problems.Throughout this course, you will cover:Introduction to NumPy and its array objects: Understand the basics of NumPy, including array creation, manipulation, and basic operations.Array operations and mathematical functions: Learn to perform arithmetic operations, statistical calculations, and algebraic manipulations with NumPy arrays.Advanced array manipulations: Explore topics such as indexing, slicing, reshaping, and broadcasting to handle complex data structures.Numerical methods and linear algebra: Apply NumPy for solving linear algebra problems, including matrix operations and decompositions.Data analysis and integration: Use NumPy for data cleaning, transformation, and integration with other libraries like pandas.Practical exercises: Apply your skills to solve real-world problems and work with datasets to reinforce learning and practice key concepts.By the end of this course, you will be proficient in using NumPy for numerical computing, enabling you to handle large datasets efficiently and perform advanced mathematical operations with ease.Instructor Introduction: Faisal Zamir is a seasoned Python developer and educator with over 7 years of experience in teaching and working with Python libraries. Faisal's expertise in numerical computing and his clear, practical teaching approach will guide you through the intricacies of NumPy, ensuring you gain valuable skills and insights.Certificate at the End of Course: Upon successful completion of the course, you will receive a certificate that validates your skills in Python NumPy programming, enhancing your professional profile. Who this course is for Data scientists and analysts seeking to enhance their skills in numerical computing. Python developers interested in mastering array operations and data manipulation. Professionals and students aiming to apply mathematical and statistical techniques in their projects. Homepage https://www.udemy.com/course/python-numpy-programming-with-coding-exercises/ Screenshot Rapidgator https://rg.to/file/6d10eb2c4afe507c5ab1e74c4339ec64/emglh.Python.Numpy.Programming.with.Coding.Exercises.rar.html Fikper Free Download https://fikper.com/Dn5C7znUHu/emglh.Python.Numpy.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Python Microservices from basics to Advanced Published 10/2024 Created by Tharun Bonampudi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 8 Lectures ( 54m ) | Size: 591 MB Master how to build Python Microservices with their best practices! What you'll learn Learn basics and advanced concepts of Python Microservices Learn best practices of Python Microservices Learn python development, deployment, scaling, and management Learn Python microservices architecture Requirements You need to be interested in learning Python Microservices Description Python microservices represent a modern software architectural approach that breaks down monolithic applications into smaller, self-contained, and loosely coupled services. Each microservice is designed to perform a specific function, and they collectively work together to form a larger, more complex application. This architecture contrasts with traditional monolithic systems, where all components are tightly integrated into a single codebase. Microservices typically communicate with each other through APIs, often using lightweight protocols like HTTP/REST or message brokers like RabbitMQ or Kafka for asynchronous communication. This decoupled nature allows services to be written in different languages, though Python is frequently chosen for its robust ecosystem and ease of use.In Python microservices, each service is responsible for its own lifecycle, including development, deployment, scaling, and management. This allows teams to work on different services independently, enabling faster development cycles and more flexible updates. One of Python's key advantages in microservices architecture is its simplicity and readability, making it easy for developers to quickly write, understand, and maintain code. Additionally, Python offers a wide range of frameworks and tools that support microservice development, such as Flask, FastAPI, and Django REST Framework.Python microservices offer a flexible, scalable, and efficient way to build complex applications by breaking them into smaller, manageable components. While this approach requires more attention to infrastructure and management, the advantages of faster deployment, fault tolerance, and scalability make it a popular choice for modern software development. Who this course is for This course is for those wanting to learn Python Microservices Homepage https://www.udemy.com/course/microservices-from-basics-to-advanced/ Screenshot Rapidgator https://rg.to/file/a4d5b03fb3a65209dd246c11ec801658/wbydl.Python.Microservices.from.basics.to.Advanced.rar.html Fikper Free Download https://fikper.com/CBMWTeCsKM/wbydl.Python.Microservices.from.basics.to.Advanced.rar.html No Password - Links are Interchangeable

Free Download Python Mastery Devops, Automation, And Real-World Use Cases Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.23 GB | Duration: 9h 0m From Coding Fundamentals to Cloud Automation, GitHub Integration, CI/CD Automation with Jenkins and Game Development What you'll learn Python coding practice About Data Types in Python Regular Expression (regex) in Python How to identify and apply keywords in code How to declare and assign values to variables. The purpose and function of the return statement in functions. Python Functions: Definition and Usage Utilizing Modules in Function Design Organizing Your Code Using Python Packages The use of the sys module to access command line arguments The different types of operators in Python, including arithmetic, comparison, logical, and assignment operators. DevOps Use Cases with if..else..elif For/While Loops in Python: Syntax and Usage Real-time Use Case: Lists and Exception Handling in Python Python Script for Handling Exceptions Using Try Statements Integrating Python with GitHub Through the GitHub API Cloning a GitHub Repository with Python Performing operations on various AWS services like S3, EC2 using Boto3 Python Module Launching an EC2 Instance using Boto3 Python Module CI/CD Automation with Jenkins and Python Integrate GitHub Webhooks With Jenkins Develop Games in Python with PyCharm and ChatGPT Requirements Basic Computer Skills: Familiarity with using a computer and navigating the internet. No Prior Programming Experience Required: This course is designed for beginners, so no previous programming knowledge is necessary. Basic Knowledge of DevOps is required Description Python for DevOps means using Python to make DevOps tasks easier and more efficient. DevOps is all about automating tasks like building, testing, and deploying software quickly, as well as managing servers and infrastructure. Python is great for this because it's simple to learn, and it has many tools and libraries that help automate these tasks. For example, you can use Python to automatically create servers, manage cloud services, and set up continuous integration and delivery (CI/CD) pipelines. Python helps DevOps teams work faster and more effectively by reducing manual work and making processes smoother.Course Outline:Section1: Introduction-> Introduction-> An overview of Python-> About Shell Scripting-> Python vs. Shell Scripting-> When to Use Python vs. Shell ScriptingSection2: How to Begin Practicing Python Coding-> Begin Python Coding Practice-> Visual Studio Code - Python Coding Practice-> PyCharm - IDEs-> Codespaces - Online Coding PlatformSection3: Python Data Types-> About Data Types in Python-> Lab - String Data Type-> Lab - Integer Data Type-> Lab - Float Data Type-> Lab - len(), Length of a string-> Lab - String upper(), lower()-> Lab - String replace()-> Lab - String split()-> Lab - Print specific object in split()-> About List in Python-> Lab - List Data Type-> Lab - Add and Modify in a List Data Type (Mutable)-> About Tuples in Python-> Lab - Tuples in Python-> About Sets in Python-> Lab - Sets in Python-> Dictionary in Python-> Lab - Dictionary in Python-> Use Cases in DevOps-> Boolean Data Types-> Lab - Boolean in Python-> Coding Exercise 1:Create a Python script to add two integers-> Coding Exercise 2:Create a python script to perform operation of floating-point-> Coding Exercise 3:Write a python script to determine the length of a string-> Coding Exercise 4:Create a python script to convert a string to uppercase and lowercase-> Coding Exercise 5:Create a Simple python Script to replace a substring within a string-> Coding Exercise 6:Create a Simple python script to Split the text of a string-> Coding Exercise 7:Create a python script to define a Variable and assign it a list of five integersSection4: Regular Expression (regex) in Python-> Overview of Regular Expressions in Python-> Lab - Using re. match() to Match Patterns at the Start of a String-> Lab - Using re. search() to Find Matches Anywhere in a String-> Lab - Using re. findall() to Search for All Matches in a String-> Regex Use Cases from a DevOps Perspective-> Coding Exercise 8:Regular Expression in python-> Section5: Mastering Keywords in Python-> Overview of Keywords in Python-> Common Python keywords-> Mastering Control Flow Keywords - if, else, for, and break-> Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc.Section6: Working with Variables in Python-> Overview of Variables with Example-> Lab: Working with Float Variables in Python-> Lab: Defining Lists as Variables in Python-> Lab: Working with Dictionary Variables in Python-> Python Variables: Local vs Global Scope-> Lab: Working with Local Variables in Python-> Lab: Working with Global Variables in PythonSection7: Return Statement in Python-> Return Statement: An Overview with Syntax-> Lab: Creating Functions That Return Values-> Lab: Functions That Return Multiple Values-> Lab: Function for Identifying Even and Odd ValuesSection8: Python Functions: Definition and Usage-> Introduction to Functions in Python-> Advantages of functions in Python-> Lab: Functions with Parameters-> Lab: Functions with Return Value-> Lab: Designing Functions for Basic Arithmetic Operations-> Comparing Scripts: Using Functions vs. Not Using FunctionsSection9: Utilizing Modules in Function Design-> Introduction to Python Modules-> An Overview of Built-in Modules-> An Overview of User-defined Modules-> Lab: Essential Built-in Modules in Python-> Lab: OS and Math Modules-> Lab: Building Your Own ModulesSection 10: Python Packages: Organizing Your Code-> Introduction to Python Packages-> Key Concepts of Packages-> Advantages of Using Packages-> Lab: Creating Package Structures and Modules-> Importing Modules for Easier Access using __init__. py-> Creating a Main Python File to Utilize Your Package-> Importing Functions from a PackageSection 11: Command Line Arguments in Python-> Command Line Arguments with Practical Examples-> Lab: Script to Add Two Numbers (No Command Line Arguments)-> Lab: Working with sys. argv for Command Line Arguments-> Lab: Passing Multiple Arguments to Python Scripts-> Lab: Pass Arguments to Add Two Numbers-> Lab: Conditional Arithmetic via Script Arguments-> Lab: Conditional Arithmetic Using Script ArgumentsSection 12: Operators in Python: Concepts and Examples-> The Basics of Arithmetic Operators in Python-> Lab: Exploring Comparison (Relational) Operators-> Lab: Comparison Operators (=, >, >=, ==)-> Logical Operators: and, or, not-> Lab: Using 'and' , 'or' for Logical Operations-> Lab: Using 'not' for Logical Operations-> Assignment Operators in Python-> Lab: Understanding Different Assignment Operators-> Membership Operators: 'in' and 'not in'-> Lab: Using 'not in' Membership Operators-> Operators in DevOps: Practical Use Cases-> Use Cases for Operators in the DevOps WorkflowSection 13: Conditional Statements in Python-> Understanding 'if' statement in Python-> Understanding 'else'..'elif' statement in Python-> Lab: Implementing if..else Statements-> Lab: DevOps Use Cases with if..else..elifSection 14: Understanding Loops in Python-> For Loops in Python: Syntax and Usage-> While Loops in Python: Syntax and Usage-> Lab: Implementing For Loops-> Lab: Printing Ranges and Strings with For Loops-> Lab: Implementing Infinite While Loops-> Lab: Exploring Break Statements in PythonSection 15: Real-time Use Case: Lists and Exception Handling in Python-> Introduction to the Real-Time Project-> Lab: User Input for List Creation-> Lab: Understanding split function text.split()-> Lab: Identify modules and their functions-> Lab: Utilize a for loop to list files-> Exception Handling with Try Statement-> Lab: Python Script for Handling Exceptions Using Try Statements-> Lab: Handling Error - FileNotFoundError-> Lab: Handling Known Error - PermissionErrorSection 16: Integrating Python with GitHub-> Integrating Python with GitHub Through the GitHub API-> Lab: Install PyGithub and Generate a GitHub Access Token-> Lab: Retrieve User Login and Public Repos with Python-> Lab: Retrieve GitHub Account Repository List-> Lab: Create a New Repository with PythonSection 17: Cloning a GitHub Repository with Python-> Clone a Repository Using the Subprocess Module-> Lab: Clone a Repository with the Subprocess Module-> Lab: Using GitPython Library-> Lab: Handle Git Errors with Exception HandlingSection 18: Boto3 Python Module-> Introduction to the Boto3 Python Module-> Lab: Install Boto3 and Create an AWS User Account-> Lab: Configure GitHub Access from Codespaces via AWS CLI-> Lab: List All Buckets with Boto3-1-> Lab: List All Buckets with Boto3-2-> Lab: List All Buckets with Boto3-3-> Lab: Upload a File to a Bucket Using Boto3-> Lab: Download a File to a Bucket Using Boto3Section 19: Launching an EC2 Instance using Boto3 Python Module-> Project Overview-> Setting Up a User Account in AWS with IAM-> Set Up AWS CLI in Codespaces-> Begin Python Script: Import Boto3-> Include EC2 Attributes in Python Script-> Add Tag Specifications in Python Script-> Debug the Python Script Before Execution-> Access the EC2 Instance Launched via Python Script-> Update the Python Script to Add 20GB EBS Volume-> Run Python Script to Confirm EBS Volume-> Update Python Script to Include UserData-> Update Python Script to Include Apache Package-> Run the Revised Python Script and Validate-> Access the Apache ServerSection 20: CI/CD Automation with Jenkins and Python-> Project Overview-> Set Up a GitHub Repository for Your Project-> Write the Source Code in Python and Push to GitHub Repository-> Provision a Jenkins Server Instance in AWS-> Connect to the Jenkins Server and Install Java-> Install the Jenkins Package on the Server-> Set Up Jenkins Configuration-> Install Necessary Plugins on the Jenkins Server-> Add GitHub Credentials to the Jenkins Server-> First Stage of the Pipeline: Checkout the Project-> Build the Job-> Add a Stage for Installing Python Dependencies-> Add a Stage to Execute the Python Script-> Setting Up a User Account in AWS with IAM-> Create Access Keys for Jenkins Credentials-> Set Up Access Keys in Jenkins Pipeline-> Export AWS Credentials in Jenkins Pipeline-> Build the Job and Verify EC2 Instance Creation in AWS-> Access the Web Server Using URLSection 21: Integrate GitHub Webhooks With Jenkins-> Setup GitHub Webhooks in Jenkins-> GitHub hook trigger for GITScm polling-> Add Jenkins Webhook to GitHub Repository-> Test the Webhook by Editing the Python ScriptSection 22: Develop Games in Python with PyCharm and ChatGPT Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 An overview of Python Lecture 3 About Shell Scripting Lecture 4 Python vs. Shell Scripting Lecture 5 When to Use Python vs. Shell Scripting Section 2: How to Begin Practicing Python Coding Lecture 6 Begin Python Coding Practice Lecture 7 Visual Studio Code - Python Coding Practice Lecture 8 PyCharm - IDEs Lecture 9 Codespaces - Online Coding Platform Section 3: Python Data Types Lecture 10 About Data Types in Python Lecture 11 Lab - String Data Type Lecture 12 Lab - Integer Data Type Lecture 13 Lab - Float Data Type Lecture 14 Lab - len(), Length of a string Lecture 15 Lab - String upper(), lower() Lecture 16 Lab - String replace() Lecture 17 Lab - String split() Lecture 18 Lab - Print specific object in split() Lecture 19 About List in Python Lecture 20 Lab - List Data Type Lecture 21 Lab - Add and Modify in a List Data Type (Mutable) Lecture 22 About Tuples in Python Lecture 23 Lab - Tuples in Python Lecture 24 About Sets in Python Lecture 25 Lab - Sets in Python Lecture 26 Dictionary in Python Lecture 27 Lab - Dictionary in Python Lecture 28 Use Cases in DevOps Lecture 29 Boolean Data Types Lecture 30 Lab - Boolean in Python Section 4: Regular Expression (regex) in Python Lecture 31 Overview of Regular Expressions in Python Lecture 32 Lab - Using re.match() to Match Patterns at the Start of a String Lecture 33 Lab - Using re.search() to Find Matches Anywhere in a String Lecture 34 Lab - Using re.findall() to Search for All Matches in a String Lecture 35 Regex Use Cases from a DevOps Perspective Section 5: Mastering Keywords in Python Lecture 36 Overview of Keywords in Python Lecture 37 Common Python keywords Lecture 38 Mastering Control Flow Keywords - if, else, for, and break Lecture 39 Lab: Mastering Control Flow Keywords - continue, def, return, class, import etc. Section 6: Working with Variables in Python Lecture 40 Overview of Variables with Example Lecture 41 Lab: Working with Float Variables in Python Lecture 42 Lab: Defining Lists as Variables in Python Lecture 43 Lab: Working with Dictionary Variables in Python Lecture 44 Python Variables: Local vs Global Scope Lecture 45 Lab: Working with Local Variables in Python Lecture 46 Lab: Working with Global Variables in Python Section 7: Return Statement in Python Lecture 47 Return Statement: An Overview with Syntax Lecture 48 Lab: Creating Functions That Return Values Lecture 49 Lab: Functions That Return Multiple Values Lecture 50 Lab: Function for Identifying Even and Odd Values Section 8: Python Functions: Definition and Usage Lecture 51 Introduction to Functions in Python Lecture 52 Advantages of functions in Python Lecture 53 Lab: Functions with Parameters Lecture 54 Lab: Functions with Return Value Lecture 55 Lab: Designing Functions for Basic Arithmetic Operations Lecture 56 Comparing Scripts: Using Functions vs. Not Using Functions Section 9: Utilizing Modules in Function Design Lecture 57 Introduction to Python Modules Lecture 58 An Overview of Built-in Modules Lecture 59 An Overview of User-defined Modules Lecture 60 Lab: Essential Built-in Modules in Python Lecture 61 Lab: OS and Math Modules Lecture 62 Lab: Building Your Own Modules Section 10: Python Packages: Organizing Your Code Lecture 63 Introduction to Python Packages Lecture 64 Key Concepts of Packages Lecture 65 Advantages of Using Packages Lecture 66 Lab: Creating Package Structures and Modules Lecture 67 Importing Modules for Easier Access using __init__.py Lecture 68 Creating a Main Python File to Utilize Your Package Lecture 69 Importing Functions from a Package Section 11: Command Line Arguments in Python Lecture 70 Command Line Arguments with Practical Examples Lecture 71 Lab: Script to Add Two Numbers (No Command Line Arguments) Lecture 72 Lab: Working with sys.argv for Command Line Arguments Lecture 73 Lab: Passing Multiple Arguments to Python Scripts Lecture 74 Lab: Pass Arguments to Add Two Numbers Lecture 75 Lab: Conditional Arithmetic via Script Arguments Lecture 76 Lab: Conditional Arithmetic Using Script Arguments Section 12: Operators in Python: Concepts and Examples Lecture 77 The Basics of Arithmetic Operators in Python Lecture 78 Lab: Exploring Comparison (Relational) Operators Lecture 79 Lab: Comparison Operators (=, >, >=, ==) Lecture 80 Logical Operators: and, or, not Lecture 81 Lab: Using 'and' , 'or' for Logical Operations Lecture 82 Lab: Using 'not' for Logical Operations Lecture 83 Assignment Operators in Python Lecture 84 Lab: Understanding Different Assignment Operators Lecture 85 Membership Operators: 'in' and 'not in' Lecture 86 Lab: Using 'not in' Membership Operators Lecture 87 Operators in DevOps: Practical Use Cases Lecture 88 Use Cases for Operators in the DevOps Workflow Section 13: Conditional Statements in Python Lecture 89 Understanding 'if' statement in Python Lecture 90 Understanding 'else'..'elif' statement in Python Lecture 91 Lab: Implementing if..else Statements Lecture 92 Lab: DevOps Use Cases with if..else..elif Section 14: Understanding Loops in Python Lecture 93 For Loops in Python: Syntax and Usage Lecture 94 While Loops in Python: Syntax and Usage Lecture 95 Lab: Implementing For Loops Lecture 96 Lab: Printing Ranges and Strings with For Loops Lecture 97 Lab: Implementing Infinite While Loops Lecture 98 Lab: Exploring Break Statements in Python Section 15: Real-time Use Case: Lists and Exception Handling in Python Lecture 99 Introduction to the Real-Time Project Lecture 100 Lab: User Input for List Creation Lecture 101 Lab: Understanding split function text.split() Lecture 102 Lab: Identify modules and their functions Lecture 103 Lab: Utilize a for loop to list files Lecture 104 Exception Handling with Try Statement Lecture 105 Lab: Python Script for Handling Exceptions Using Try Statements Lecture 106 Lab: Handling Error - FileNotFoundError Lecture 107 Lab: Handling Known Error - PermissionError Section 16: Integrating Python with GitHub Lecture 108 Integrating Python with GitHub Through the GitHub API Lecture 109 Lab: Install PyGithub and Generate a GitHub Access Token Lecture 110 Lab: Retrieve User Login and Public Repos with Python Lecture 111 Lab: Retrieve GitHub Account Repository List Lecture 112 Lab: Create a New Repository with Python Section 17: Cloning a GitHub Repository with Python Lecture 113 Clone a Repository Using the Subprocess Module Lecture 114 Lab: Clone a Repository with the Subprocess Module Lecture 115 Lab: Using GitPython Library Lecture 116 Lab: Handle Git Errors with Exception Handling Section 18: Boto3 Python Module Lecture 117 Introduction to the Boto3 Python Module Lecture 118 Lab: Install Boto3 and Create an AWS User Account Lecture 119 Lab: Configure GitHub Access from Codespaces via AWS CLI Lecture 120 Lab: List All Buckets with Boto3-1 Lecture 121 Lab: List All Buckets with Boto3-2 Lecture 122 Lab: List All Buckets with Boto3-3 Lecture 123 Lab: Upload a File to a Bucket Using Boto3 Lecture 124 Lab: Download a File to a Bucket Using Boto3 Section 19: Launch EC2 Instance with Boto3 Python Module Lecture 125 Project Overview Lecture 126 Setting Up a User Account in AWS with IAM Lecture 127 Set Up AWS CLI in Codespaces Lecture 128 Begin Python Script: Import Boto3 Lecture 129 Include EC2 Attributes in Python Script Lecture 130 Add Tag Specifications in Python Script Lecture 131 Debug the Python Script Before Execution Lecture 132 Access the EC2 Instance Launched via Python Script Lecture 133 Update the Python Script to Add 20GB EBS Volume Lecture 134 Run Python Script to Confirm EBS Volume Lecture 135 Update Python Script to Include UserData Lecture 136 Update Python Script to Include Apache Package Lecture 137 Run the Revised Python Script and Validate Lecture 138 Access the Apache Server Section 20: CI/CD Automation with Jenkins and Python Lecture 139 Project Overview Lecture 140 Set Up a GitHub Repository for Your Project Lecture 141 Write the Source Code in Python and Push to GitHub Repository Lecture 142 Provision a Jenkins Server Instance in AWS Lecture 143 Connect to the Jenkins Server and Install Java Lecture 144 Install the Jenkins Package on the Server Lecture 145 Set Up Jenkins Configuration Lecture 146 Install Necessary Plugins on the Jenkins Server Lecture 147 Add GitHub Credentials to the Jenkins Server Lecture 148 First Stage of the Pipeline: Checkout the Project Lecture 149 Build the Job Lecture 150 Add a Stage for Installing Python Dependencies Lecture 151 Add a Stage to Execute the Python Script Lecture 152 Setting Up a User Account in AWS with IAM Lecture 153 Create Access Keys for Jenkins Credentials Lecture 154 Set Up Access Keys in Jenkins Pipeline Lecture 155 Export AWS Credentials in Jenkins Pipeline Lecture 156 Build the Job and Verify EC2 Instance Creation in AWS Lecture 157 Access the Web Server Using URL Section 21: Integrate GitHub Webhooks with Jenkins Lecture 158 Setup GitHub Webhooks in Jenkins Lecture 159 GitHub hook trigger for GITScm polling Lecture 160 Add Jenkins Webhook to GitHub Repository Lecture 161 Test the Webhook by Editing the Python Script Lecture 162 Last Lecture Individuals with little or no prior programming experience who want to learn Python from scratch.,DevOps Professionals: Anyone interested in automation, cloud computing, and using Python for DevOps practices.,Students and Professionals: Anyone seeking to enhance their resume or career prospects by adding Python programming to their skill set.,Overall, this course is suitable for anyone eager to learn Python and apply it in real-world scenarios. 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Free Download Python Guided Project - Building Tic-Tac-Toe from Scratch Raj Gaurav Mishra | Duration: 1:03 h | Video: HVC1 1280x720 | Audio: AAC 48 kHz 2ch | 108 MB | Language: English For beginner Python developers curious about developing a game in Python and a portfolio project for resume. This is an entry-level guided project and is about developing a game in Python. This course is designed for beginners who want to start their career journey in the field of IT and Software Engineering. This course is for beginner Python developers curious about developing a game in Python. In this guided project (course), we will implement a game (Tic-Tac-Toe) using Python programming. This will be an implementation of the Tic-Tac-Toe game using random numbers. To maintain simplicity, this game will be programmed to play automatically and no user input will be required. What is Tic-Tac-Toe? Tic-tac-toe, noughts and crosses, or Xs and Os is a paper-and-pencil game for two players who take turns marking the spaces in a three-by-three grid with X or O. The winner is the first player to get three of the same symbols in a row (up, down or diagonally). Homepage https://www.udemy.com/course/python-guided-project-building-tic-tac-toe-from-scratch/ Rapidgator https://rg.to/file/2b20d9c7541e5c98d3cc2bf2867693d3/zvcdo.Python.Guided.Project.Building.TicTacToe.from.Scratch.rar.html Fikper Free Download https://fikper.com/4KHNkSZgV8/zvcdo.Python.Guided.Project.Building.TicTacToe.from.Scratch.rar.html No Password - Links are Interchangeable

Free Download Python For Data Science Your Career Accelerator Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.83 GB | Duration: 10h 37m Master Python and Unlock Data Analysis, Visualization, and Machine Learning Skills What you'll learn Learn the basics of Python, including data types, variables, loops, conditionals, and string manipulation. Gain hands-on experience with essential libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. Learn to clean, transform, and preprocess datasets for analysis, preparing them for real-world data science tasks. Understand the concepts of object-oriented programming (OOP) and apply them to structure Python code efficiently. By the end of the course, students will have completed a data science capstone project, where they will collect, analyze, and present insights from a real-world Requirements No programming experience or knowledge of Data Science required. Just come with a passion to learn. Description Are you ready to embark on an exciting journey into the world of data science? "Python for Data Science: Your Career Accelerator" is meticulously designed to transform beginners into proficient data science professionals, equipping you with the essential skills and knowledge needed to thrive in today's rapidly evolving, data-driven landscape.This comprehensive Python for Data Science course covers:Comprehensive Python Course: Master Python programming from the basics to advanced data science applications, including essential libraries like Pandas and NumPy.Data Analysis: Learn essential techniques to manipulate, clean, and analyze real-world datasets, ensuring your data is ready for actionable insights.Data Visualization: Create impactful visualizations using libraries like Matplotlib and Seaborn to present data in a meaningful way and drive decision-making.Machine Learning: Explore core machine learning concepts and algorithms, from linear regression to classification models, and apply them to solve real-world problems.Hands-on Projects: Work on real-world projects to build practical skills and a strong portfolio for your data science career, preparing you to excel in the field.Career-Focused: Gain the skills to excel in roles like Data Analyst, Data Scientist, or Machine Learning Engineer with the confidence to tackle industry challenges.With a focus on practical, project-based learning, this course equips you with both theoretical knowledge and hands-on experience, ensuring you're ready to succeed in the fast-growing field of data science. Overview Section 1: Python Essentials: From Basics to Collaboration Lecture 1 Welcome Note & Intro to python Lecture 2 Introduction to Google Colab Notebook Lecture 3 Introduction to GitHub Lecture 4 Print & Comment Section 2: Python Basics: Fundamental Concepts and Operations Lecture 5 Variables & Assignment Operators Lecture 6 Understanding Data Types Lecture 7 Understanding Expressions Lecture 8 Arithmetic & Assignment Operators Lecture 9 Relational/Comparison Operators Lecture 10 Logical Operators Lecture 11 Identity & Membership Operators, Type Lecture 12 User Input Section 3: Mastering Conditional Branching in Python Lecture 13 Conditional Statements with Logical Operators Lecture 14 If-elif-else Statements Lecture 15 Switch Case Section 4: Mastering Loops in Python Lecture 16 For Loop Lecture 17 While Loops Lecture 18 Do-While Loop Lecture 19 Break and Continue Statements Section 5: Exploring Functions in Python Lecture 20 Introduction to Functions & Pass Statements in Python Lecture 21 Working with Function Arguments Lecture 22 Functions with Return Types Lecture 23 Understanding Local and Global Variables Lecture 24 Lambda Functions in Python Section 6: Mastering Strings in Python Lecture 25 Creating Strings Lecture 26 Understanding Strings as Arrays Lecture 27 Looping Through Strings Lecture 28 String Manipulation Lecture 29 Essential String Operations Lecture 30 Exploring Useful String Methods Section 7: Mastering Lists in Python Lecture 31 Introduction to Lists Lecture 32 Iterating Through List Items Lecture 33 Exploring List Properties Lecture 34 Mastering List Manipulation Lecture 35 Exploring List Methods in Python Section 8: Mastering Tuples in Python Lecture 36 Introduction to Tuples Lecture 37 Advanced Tuple Operations Lecture 38 Mastering Tuple Operations Lecture 39 Exploring Tuple Methods and Operations Section 9: Mastering Dictionaries in Python Lecture 40 Introduction to Dictionaries Lecture 41 Dictionary Operations Lecture 42 Looping through Dictionaries Lecture 43 Essential Dictionary Methods Section 10: Exploring Sets in Python Lecture 44 Understanding Sets Lecture 45 Exploring Set Operations and Looping Lecture 46 Set Operations Lecture 47 Exploring Set Methods Section 11: Machine Learning with K-Nearest Neighbors Lecture 48 KNN Theory Explained Lecture 49 KNN Regression from Scratch using Python Lecture 50 KNN Classification from Scratch using Python Section 12: Machine Learning with Support Vector Machine Lecture 51 SVM Theory Explained Lecture 52 SVM Regression using Python Lecture 53 SVM Classification using Python Section 13: Machine Learning with K-Means Clustering Lecture 54 Detailed Overview of K-Means Clustering Lecture 55 K-Means Clustering using Python Beginners,Career Switchers,Students,Data Enthusiasts Homepage https://www.udemy.com/course/python-for-data-science-your-career-accelerator/ Rapidgator https://rg.to/file/0b96396af360738b70f969c9f56645d7/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part3.rar.html https://rg.to/file/560bf988f4484f5d21009ea8a33aa391/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part2.rar.html https://rg.to/file/732b91242f1e89a3d5d627f9231d28c2/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part1.rar.html https://rg.to/file/aa873b7af3d02ebdac6ed3f2b635364d/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part4.rar.html Fikper Free Download https://fikper.com/A5VoQywqSj/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part1.rar.html https://fikper.com/ngsEG1P93X/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part2.rar.html https://fikper.com/ww0lblGIhg/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part4.rar.html https://fikper.com/yJgJBFN38T/rkpjb.Python.For.Data.Science.Your.Career.Accelerator.part3.rar.html No Password - Links are Interchangeable

Free Download Python Essentials Complete Beginner's Coding Journey Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 52m | Size: 1.33 GB Master Python fundamentals from scratch: Variables, loops, functions, and more for absolute coding beginners What you'll learn Install Python and set up a programming environment. Understand basic Python concepts like variables, loops, and functions. Work with data structures: lists, dictionaries, sets, and tuples. Create and manage Python projects using modules and file handling. Have access to many practice exercises and solutions along with real world projects. Requirements There are no prerequisites for this course. It's designed for complete beginners. All you need is a computer, an internet connection, and a desire to learn Python programming. Description Embark on your coding journey with our comprehensive Python course, tailored specifically for absolute beginners. No prior programming experience? Perfect! This is where your adventure begins.From the ground up, we'll guide you through:Getting Started: • Installing Python on your system • Setting up your coding environmentPython Fundamentals: • Variables and data types • Basic arithmetic operations • Understanding and writing commentsUser Interaction: • Capturing user input • Type casting for data conversionControl Flow: • Mastering if statements • Implementing logical operators • Utilizing while loops for repetitionData Structures: • Working with lists and tuples • Exploring sets and their unique properties • Harnessing the power of for loops • Organizing data with dictionaries • Introduction to arraysFunctions and Scope: • Creating and using functions • Understanding variable scopeObject-Oriented Programming: • Introduction to classes and objectsModules and File Handling: • Importing and using modules • Reading from and writing to filesThrough hands-on exercises, real-world examples, and progressive challenges, you'll build a robust foundation in Python programming. We focus on practical applications, ensuring you can apply your new skills to real coding scenarios.By the end of this course, you'll transform from a complete novice to a confident Python programmer. You'll have the skills to write your own Python scripts, tackle more advanced programming concepts, and even start building your own applications.Join thousands of successful students who have launched their programming careers with this course. Whether you're looking to enhance your job prospects, automate your daily tasks, or simply explore the exciting world of coding, this course is your perfect starting point.No more feeling intimidated by code - it's time to demystify programming and unlock your potential as a Python developer. Enroll now and take the first step towards becoming a coding champion! Who this course is for This course is perfect for complete beginners with no programming experience, students, or professionals looking to learn Python for career growth, automation, or personal projects. Anyone interested in starting their programming journey will find this course valuable. Homepage https://www.udemy.com/course/python-essentials-complete-beginners-coding-journey/ Screenshot Rapidgator https://rg.to/file/6a0839f049e0a17de6c9fde61b7846a3/datkt.Python.Essentials.Complete.Beginners.Coding.Journey.part2.rar.html https://rg.to/file/82d7a1344414960633a9a79e470552c0/datkt.Python.Essentials.Complete.Beginners.Coding.Journey.part1.rar.html Fikper Free Download https://fikper.com/QXHRGyzXJd/datkt.Python.Essentials.Complete.Beginners.Coding.Journey.part2.rar.html https://fikper.com/Qf8mTD9jFt/datkt.Python.Essentials.Complete.Beginners.Coding.Journey.part1.rar.html No Password - Links are Interchangeable

Free Download Python Data Processing and Visualization Published 10/2024 Created by Studio 01 App MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 1h 10m ) | Size: 471 MB Master Data Manipulation and Visualization with Python What you'll learn: Understand how to manipulate data using Python's core libraries, such as Pandas and NumPy. Create compelling visualizations to communicate insights effectively using Matplotlib and Plotly. Apply data processing techniques to clean and transform data into a usable format. Gain the ability to identify data patterns and present them clearly through visual storytelling. Requirements: Basic knowledge of Python programming is recommended but not required. A willingness to learn and experiment with new tools and techniques. Description: This comprehensive course is designed to take you on an in-depth journey through the world of data processing and visualization using Python.Starting from the basics, we will introduce you to the essential concepts of data manipulation, focusing on powerful libraries like Pandas, NumPy, and others.Throughout the course, we will provide hands-on exercises and real-world examples, ensuring that you gain practical skills to work with different types of data, including structured and unstructured formats.Our focus will then shift to the art of data visualization, where you will explore how to present your data in visually engaging formats using popular libraries such as Matplotlib, Seaborn, and Plotly.The course will cover various chart types, including line charts, bar charts, histograms, scatter plots, heatmaps, and more, helping you understand when and how to use each type effectively.Whether you are a beginner looking to develop core data processing skills or an experienced professional seeking to expand your visualization toolkit, this course provides everything you need to succeed in modern data analysis.By the end of this course, you will be fully equipped to clean, process, analyze, and visualize data, providing valuable insights and making informed decisions based on your analyses. Who this course is for: Aspiring data analysts, data scientists, and professionals interested in enhancing their data processing skills. Anyone looking to improve their ability to analyze and visualize data for better decision-making. Homepage https://www.udemy.com/course/python-data-processing-visualization/ Rapidgator https://rg.to/file/604a618fe4c8df591dd19b6b1574ee13/nlrwz.Python.Data.Processing.and.Visualization.rar.html Fikper Free Download https://fikper.com/2ddzPt6TDx/nlrwz.Python.Data.Processing.and.Visualization.rar.html No Password - Links are Interchangeable

Free Download Python Bootcamp and Introduction to Artificial Intelligence Last updated 8/2024 Duration: 5h47m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 6.78 GB Genre: eLearning | Language: English Master Python Programming and Dive into the World of AI: A Beginner-Friendly Journey from Coding Basics to AI Concepts What you'll learn Gain a strong understanding of Python, including data types, operators, control structures, functions, and classes, enabling you to write efficient and organize Apply Python concepts to solve real-world problems, automate tasks, and create projects, enhancing your logical and algorithmic thinking. Learn foundational concepts of Artificial Intelligence and Machine Learning, including key topics like supervised and unsupervised learning. Use Python libraries like TensorFlow, Keras, and scikit-learn to build, train, and evaluate basic AI models, gaining hands-on experience in AI and ML. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners, so no previous programming experience is required. We'll start from the basics and guide you through each step. Basic Computer Skills: Familiarity with using a computer, including navigating files and installing software, will be helpful but not mandatory. A Willingness to Learn: Bring your enthusiasm and curiosity! A proactive attitude towards learning will help you get the most out of the course. Access to a Computer and Internet Connection: You'll need a computer (Windows, macOS, or Linux) with internet access to download and install Python, follow along with the lessons, and practice coding. Description Welcome to the Python Bootcamp and Introduction to Artificial Intelligence , your comprehensive guide to mastering Python programming and exploring the exciting world of Artificial Intelligence. This course is designed for beginners and those with little to no programming experience who want to build a strong foundation in Python and gain an introductory understanding of AI. Throughout this course, you will Learn Python from Scratch : Start with the basics of Python programming, including variables, data types, control flow, functions, and modules. You'll build your coding skills step by step, working on real-world projects and examples. Explore Advanced Python Concepts : As you progress, you'll dive into more advanced topics such as object-oriented programming (OOP), file handling, and data manipulation. These skills will prepare you for more complex coding challenges. Introduction to AI and Machine Learning : Transition from Python programming to understanding the fundamentals of AI and Machine Learning. Learn key concepts like supervised and unsupervised learning, and discover how AI is applied in various industries. Hands-On Projects : Apply your knowledge through hands-on projects that reinforce your learning. By the end of the course, you'll have a portfolio of projects that demonstrate your skills in both Python and AI. Capstone Project : Complete a final capstone project where you'll integrate everything you've learned to solve a real-world problem using Python and AI techniques. Whether you're aiming to start a career in tech, add programming to your skillset, or simply explore the fascinating world of AI, this course is the perfect starting point. By the end, you'll be confident in your Python programming abilities and have a solid understanding of how AI works, setting you up for future success in the field. Enroll now and start your journey into Python programming and Artificial Intelligence! Who this course is for Complete Beginners: If you've never programmed before and want to start with Python, this course is designed to guide you from the very basics to more advanced concepts. Aspiring Programmers: Those interested in developing a strong foundation in Python programming as a stepping stone towards a career in software development, data science, or web development. Students and Professionals: Whether you're a student exploring programming for the first time or a professional looking to add Python and AI skills to your toolkit, this course offers practical, hands-on experience. AI and Machine Learning Enthusiasts: If you're curious about Artificial Intelligence and Machine Learning but don't know where to start, this course provides an accessible introduction to key concepts and tools. 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Free Download Python BeautifulSoup Programming with Coding Exercises Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 44m | Size: 304 MB Master Web Scraping and Data Extraction with BeautifulSoup Through Practical Coding Challenges What you'll learn How to use BeautifulSoup to extract data from HTML and XML documents. Techniques for navigating and parsing complex HTML structures. Methods for cleaning and organizing scraped data for analysis. Practical experience in scraping data from various websites and handling dynamic content. Requirements Basic knowledge of Python programming. Familiarity with HTML and XML concepts is helpful but not required. Description Welcome to Python BeautifulSoup Programming with Coding Exercises, a hands-on course designed to teach you the art of web scraping using the BeautifulSoup library. BeautifulSoup is a powerful Python tool that allows you to extract data from HTML and XML documents, making it invaluable for data collection, analysis, and automation.In an increasingly data-driven world, the ability to scrape and process web data is a crucial skill. Whether you're looking to gather data for research, automate data collection tasks, or build data-driven applications, understanding how to effectively use BeautifulSoup is essential. This course is tailored to equip you with the practical skills needed to harness the full potential of web scraping.Throughout this course, you'll dive into the core concepts and techniques of BeautifulSoup, complemented by coding exercises designed to solidify your understanding. The course covers:An introduction to web scraping and BeautifulSoup, including its role in data extraction and parsing.Basics of HTML and XML structure to better understand how to navigate and extract data.Techniques for finding and extracting information from HTML documents using BeautifulSoup.How to handle and process complex data structures, including nested tags and attributes.Methods for cleaning and organizing scraped data for further analysis or use.Practical exercises on scraping data from various websites, including handling dynamic content and form submissions.Strategies for respecting website terms of service and ethical considerations in web scraping.By the end of the course, you will have a strong grasp of web scraping fundamentals and practical experience with BeautifulSoup, empowering you to efficiently gather and analyze data from the web.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and web scraping techniques. As an accomplished Python developer and educator, Faisal provides a clear and engaging approach to learning BeautifulSoup, ensuring you gain both theoretical knowledge and practical skills.Certificate at the End of Course: Upon successful completion of the course, you will receive a certificate that validates your skills in web scraping with BeautifulSoup, adding value to your professional credentials. Who this course is for Data enthusiasts and analysts looking to automate data collection from the web. Python developers interested in learning web scraping techniques. Individuals aiming to build skills in data extraction and processing for research or projects. Homepage https://www.udemy.com/course/python-beautifulsoup-programming-with-coding-exercises/ Screenshot Rapidgator https://rg.to/file/8b8a8b7ac4d63fa2212adfe7c234ba36/byrog.Python.BeautifulSoup.Programming.with.Coding.Exercises.rar.html Fikper Free Download https://fikper.com/DCNFcGv5pC/byrog.Python.BeautifulSoup.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Purchases Fraud Investigations & forensic audit Published 10/2024 Created by Guillermo Casal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 32m ) | Size: 1.88 GB Effectively dealing with fraud risks and cases in the purchases process What you'll learn Understand fraud foundamentals and their application in the purchases process Identify vulnerabilities in the purchases process Shape an effective purchases fraud prevention and detection framework Perform effective and efficient audits and investigations on the purchases process Requirements Purchase , audit or investigation responsibilities Description Fraud is a phenomenon that severely and increasingly affects public and private organizations. Specifically, the procurement process is extremely vulnerable to corruption, which is also the most difficult fraud to detect and prove. This is due to its "off-the-books" nature, in which spurious dealings are only indirectly reflected in the organization's accounting (e.g., through markups).In this activity, we will analyze in detail what are the elements that lead to incentivize or discourage fraud in procurement and contracting processes, as well as identify the vulnerabilities that occur in the process, the signs of fraudulent action and the best practices for conducting investigations into fraud committed in the Procurement and Contracting process.We will also provide appropriate tools and methodologies for the prevention, deterrence and detection of fraud in the Procurement and Contracting process in an orderly and systematic manner, and through the interdisciplinary action of professionals from different disciplines.The course provides with effective approaches to effectively determine whether a fraud has occurred, and, in this case, to efficiently clarify authors, responsible individuals and operational schemesIn short: we will provide an adequate framework for the mitigation of fraud in the procurement and contracting process, as well as for improvements in the transparency and efficiency of management. Who this course is for People concerned with the purchases process fraud risks Homepage https://www.udemy.com/course/purchases-fraud-investigations-forensic-audit/ Screenshot Rapidgator https://rg.to/file/bd5a0fea4399e51b3318679bc12af1c8/nwsky.Purchases.fraud.investigations..forensic.audit.part2.rar.html https://rg.to/file/d02158ddc18afa7740775fb07d8f9ae7/nwsky.Purchases.fraud.investigations..forensic.audit.part1.rar.html Fikper Free Download https://fikper.com/iHBQCDvDBy/nwsky.Purchases.fraud.investigations..forensic.audit.part1.rar.html https://fikper.com/k6HN2OOcfh/nwsky.Purchases.fraud.investigations..forensic.audit.part2.rar.html No Password - Links are Interchangeable

Free Download Publish Your First App Without Coding Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 808.47 MB | Duration: 0h 41m Use ChatGPT to generate content and make an android app - No coding required. What you'll learn Publishing android apps Creating developer console account Creating Admob account for generating revenue from ads Creating virtual devices to test apps Using ChatGPT to generate usable content Solving common issues in app publishing Requirements Basic picture editing skills A computer that can run Android Studio Description All the coding required to create an app is already done. You simply need to download the app template and replace the content with your own. The app is designed with built-in ads and features in-app purchases. If a user chooses to use the app for free, they will encounter ads, while making in-app purchases will remove the ads and unlock additional features. The app is designed to be an educational tool with engaging content and quizzes to test users' knowledge.You can generate content for your app using tools like ChatGPT (explained in the course) or write it yourself. The process is straightforward: download the template, follow the step-by-step lectures, and publish your app. The lectures provide a clear explanation of how to use the template to create an app called "Deep Sea Creatures." This will give you a hands-on experience of building the app while incorporating all the features and functionalities.You will also gain access to both the app template and the "Deep Sea Creatures" app, which will serve as a demonstration. Additionally, you will need to create a Google Developer account to publish your app, which requires a one-time fee of $25 paid directly to Google. Overview Section 1: App Template Lecture 1 Review App Template Lecture 2 Download App Template Section 2: Downloading and installing Android Studio Lecture 3 Downloading and installing Android Studio Section 3: Creating A Developer Account Lecture 4 Creating A Developer Account Section 4: Creating virtual device Lecture 5 Creating virtual device Section 5: Making buttons Lecture 6 Making buttons Section 6: Making content using ChatGPT Lecture 7 Making content using ChatGPT Section 7: Generate quizzes using ChatGPT Lecture 8 Generate quizzes using ChatGPT Section 8: Creating Admob account and integrating ads Lecture 9 Creating Admob account and integrating ads Section 9: Creating app Icon and renaming the app Lecture 10 Creating app Icon and renaming the app Section 10: Change app ID Lecture 11 Change app ID Section 11: Uploading your app Lecture 12 Uploading your app Anyone who whises to publish apps in the play store Screenshot Homepage https://www.udemy.com/course/publishappwithoutcoding/ Rapidgator https://rg.to/file/23eb77d2c6f8eb2b7b236d5fc2042a8a/wemrc.Publish.Your.First.App.Without.Coding.rar.html Fikper Free Download https://fikper.com/8ThS2b9637/wemrc.Publish.Your.First.App.Without.Coding.rar.html No Password - Links are Interchangeable

Free Download Public Speaking For Startup Founders And Entrepreneurs Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.89 GB | Duration: 3h 7m Find Out How Start-Up Founders Lockdown 7 Figure Investments With Confident Public Speaking What you'll learn The skill of public speaking in a business setting Pitching to investors and prospective customers Motivational speaking Controlling meetings Requirements No public speaking experience required Description Are you tired of feeling anxious before every presentation? Want to captivate your audience effortlessly? In the fast-paced business world, your ability to speak and communicate effectively can make or break your success. I have combined all my knowledge into a program to turn you into a masterful speaker who commands attention, influences decisions, and leaves a lasting impact.The Public Speaking DilemmaDo you find yourself showing up to board meetings, investing pitches, or presentations, nervous, and you leave with a feeling of regret? Regret because you know you could be one, two, or even three steps ahead in your career if you spoke with confidence when it mattered the most. The stakes are high, and without the right guidance, you risk:Overwhelming Anxiety - You know how important this opportunity is, you let your nerves get the best of you and become overwhelmed with stress.Missed Opportunities - Each opportunity you miss due to clumsy communication skills serves as a painful reminder of how your career's achievements have been limited.Frustrating Misunderstandings - Your difficulty expressing yourself leads to misunderstandings, eroding your confidence in both professional situations and permanently closing the door on opportunities.Unlock Your Voice And Speak Confidently Like A True LeaderWe understand the trials you have endured to get to where you are now, and that's how we know there is still much of your potential to discover. There is a way forward. By conquering the obstacles holding you back you can stand before an audience of one or one hundred and have them captivated, holding to every word you say.Boosted Confidence - As you gain control to unlock endless confidence your self-assurance will soar, empowering you to face any speaking situation with poise.Professional Growth - The ability to communicate effectively is your gateway to securing deals, leadership roles and career development. Overcome your self-doubt, and unlock new opportunities.Effective Communication - You'll be able to express your ideas clearly and connect with your audience on another level, they will understand your pitch and your values through your passion.Helping Entrepreneurs And Founders Find Their Voice To Secure Life-Changing Business DealsHello! My name is Peter, a seasoned business expert, serial entrepreneur, and highly sought-after business coach. I have been where you are in your career right now, feeling like my career is held back because I can't stand at the head of the table and deliver a persuasive pitch for why my investment is right for them. I have been in this game for a while, and I have lots of missed opportunities because of this. But I didn't let that stop me, I learned something at every step of my career that helped me get to where I am now. With extensive experience in developing successful companies in the UK and West Africa, I have spent the last 14 years coaching hundreds of business owners across the world in diverse sectors.This success I have been fortunate to experience didn't come quickly, like I said it came through many failed meetings where I felt like I left something on the table. I don't want you to have the feeling anymore so I have combined everything I know into one proven system for you.You'll gain access to my wealth of knowledge, practical techniques, and insider strategies, all designed to turn you into a confident, captivating speaker that investors would feel foolish not working with.Step 1: Practice Assessing Your EmotionsManage Anxiety Using Simple ExercisesBy becoming aware of your emotions you can properly handle them using practices I have learned over the years. Allowing you to significantly increase your confidence and memory when presenting.Step 2: Master Your MaterialBe Unshakeable With My Notes StrategyCraft the ultimate outline so you are prepared for unpredictable events that threaten to throw you of course. This also helps you learn your material faster while creating a wall of defence for you.Step 3: Focus On Your Message, Not YourselfApply My 3-Question FrameworkBy answering these questions you can shift your focus back towards your message and audience, increasing your performance and creating a more impactful presentation.Step 4: Connect With Your AudienceTools To Make Pitches Enjoyable For EveryoneLearn the best practices to get your audience engaged in your presentation so you can effortlessly form an instant connection with them and make an experience that is memorable for everyone.The Short Cut To Becoming Captivating And Confident In Any Business EnvironmentThis is your fastest route to becoming a persuasive speaker so you can secure million-dollar deals for your business. This program is packed with all the knowledge and strategies to elevate your skills so you can finally be seen as the professional you are.Study over 30 modules, each a treasure trove of professional guidance, expertly crafted to deliver you toward your destination of public speaking mastery.Buckle up for an engaging learning experience with video-based lessons that make absorbing knowledge a breeze. We've simplified the complex, ensuring you grasp even the most intricate aspects of effective public speaking.Comprehensive Curriculum - Benefit from our structured +30-module program, covering every aspect of persuasive public speakingVideo-Based Learning - Engage with instructional videos and downloadable notes for flexible, self-paced learningPractical Exercises - Easily apply your knowledge in real-world scenarios, ensuring you master the skills you need Overview Section 1: Introduction Lecture 1 Introduction to the course and its goals Section 2: How Confident Public Speaking Can Enhance Business Success Lecture 2 How mastering public speaking can benefit startup founders and entrepreneurs Lecture 3 Securing fundings, attracting customers, and building a brand Lecture 4 Myths and misconceptions about public speaking Lecture 5 Building confidence Section 3: Fears of Public Speaking and How To Overcome Them Lecture 6 Our fears of public speaking Lecture 7 Addressing the specific fears and doubts that startup founders may have Lecture 8 Managing anxiety before pitching to investors Section 4: Preparing Your Speech Lecture 9 Defining the specific goals and objectives of a pitch Lecture 10 Crafting a powerful pitch structure Lecture 11 Engaging beginnings, compelling middles, and memorable ends Lecture 12 Preparing your speech with precision Lecture 13 Mastering signposting - guiding your audience Lecture 14 Analysing successful speeches - a deeper dive Lecture 15 Emphasising the importance of a compelling narrative and storytelling Section 5: Using The Language and Rhetoric Lecture 16 Language and rhetoric for pitching Lecture 17 Techniques for conveying the unique value proposition of your startup Section 6: Producing Speaking Notes and Visuals Lecture 18 Creating effective speaking notes Lecture 19 Using tablet computers Lecture 20 Tips for using slides and visuals to enhance your pitch Section 7: Navigating Funding and Investment Presentations Lecture 21 Strategies for pitching to potential investors Lecture 22 Common pitfalls to avoid in investment presentations Section 8: Key Physical Attributes for Effective Public Speaking Lecture 23 Addressing appearance as a startup founder Lecture 24 Techniques for using body language effectively in leadership roles Lecture 25 Mastering the use of your voice Lecture 26 Tips for effectively using speaking notes in entrepreneurial presentations Lecture 27 Connecting with different audiences, including investors, customer, and team etc Section 9: Troubleshooting Lecture 28 Death by PowerPoint Lecture 29 Towards better presentations Lecture 30 Off-the-cuff stuff Lecture 31 Towards effective meetings Lecture 32 Common questions and issues specific to startup founders and entrepreneurs Business startup founders and entrepreneurs Screenshot Homepage https://www.udemy.com/course/public-speaking-for-startup-founders-and-entrepreneurs/ Rapidgator https://rg.to/file/880b3e66588bdc128a101c7953bbd26b/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part1.rar.html https://rg.to/file/96242714427d958d2cfa986c80a738da/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part3.rar.html https://rg.to/file/c7bc4cae6cd251dc432499e91d494140/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part2.rar.html Fikper Free Download https://fikper.com/EopSnb2uY4/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part3.rar.html https://fikper.com/eyHLb4gatv/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part2.rar.html https://fikper.com/lsq8qHDgr2/uuzfc.Public.Speaking.For.Startup.Founders.And.Entrepreneurs.part1.rar.html No Password - Links are Interchangeable