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Free Download Udemy - Object Oriented Programming Bootcamp Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.22 GB | Duration: 6h 6m Learn Object Oriented Paradigm of Programming What you'll learn Students will be able to learn Object Oriented Concepts Students will be able to identify objects and classify them Students will be able to design a class diagram of any small scale project Students will be able to code the small scale project in JAVA programming using object oriented paradigm Requirements Student must understand English Students must have basic programming concepts Students must have laptop Description Welcome to the comprehensive Udemy course on Object Oriented Programming. This course is designed to provide you with a solid foundation in object oriented Programming principles and guide you through the practical aspects of implementing them using Java. Whether you're a beginner looking to understand the basics or an experienced programmer aiming to deepen your understanding of object oriented Programming, this course has something for everyone.Introduction to OOP:We start the course with an Overview of Object Oriented Programming, exploring its fundamental concepts and discussing how it differs from other programming paradigms. We delve into the basic principles that form the backbone of object oriented Programming, setting the stage for a deep dive into its core components.Objects and Classes:Understanding what objects and classes are is crucial in object oriented Programming. We break down these concepts, exploring how to identify objects and their behaviors. Through practical examples, you'll learn how to create classes and instantiate objects, laying the groundwork for hands-on coding exercises.Class Diagram:A key tool in object oriented Programming design is the Class Diagram. We cover the basics of creating class diagrams, enabling you to visually represent the structure of your programs. This skill is essential for effective communication and collaboration in software development.Implement Classes in Java:Get hands-on with Java, one of the most widely used programming languages in the world. We guide you through setting up Java, installing NetBeans, and understanding the basic syntax. You'll learn how to create classes, instantiate objects, and gain a practical understanding of Java's object-oriented features.Features of Classes:Explore the features that make classes powerful in object oriented Programming. We cover access modifiers, encapsulation, constructors, destructors, and the 'this' keyword, giving you a comprehensive understanding of how to design robust and efficient classes.Re-usability in object oriented Programming:Learn the concept of reusability through inheritance and the use of the super keyword. Understand how these features allow you to build upon existing code, promoting code efficiency and maintainability.Communicating Classes in object oriented Programming:Discover the various ways classes communicate in Object Oriented Programming , including association, dependency, aggregation, and composition. Gain insights into how these relationships contribute to building flexible and scalable software.Polymorphism and Abstraction in object oriented Programming:Delve into the concepts of polymorphism, both static and dynamic, and understand how they enhance code flexibility. Explore abstraction through abstract classes and functions, enabling you to design software with clear, modular structures.Project:Apply your knowledge by working on a console-based project. Additionally, get a glimpse into GUI development as we introduce you to the basics of creating graphical user interfaces (GUIs) and guide you through a GUI-based project. At the end of this course, you'll have a solid understanding of Object Oriented Programming, hands on experience with Java, and the skills to design and implement robust software using object oriented Programming principles. Enroll in the course and embark on your journey to becoming a proficient object oriented Programming developer. 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Free Download Udemy - Bootcamp for PLC, HMI and industrial electricity Published: 3/2025 Created by: MohammadReza Mohareb MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 184 Lectures ( 34h 1m ) | Size: 18 GB This is a course for students who want to become professionals in the field of PLC, HMI and industrial electricity What you'll learn After completing the course, you can write PLC projects. After the end of the course, you can review all the projects and, if you wish, change some of the previous projects. After completing the course, you can take on projects and earn significant income from the profession you have learned. After completing the course, you can take the employment exam at many companies. Requirements With this course, you will not need any other course because all the prerequisites are taught within this course itself. You will find 0 to 100 tutorials within this training course. Description In this course, we want to teach the programming of the world's leading brands in industrial automation in a simple way and teach understanding and learning of PLC and HMI programming by creating small projects.In this course, Siemens, Delta, Fatek, Omron, and Allen Bradley brands are taught, and an attempt has been made to teach all of these brands in detail and without any shortcomings, and to teach all commonly used commands.By learning this course, anyone can meet up to 80% of their programming needs, and for the remaining 20%, you can learn on the job using existing tools. The best teacher for anyone is the experience they gain on the job, and this course can be the starting point for your business.This course is a super course that consists of several separate courses that have been collected into one course for you. Because learning PLC programming requires prerequisites, I preferred to include all the prerequisites, especially the industrial electricity part, in this course.So be sure to start the course with the basic topics and follow the topics posted on the Udemy site.This course is taught based on projects, and an attempt has been made to place all the commands and elements within PLC software in small projects to make it easier to understand and learn each command.Thank you very much for your appreciation. Who this course is for This course is for those who work in the electrical field and will help them shine in the industrial automation profession. This course will improve your knowledge of electricity and industrial automation. 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Free Download The Data Science Course - Complete Data Science Bootcamp 2025 Last updated: 1/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 15.87 GB | Duration: 31h 57m Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning What you'll learn The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don't teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google's TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations Requirements No prior experience is required. We will start from the very basics You'll need to install Anaconda. We will show you how to do that step by step Microsoft Excel 2003, 2010, 2013, 2016, or 365 Description *Update 2025: Intro to Data Science module updated for recent AI developments*The ProblemData scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that? Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming) Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture The Solution Data science is a multidisciplinary field. It encompasses a wide range of topics. 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The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Data and Data ScienceBig data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean? Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This 'Intro to data and data science' will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 2. Mathematics Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail. We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on. Why learn it? Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal. 3. Statistics You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist. Why learn it? This course doesn't just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist. 4. PythonPython is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That's why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning.Why learn it? When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language. 5. TableauData scientists don't just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data's story in a way they will understand. That's where Tableau comes in - and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science.Why learn it? A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers. 6. Advanced Statistics Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail. Why learn it? Data science is all about predictive modelling and you can become an expert in these methods through this 'advance statistics' section. 7. Machine Learning The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow. Why learn it? Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines. **What you get**A $1250 data science training program Active Q&A support All the knowledge to get hired as a data scientist A community of data science learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become a data scientist from scratch We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it.Why wait? Every day is a missed opportunity.Click the "Buy Now" button and become a part of our data scientist program today. 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Free Download DBT Emotion Regulation Bootcamp - Fast Track Your Growth Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.50 GB | Duration: 1h 12m Break Free from Emotional Chaos with Proven DBT Skills - Master Self-Regulation, Reduce Stress, and Regain Control! What you'll learn Understand the fundamental principles and concepts of Dialectical Behavior Therapy (DBT) and its history and development. Master a range of emotion regulation strategies, including the ability to identify, label, and effectively cope with various emotions. Develop distress tolerance skills to effectively manage crisis situations, accept distress, tolerate emotional pain, and practice self-soothing techniques. Learn and apply interpersonal effectiveness skills. Effective communication, assertiveness, boundary-setting, building and maintaining healthy relationships, and resolving conflicts. Cultivate mindfulness practices and core mindfulness skills. Requirements No prior knowledge required. Just and interest in personal growth. Description Are you tired of feeling overwhelmed by your emotions? Do you find yourself reacting impulsively in difficult situations, struggling to stay in control? You're not alone, and the good news is that you can break free from emotional chaos and regain control over your life.Introducing DBT Emotion Regulation Bootcamp: Fast-Track Your Growth, a comprehensive online course designed to help you manage intense emotions, reduce stress, and build lifelong emotional resilience. Based on Dialectical Behavior Therapy (DBT), this course provides science-backed techniques to regulate emotions effectively, so you can respond to life's challenges with calm, clarity, and confidence.This course includes:Practical DBT strategies to identify, understand, and manage your emotionsProven tools to stop emotional spirals and break free from impulsive reactionsEngaging exercises, real-life case studies, and interactive discussions to reinforce learningFun activities and worksheets to make skill-building both enjoyable and effectiveA high-quality companion eBook to guide you every step of the wayThis isn't just another self-help course-it's a step-by-step roadmap to emotional mastery, designed for real, lasting transformation. Whether you struggle with stress, anxiety, or emotional ups and downs, these skills will empower you to take control of your emotions-once and for all.The time to change is now. Don't let your emotions control you-take the first step toward emotional freedom today. Enroll now and start your journey toward a calmer, more confident you.For any questions, requests, or suggestions, feel free to email me using the address provided in my profile. This course is designed for individuals who are interested in learning about Dialectical Behavior Therapy (DBT) and developing skills to enhance their emotional well-being and interpersonal effectiveness. It would be most beneficial for those who are open to exploring different therapeutic approaches and are motivated to make positive changes in their lives. The course is suitable for individuals who may experience difficulties in regulating their emotions, coping with distressing situations, communicating effectively, or maintaining healthy relationships. It is also appropriate for those who are interested in practicing mindfulness and developing core mindfulness skills. 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Free Download Programming Bootcamp with Web and Application Development Published: 3/2025 Created by: Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 13h 34m ) | Size: 4.71 GB Learn Python, C++, JavaScript, and PHP/MySQL in a Comprehensive Web and App Development Bootcamp What you'll learn Python: Master the fundamentals of Python programming, including data structures, object-oriented programming, and web development frameworks. C++: Learn the power and efficiency of C++ for building high-performance applications and system-level programming. JavaScript: Create interactive and dynamic web interfaces using JavaScript, including DOM manipulation and asynchronous programming. PHP/MySQL: Build dynamic, database-driven web applications using PHP and MySQL. Learn to design and manage databases, and implement server-side logic. 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This comprehensive programming bootcamp is designed to take you from beginner to advanced, covering multiple in-demand programming languages and technologies, including Python, C++, JavaScript, PHP, and MySQL.What you'll learn: Python: Master the fundamentals, data structures, object-oriented programming (OOP), and automation.C++: Understand powerful system-level programming, game development concepts, and performance optimizationJavaScript: Build interactive web applications with dynamic front-end scripting.PHP & MySQL: Create robust back-end systems, manage databases, and develop full-stack applications.Web Development: Learn HTML, CSS, and JavaScript to build responsive and engaging websites.Application Development: Apply programming concepts to create real-world applications.Why Choose This Bootcamp?Comprehensive Curriculum: Dive deep into the core concepts of Python, C++, JavaScript, and PHP/MySQL. Learn everything from fundamental programming principles to advanced application development techniques.Practical, Hands-On Learning: Forget dry lectures! This course emphasizes practical application through real-world projects. Build a portfolio of impressive projects that demonstrate your skills to potential employers.Full-Stack Development: Master both front-end and back-end development. Learn to create interactive user interfaces with JavaScript and build robust server-side applications with Python, C++, and PHP/MySQL.Database Integration: Discover the power of PHP/MySQL for building database-driven applications. Learn how to design, implement, and manage databases to store and retrieve data efficiently.Cross-Platform Development: Gain the versatility to build applications for various platforms. 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Free Download Complete Computer Vision Bootcamp With Pytoch & Tensorflow Published: 3/2025 Created by: Krish Naik,Sourangshu Pal,Monal kumar,KRISHAI Technologies Private Limited MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 175 Lectures ( 51h 46m ) | Size: 27.5 GB Learn Computer Vision with CNN, TensorFlow, and PyTorch - Master Object Detection from Basics to Advanced What you'll learn Master CNN concepts from basics to advanced with TensorFlow & PyTorch. Learn object detection models like YOLO and Faster R-CNN. Implement real-world computer vision projects step-by-step. Gain hands-on experience with data preprocessing and augmentation. Build custom CNN models for various computer vision tasks. Master transfer learning with pre-trained models like ResNet and VGG Gain practical skills with TensorFlow and PyTorch libraries Requirements Basic understanding of Python programming. Familiarity with fundamental machine learning concepts. Knowledge of basic linear algebra and calculus. Understanding of image data and its structure. Enthusiasm to learn computer vision with hands-on projects. Description In this comprehensive course, you will master the fundamentals and advanced concepts of computer vision, focusing on Convolutional Neural Networks (CNN) and object detection models using TensorFlow and PyTorch. This course is designed to equip you with the skills required to build robust computer vision applications from scratch.What You Will LearnThroughout this course, you will gain expertise in:Introduction to Computer VisionUnderstanding image data and its structure.Exploring pixel values, channels, and color spaces.Learning about OpenCV for image manipulation and preprocessing.Deep Learning Fundamentals for Computer VisionIntroduction to Neural Networks and Deep Learning concepts.Understanding backpropagation and gradient descent.Key concepts like activation functions, loss functions, and optimization techniques.Convolutional Neural Networks (CNN)Introduction to CNN architecture and its components.Understanding convolution layers, pooling layers, and fully connected layers.Implementing CNN models using TensorFlow and PyTorch.Data Augmentation and PreprocessingTechniques for improving model performance through data augmentation.Using libraries like imgaug, Albumentations, and TensorFlow Data Pipeline.Transfer Learning for Computer VisionUtilizing pre-trained models such as ResNet, VGG, and EfficientNet.Fine-tuning and optimizing transfer learning models.Object Detection ModelsExploring object detection algorithms like:YOLO (You Only Look Once)SSD (Single Shot MultiBox Detector)Faster R-CNNImplementing these models with TensorFlow and PyTorch.Image Segmentation TechniquesUnderstanding semantic and instance segmentation.Implementing U-Net and Mask R-CNN models.Real-World Projects and ApplicationsBuilding practical computer vision projects such as:Face detection and recognition system.Real-time object detection with webcam integration.Image classification pipelines with deployment.Who Should Enroll?This course is ideal for:Beginners looking to start their computer vision journey.Data scientists and ML engineers wanting to expand their skill set.AI practitioners aiming to master object detection models.Researchers exploring computer vision techniques for academic projects.Professionals seeking practical experience in deploying CV models.PrerequisitesBefore enrolling, ensure you have:Basic knowledge of Python programming.Familiarity with fundamental machine learning concepts.Basic understanding of linear algebra and calculus.Hands-on Learning with Real ProjectsThis course emphasizes practical learning through hands-on projects. 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Free Download Udemy - SolidWorks Modeling Bootcamp by Hemin Talib Published: 3/2025 Created by: Hemin Talib MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 2h 11m ) | Size: 1.25 GB Master SOLIDWORKS 3D CAD using real-world examples What you'll learn Students will learn how to create detailed 2D sketches and transform them into 3D models using Solidworks' powerful design tools. They will gain hands-on experience with assembly design, understanding how to combine multiple parts into functional mechanical systems. The course will cover advanced features like simulation and stress analysis, teaching students how to test and optimize their designs for real-world application By the end of the course, students will be proficient in generating technical drawings and documentation, ready for manufacturing or professional use. Requirements Basic Computer Skills: Students should be comfortable using a computer, navigating software interfaces, and managing files. Fundamental Understanding of Engineering or Design Concepts: A basic knowledge of mechanical design, drafting, or engineering principles is helpful but not mandatory. Access to Solidworks Software: Students will need access to Solidworks (student, professional, or trial version) to practice and complete assignments. Motivation to Learn: No prior experience with Solidworks is required, but a willingness to engage with the material and practice regularly is essential for success. Description Progress from complete beginner to Solidworks 2025 master in one single course!Solidworks is one of the most popular and powerful 3D CAD programs in the world. Millions of people use it to design everything from 3D-printed toys all the way up to fully-working mechanical vehicles. Now you can join the ranks of Solidworks users, and learn to create your own models completely from scratch!Why this course is differentThere are many Solidworks courses online, but none quite like this one:We use real world examples during learning! This allows you to relate to your lessons more easily and so remember and understand them better!Taught by a Solidworks professional! The instructor been using Solidworks since 2011 and has even taken a range of official Solidworks-certified training courses. The instructor currently works as a Product Design Engineer and uses Solidworks every day to design all sorts of things for real clients - no academic-only experience here!No prior knowledge needed. This course is designed to take you from having never used any CAD program before to being able to model almost anything you can imagine!Understand the wider context of CAD use. As well as explaining the basic CAD techniques this course also details how they relate to real world uses, such as 3D Printing and injection molding.Fully updated for Solidworks 2025! The course has been completely redesigned and optimised for the 2025 version of Solidworks and now includes specialist Features like the Thread Tool, Mounting Bosses, Snap Hooks, Lip & Groove, and more. Who this course is for Engineering Students: Those studying mechanical, civil, industrial, or related fields who want to gain practical 3D design and modeling skills. Aspiring Designers and Engineers: Individuals looking to enter industries like product design, manufacturing, or automation and need proficiency in Solidworks. Professionals Seeking Skill Enhancement: Working engineers or designers who want to upgrade their skills, learn Solidworks, or improve their technical drawing and modeling capabilities. Hobbyists and Makers: Enthusiasts interested in 3D printing, prototyping, or personal projects who want to bring their ideas to life using Solidworks. Homepage: https://www.udemy.com/course/solidworks-2025-modeling-bootcamp/ [b]AusFile[/b] https://ausfile.com/wsh5y3k1qtrt/gvtwn.SolidWorks.Modeling.Bootcamp.part1.rar.html https://ausfile.com/2p9lpnbrgpkj/gvtwn.SolidWorks.Modeling.Bootcamp.part2.rar.html Fileaxa https://fileaxa.com/7u1mircp5wsq/gvtwn.SolidWorks.Modeling.Bootcamp.part1.rar https://fileaxa.com/yadscj425j4d/gvtwn.SolidWorks.Modeling.Bootcamp.part2.rar TakeFile https://takefile.link/cpgoy0egpuai/gvtwn.SolidWorks.Modeling.Bootcamp.part1.rar.html https://takefile.link/h0xyiyk35l1q/gvtwn.SolidWorks.Modeling.Bootcamp.part2.rar.html Rapidgator https://rg.to/file/8a762ee0db6cd70f2f363eee186b85df/gvtwn.SolidWorks.Modeling.Bootcamp.part1.rar.html https://rg.to/file/5a22854dc0836a1df9349b9503c78355/gvtwn.SolidWorks.Modeling.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/rnBqBapazC/gvtwn.SolidWorks.Modeling.Bootcamp.part1.rar.html https://fikper.com/k1VMyfzFpn/gvtwn.SolidWorks.Modeling.Bootcamp.part2.rar.html No Password - Links are Interchangeable

Free Download C++ Bootcamp - Vom Anfanger zum C++ - Entwickler! Last updated: 1/2025 Created by: Jannis Seemann MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: German | Duration: 197 Lectures ( 19h 16m ) | Size: 4.2 GB Die Schritt-für-Schritt - Anleitung für die Programmiersprache C++. Inklusive vielen Beispielen & Übungen What you'll learn Dein Schnellstart in die Welt von C++ Lerne alle Grundlagen Mit vielen Beispielen und Übungen Verstehe auch das Wieso und Warum Lerne am Beispiel: Desktop-App mit Qt entwickeln Verstehe Objektorientierung Requirements Du solltest einen PC bedienen können (Grundkenntnisse reichen aus) Du benötigst keine Programmierkenntnisse Alle benötigten Programme (Xcode bzw. Visual Studio, QtCreator) werden wir im Rahmen des Kurses herunterladen und bei dir installieren. Du benötigst ca. 10GB freien Festplattenplatz Description Erstelle coole Programme in C++ - sowohl einfache, textbasierte Programme, als auch coole Desktopanwendungen (Mac, Linux, Windows) mit Qt und bringe dadurch deine Karriere voran! C++ ist mit eine der wichtigsten Programmiersprachen - jeder Entwickler sollte sie in dem eigenen Toolkit haben! Dieser Kurs bringt dir Schritt für Schritt alles bei, was du zum Thema C++ wissen musst Grundlagen: Datentypen, Variablen und Funktionen, KontrollstrukturenObjektorientierung: Konzept, inkl. verschiedenen BeispielenDatenstrukturen: Arrays, Vektoren, Listen, Sets, Maps, usw.Fortgeschrittene Konzepte: Referenzen, Pointer, Iteratoren, Namespaces, Exceptions, ... Zudem gibt's am Ende des Kurses noch einen Bonus (ca. 2.5 Stunden), in dem ich dir zeige, wie du mit Qt coole Desktopanwendungen entwickeln kannst. Zudem entwickeln wir anschließend ein kleines Spiel (Galgenmännchen) mit Qt. Zudem gibt es in diesem Kurs viele Praxisbeispiele und Übungen. Dadurch lernst du C++ nicht nur theoretisch, sondern kannst das Wissen anschließend auch anwenden. Nach diesem Kurs bist du in der Lage, C++-Anwendungen zu programmieren. Du hast alle wichtigen Konzepte der Programmiersprache C++ verstanden, und kannst objektorientierten Code schreiben - wichtig sowohl für den privaten, als auch professionellen Einsatz, und für dein nächstes Jobinterview! Who this course is for Anfänger, die den Einstieg in die Programmierung finden möchten, oder auch Leute, die schon programmiert haben, und jetzt die Programmiersprache C++ lernen möchten Homepage: https://www.udemy.com/course/cpp-bootcamp/ [b]AusFile[/b] https://ausfile.com/dqc1ps6f45zb/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part1.rar.html https://ausfile.com/rb64uyp66zwc/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part2.rar.html https://ausfile.com/jnyn5zfaq6i8/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part3.rar.html https://ausfile.com/g1ig3spay8qf/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part4.rar.html https://ausfile.com/gn3ruxtfkdlr/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part5.rar.html Rapidgator https://rg.to/file/36d6c79518ff9542b5b7a85ff61d5efc/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part1.rar.html https://rg.to/file/75e000164cf62af3c2cfafb51a6cbbc4/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part2.rar.html https://rg.to/file/2b8688aea665ad92ca393e30f1c54a9d/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part3.rar.html https://rg.to/file/fe2094aa56683a95230bed8f156c7527/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part4.rar.html https://rg.to/file/714971e2ef3e045dbdf2acd8b595f343/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part5.rar.html Fikper Free Download https://fikper.com/YGywPPTVzp/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part1.rar.html https://fikper.com/arnOFLUDzc/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part2.rar.html https://fikper.com/TThh2quDb0/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part3.rar.html https://fikper.com/a9DkKUa5vN/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part4.rar.html https://fikper.com/BoVXweeAiq/hianl.C.Bootcamp.Vom.Anfanger.zum.C..Entwickler.part5.rar.html No Password - Links are Interchangeable

Free Download Complete 2025 Python Bootcamp - Learn Python from Scratch Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 9h 31m | Size: 8.58 GB Master Python Programming from Scratch: Build Real-World Projects and Become Job-Ready in 2025 What you'll learn Master Python Basics: Learn Python programming fundamentals, including variables, data types, loops, and conditionals. Work with Real-World Data: Gain hands-on experience using Python libraries like Pandas and NumPy for data analysis. Build Projects from Scratch: Develop practical Python projects, such as calculators, games, and automation scripts. Understand Object-Oriented Programming (OOP): Learn how to design classes, objects, and implement inheritance in Python. Automate Tasks with Python: Use Python to simplify repetitive tasks, including file handling and web scraping. Requirements No prior programming experience is required - this course is designed for complete beginners. A computer (Windows, macOS, or Linux) with an internet connection. Basic computer skills, such as using a web browser and installing software. A willingness to learn and a curious mindset! Description Welcome to Complete 2025 Python Bootcamp: Learn Python from Scratch! This course is your ultimate starting point to master Python and become a confident coder-whether you're a complete beginner or looking to sharpen your skills.In this comprehensive, step-by-step course, you'll start with the basics and gradually progress to advanced topics, learning how to build real-world applications along the way. Python is one of the most versatile and in-demand programming languages, used in fields like web development, data science, machine learning, automation, and more. By the end of this course, you'll have the skills and knowledge to take on professional coding challenges and start your career in tech.What you'll learn:Python programming fundamentals, including variables, loops, conditionals, and data types.How to build Python projects from scratch, including games, automation scripts, and web applications.Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems. Debugging and problem-solving techniques to write clean, efficient code.Practical tips and techniques to prepare for coding interviews and real-world development tasks.Why Take This Course?Beginner-Friendly: No prior programming experience is required.Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.Real-World Applications: Learn Python in the context of actual use cases, from web scraping to automating tasks.Career-Focused: Equip yourself with the skills needed to land your first job or advance your career in tech.Whether you want to automate daily tasks, create web apps, or explore data science, this course is the perfect place to start your Python journey. Join me, and let's transform you from a Python novice to a confident coder ready for the job market! Who this course is for Complete Beginners: Individuals with no prior programming experience who want to start their journey in Python and coding. Aspiring Programmers: Students and professionals looking to build a strong foundation in Python for academic or career purposes. Career Changers: People from non-technical backgrounds who want to transition into tech or software development. Hobbyists and Enthusiasts: Anyone interested in learning Python to automate tasks, build projects, or explore programming as a hobby. Future Data Scientists and Developers: Those aiming to use Python for data analysis, web development, or machine learning in the future. 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Free Download NEW-Comprehensive Go Bootcamp with gRPC and Protocol Buffers Published: 3/2025 Created by: Ashish Sharma MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 329 Lectures ( 96h 27m ) | Size: 36 GB 2025: Conquer all concepts of Go Language: Basics to Advanced with extensive coverage on Protocol Buffers and gRPC. What you'll learn Comprehensive Examples of Basic Concepts. Detailed Explanation and Practice of Intermediate level Concepts in Go. Highly Extensive Section on Advanced Concepts in Golang. Detailed Explanation of GoRoutines: Complete Coverage with many examples to master the concept. Comprehensive Explanation and Extensive Practice on Protocol Buffers and gRPC. We will make REST API in Go. We will make a gRPC API in Go. How concurrency works in Go? Quizzes and Slides with downloadable PDF material. Git and Github. Pointers in Go. Detailed Explanation and Practical Examples of Struct, Maps, Slices in Go. Importance and Various Use Cases of CHANNELS in Go. Real Use Case Based API Examples with SQL and NoSQL Usage. API Folder Structure. Learn How to Plan Before Making an API. *** Important for beginners*** Learn How to Make Professional, Industry Standard APIs MongoDB and MariaDB(Drop in replacement for MySQL) Advanced API Benchmarking Tools like wrk, h2load, ghz etc. Make HTTP2, HTTPS API. Learn How to Implement TLS/SSL in API. Learn How to Code Your Own Middleware from scratch Learn how to read Go Source Code and Find Solutions to Any Problem Learn to use Algorithms in Real World Cases Interview Preparation: Question Bank with 350+ Questions and Answers How Does Go runtime Work? Why is it important to understand it? Become an expert in using Reflect Package. Comprehensive use of Reflect in gRPC & REST API projects in this course. Requirements No programming experience/knowledge needed. You'll learn everything from scratch in this course. No prior knowledge of Go is needed, nor assumed. Linux/Mac/Windows/ChromeOS/UnixBasedOS PC with Internet connection. Description Released in 2025. BRAND NEW COURSE.* Master The Go Programming Language: Elevate Your Skills! *--Description--nbsp; A Job Landing Course $Step into the world of Go programming with confidence and expertise through our comprehensive course designed to empower both novices and seasoned developers alike. Go Bootcamp with gRPC and Protocol BuffersWelcome to the ultimate journey into Go programming! Whether you're a beginner aiming to dive headfirst into software development or an experienced coder looking to sharpen your skills, this comprehensive course is tailored just for you.What you'll learnConquer Go Language: From foundational concepts to advanced techniques, this course covers everything you need to know about Go. We start with the basics and progress to intricate topics like Protocol Buffers and gRPC, ensuring you grasp each concept with clarity and confidence.Practice Makes Perfect: Gain hands-on experience through extensive practice sessions. You'll not only understand basic and intermediate concepts deeply but also master advanced topics with practical examples and real-world projects.GoRoutines and Concurrency: Delve into GoRoutines, concurrency models, and understand how Go handles parallelism effortlessly. Through numerous examples and exercises, you'll become proficient in leveraging concurrency effectively.Protocol Buffers and gRPC: Explore the powerful combination of Protocol Buffers and gRPC, essential for building efficient and scalable APIs. Detailed explanations and extensive practice will equip you to integrate these technologies seamlessly into your projects.Building APIs: Learn to create RESTful and gRPC APIs in Go from scratch. Dive into API folder structures, planning strategies, and practical considerations to ensure your APIs are robust and scalable.Data Structures and Pointers: Master the nuances of data structures like Structs, Maps, and Slices, and understand the critical role of pointers in Go programming.Channels: Uncover the importance of channels in Go for synchronization and communication between Goroutines, with practical use cases and scenarios.Real-World Projects: Apply your newfound skills to develop practical projects that simulate real-world scenarios, integrating SQL and NoSQL databases to create functional APIs.Git and GitHub: Learn essential version control skills using Git and GitHub, enabling you to collaborate effectively and manage your codebase efficiently.Benchmarking Techniques and Tools: Understand the significance of performance benchmarking in Go. Learn how to measure execution time, optimize code efficiency, and use industry-standard benchmarking tools to analyze and enhance the performance of your applications.Create HTTP2 and HTTPS Servers: Dive into advanced networking by building secure and high-performance HTTP/2 and HTTPS servers in Go. Learn how to implement TLS encryption, optimize server response times, and handle concurrent client requests effectively.Code Obfuscation Tools: Explore techniques for protecting your Go code from reverse engineering. Learn how to use code obfuscation tools to make your compiled binaries harder to analyze, ensuring security for proprietary algorithms and sensitive business logic.Why Choose This Course?Comprehensive Learning: Designed for beginners and seasoned developers alike, this course requires no prior programming experience. You'll start from scratch and emerge with the ability to build professional-grade APIs and applications.Practical Approach: Each module includes quizzes, downloadable slides, and PDF materials to reinforce your learning. The emphasis on practical examples ensures you not only understand but can apply your knowledge immediately.Career Readiness: By the end of the course, you'll possess the skills and confidence to tackle programming challenges in any professional setting. Whether you aspire to enter the job market or advance your current career, this course equips you with the expertise employers seek.Join me on this transformative journey into Go programming. Let's unlock the full potential of your coding abilities and pave the way to your success in the dynamic world of software development. Enroll now and embark on your path to becoming an expert in using gRPC and Go programming language. 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Free Download Python Dsa Bootcamp - Master Data Structures & Algorithms Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.47 GB | Duration: 8h 18m Master Data Structures and Algorithms: Build Efficient Solutions with Trees, Graphs, Sorting, and Searching Techniques What you'll learn Understand and define key data structures such as arrays, linked lists, stacks, and queues. Analyze algorithm efficiency using Big O notation and identify time and space complexity. Implement common algorithms for searching and sorting, including binary search and quicksort. Solve complex problems using advanced data structures like trees, graphs, and hash tables. Requirements Basic understanding of programming concepts (variables, loops, and conditionals). Familiarity with at least one programming language (e.g., Python, Java, or C++). No prior experience with data structures or algorithms is required; you will learn everything you need to know. Description In this comprehensive course, you will dive deep into the world of data structures and algorithms, which are essential for any aspiring software developer. Understanding these concepts is crucial for writing efficient code and solving complex problems. Throughout the course, you will learn to implement and utilize key data structures such as arrays, linked lists, stacks, and queues. These foundational structures will serve as the building blocks for more advanced topics.As you progress, you will explore advanced data structures like trees and graphs, which are vital for representing hierarchical data and relationships. You will gain hands-on experience through coding exercises that reinforce your understanding and application of these concepts. Additionally, you will learn to analyze algorithm efficiency using Big O notation, allowing you to evaluate the performance of your code in terms of time and space complexity.The course will also cover essential algorithms for searching and sorting, including linear search, binary search, quicksort, and mergesort. By mastering these algorithms, you will be equipped to tackle a variety of programming challenges effectively.By the end of the course, you will have the skills and confidence to optimize your solutions and improve your coding proficiency. Join us to enhance your problem-solving abilities and take your programming skills to the next level!What you will learn:Fundamental Data Structures: Understand and implement basic data structures such as arrays, linked lists, stacks, and queues, and learn when to use each.Advanced Data Structures: Explore more complex structures like trees (binary trees, AVL trees, and binary search trees) and graphs (directed and undirected), including their properties and applications.Algorithm Analysis: Analyze the efficiency of algorithms using Big O notation, and learn to evaluate time and space complexity to make informed decisions about code performance.Searching Algorithms: Master various searching techniques, including linear search and binary search, and understand their use cases and performance implications.Sorting Algorithms: Implement and compare different sorting algorithms, such as bubble sort, selection sort, quicksort, and mergesort, to understand their strengths and weaknesses.Recursion: Learn the principles of recursion and how to apply it to solve problems, including recursive algorithms for searching and sorting.Problem-Solving Techniques: Develop critical thinking and problem-solving skills through hands-on coding exercises and real-world projects that challenge you to apply what you've learned. This course is designed for aspiring software developers, computer science students, and anyone interested in enhancing their problem-solving skills through data structures and algorithms. Whether you're a beginner looking to build a strong foundation or an experienced programmer wanting to refresh your knowledge, this course will provide valuable insights and practical skills. Bookmark message Copy message Homepage: https://www.udemy.com/course/python-dsa-bootcamp-master-data-structures-algorithms/ DOWNLOAD NOW: Python Dsa Bootcamp - Master Data Structures & Algorithms Rapidgator https://rg.to/file/930cfc64dfe7ff5fa3e8bc66e387c29d/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part1.rar.html https://rg.to/file/e9f829d5f0602f84d828f27aeb3c7dd1/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part2.rar.html Fikper Free Download https://fikper.com/Ql9EwVtJ8B/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part1.rar.html https://fikper.com/Oi3foHk3Yn/retck.Python.Dsa.Bootcamp..Master.Data.Structures..Algorithms.part2.rar.html No Password - Links are Interchangeable

Free Download Learn Python Programming - A Complete Bootcamp Published: 3/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 298 Lectures ( 23h 54m ) | Size: 13.3 GB Python Bootcamp: From Fundamentals to Mastery - Build a Strong Foundation in Programming What you'll learn Understand Python syntax and basic operations. Implement loops and conditional statements effectively. Use functions for modular and reusable code. Perform mathematical operations using math modules. Work with sets, tuples, lists, and dictionaries for data storage. Apply object-oriented programming (OOP) principles. Utilize classes, inheritance, and polymorphism in OOP. Implement basic data structures for efficient problem-solving. Explore Python modules for enhanced functionality. Requirements No programming required. You will learn everything you need Description Welcome to the Python Bootcamp, a comprehensive hands-on course designed to help you master Python programming from the ground up. Whether you are a complete beginner or someone looking to refine your coding skills, this course is structured to provide a step-by-step learning experience covering fundamental concepts to advanced programming techniques.Why Take This Course?Python is one of the most popular programming languages in the world, known for its simplicity, readability, and versatility. It is widely used in web development, data science, artificial intelligence, automation, and software engineering. 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Functions and Modular ProgrammingDefining and calling functions in Python.Function parameters, return values, and scope.The importance of code reusability and modular programming.4. Math Modules and Built-in FunctionsPerforming mathematical operations using the math module.Exploring built-in functions for calculations and data manipulation.5. Data Collections: Sets, Tuples, Lists, and DictionariesUnderstanding lists and their operations (sorting, indexing, slicing).Using tuples for immutable collections.Leveraging sets for unique elements and mathematical operations.Working with dictionaries for key-value data storage.6. 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Free Download Build 11 JavaScript Application and Web JavaScript BootCamp Published: 3/2025 Created by: Learnify IT MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 6h 1m ) | Size: 1.57 GB Build 11 Powerful JavaScript Applications: A Complete Guide to Learning JavaScript Through Projects What you'll learn Master the core JavaScript fundamentals - variables, data types, loops, functions, and more. Learn how to manipulate the DOM, create dynamic content, and interact with users in real-time. Gain hands-on experience by building 11 fully functional applications using JavaScript. Debugging & Error Handling: Learn how to troubleshoot and fix common issues in JavaScript code. Develop skills in version control using Git and deploying your projects to the web. Requirements Basic skills on computer If you have basic knowledge on HTML, CSS that would be helpful Description Master JavaScript Web Development by Building 11 Real-World Applications!Are you ready to transform your JavaScript skills and build a powerful portfolio? This comprehensive bootcamp is your gateway to becoming a proficient web developer. In this course, you'll dive deep into JavaScript by building 11 diverse and engaging web applications from scratch.What you'll learn:Hands-on JavaScript Development: Learn by doing, with practical projects that solidify your understanding.Real-World Application Building: Create 11 unique web applications, showcasing your skills to potential employers.Modern JavaScript Techniques: Master ES6+ features, DOM manipulation, asynchronous JavaScript, and more.API Integration: Learn how to fetch and utilize data from APIs to build dynamic web apps.Problem-Solving Skills: Develop the ability to tackle real-world JavaScript challenges.Portfolio Building: Create a robust portfolio of projects that demonstrate your expertise.Job-Ready Skills: Gain the skills employers are looking for in JavaScript developers.Course Highlights:Build 11 fully functional JavaScript web applications.Step-by-step guidance through each project.Clear and concise explanations of complex concepts.Additional projects Responsive instructor support to answer your questions.Who this course is for :Anyone who wants to learn or level up their application and web development skills and build a solid portfolio with JavaScript.Enroll now and start building your future as a JavaScript web developer!" Who this course is for Anyone who wants to learn or level up their application and web development skills and build a solid portfolio with JavaScript. Homepage: https://www.udemy.com/course/build-11-javascript-application-and-web-javascript-bootcamp/ Rapidgator https://rg.to/file/ee3f2c316bec9e2268708d369d57d991/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part1.rar.html https://rg.to/file/cd180285dec8a83e707fc0ee70aee3c4/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part2.rar.html Fikper Free Download https://fikper.com/9tkOgvxgxi/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part1.rar.html https://fikper.com/PQV70WuZTh/rszoj.Build.11.JavaScript.Application.and.Web.JavaScript.BootCamp.part2.rar.html : No Password - Links are Interchangeable

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Free Download Python Programming Bootcamp From Basics to Expert (2025) Published: 2/2025 Created by: Mohit . MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 112 Lectures ( 21h 16m ) | Size: 8 GB Python basics, data structures, OOP, functional programming, API , Data Exploration What you'll learn Master Python Basics: Learn Python installation, syntax, variables, operators, and core programming concepts like loops and conditionals. Explore Python Data Structures: Gain proficiency in using strings, tuples, lists, dictionaries, and their operations. Understand Python Functions: Learn to create functions with arguments, return values, default values, and variable-length arguments. Handle Files and Exceptions: Develop skills in file handling and managing exceptions for robust programming. Utilize Python Libraries: Explore special functions, random module, collections, and modules like datetime, time, and pytz. Implement Advanced Techniques: Work with regular expressions, object-oriented programming (OOP), and Python's operating system interfaces. Work with Multithreading and Multiprocessing: Learn to optimize tasks using Python threading and multiprocessing. Requirements No Prior Programming Experience Needed: This course is designed for absolute beginners as well as those looking to deepen their Python knowledge. A Computer with Internet Access: Learners need a Windows, macOS, or Linux computer with an active internet connection for downloading tools and materials. Basic Computer Skills: Familiarity with using a computer, navigating files, and installing software is helpful but not mandatory. Curiosity and Willingness to Learn: A positive mindset and eagerness to explore programming concepts will help you succeed in this course. Description This course is designed to provide a thorough understanding of Python programming, starting from the basics and progressing to advanced concepts. Whether you are a beginner or an experienced programmer looking to enhance your skills, this course will equip you with the knowledge and practical experience needed to master Python. The course is structured to cover a wide range of topics, ensuring a holistic learning experience.Introduction to Python and InstallationThe course begins with an introduction to Python, highlighting its simplicity and versatility. You will learn how to install Python on different operating systems, including Windows and Linux. We will also cover the use of Virtualenv, a tool to create isolated Python environments, which is essential for managing dependencies and avoiding conflicts between projects.Basic Python Syntax and VariablesNext, we delve into the basic syntax of Python, including the use of backslashes, strings inside quotes, escape sequences, and formatted output using f-strings. 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This course will teach you how to work with the Time, Datetime, and Pytz modules to manage and manipulate date and time data effectively.Regular Expressions and OOPRegular expressions are a powerful tool for text processing, and you will learn how to use them in Python with functions like match(), search(), sub(), and findall(). The course also covers Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, method overriding, operator overloading, and private variables.Operating System Interfaces and LoggingYou will learn how to interact with the operating system using Python's os module, which provides functions for file and directory operations. The course also covers Python logging, which is essential for debugging and monitoring your applications.Concurrency: Threading, Multiprocessing, and SubprocessThe course introduces you to concurrent programming in Python, covering threading, multiprocessing, and the subprocess module. 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Who this course is for Beginners in Programming: Individuals with little to no programming experience who want to start their coding journey with Python. Aspiring Python Developers: Students and professionals looking to master Python for software development, data analysis, or automation. Professionals Switching to Python: Developers or IT professionals familiar with other programming languages who want to transition to Python. 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Free Download ZerotoMastery - AI Engineering Bootcamp Retrieval Augmented Generation (RAG) for LLMs Released 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 150 Lessons ( 17h 53m ) | Size: 4.8 GB Learn to make smarter AI systems by combining LLMs with Retrieval-Augmented Generation (RAG). Build real-world projects using RAG architecture including chatbots, financial analysis tools, and much more! What you'll learn Combine generative AI models with Retrieval Augmented Generation to build smarter AI systems Use OpenAI APIs for text generation and processing unstructured data Master FAISS for efficient similarity searches in massive datasets Apply prompt engineering techniques for optimal AI responses Build real-world AI projects like chatbots and financial analysis tools Explore advanced RAG concepts like multimodal and agentic RAG What Is An AI Engineer? The short version is that an AI Engineer works on the entire lifecycle of an AI application - that is, an application that utilizes AI at its core. An AI Engineer takes AI models, including Large Language Models, and customizes them to their needs. (If you want the long version, check out our blog post here) That requires everything from building models using custom datasets, to training and tuning models, to deploying models and scaling them using cloud technologies. The role is growing like wildfire, but it's still evolving and will no doubt continue evolving as the AI landscape changes. What Is Retrieval Augmented Generation (RAG)? Have you ever wondered why some AI systems can feel limited, giving answers that seem a bit generic or off-target? Well that's because they're limited to the knowledge in their training data. And that's a lot of data. But it's not everything. It doesn't include private data, nor does it include recent data that has been created since the model was trained. Retrieval-Augmented Generation, or RAG, addresses this by supplementing AI models with that private or new information. Instead of relying only on what it was trained on, RAG retrieves up-to-date, relevant information from a database or document. Here's how it works: the system first finds the most relevant pieces of information for a given question (retrieval). Then, it uses a language model to generate a response based on that information (generation). That's why it's called retrieval-augmented generation! The result is an AI that combines the best of both worlds: real-time access to external knowledge and the ability to express it clearly. Let's do an example. Picture this: You're browsing a clothing store's website, looking for a specific jacket in your size and favorite color, but you're not sure if it's in stock. Instead of clicking through endless filters, a chatbot powered by RAG can make this effortless. When you ask, "Do you have the blue jacket in a medium size?" the RAG system retrieves real-time inventory data from the store's database. It finds the exact details, like availability in nearby stores or estimated delivery dates - information that would not be in the AI model's training data. And then it uses that information to generate a useful response: "Yes, we have it in stock! You can pick it up at our downtown location or have it delivered by Friday." This kind of dynamic, accurate interaction makes shopping easier and faster, ensuring you get the answers you need without the hassle. RAG is increasingly used in AI applications like chatbots, research tools, and data analysis systems, where accuracy and context are essential. It's a practical way to make AI more reliable and useful in complex scenarios. Why This RAG Course? Well, because it's the best, most up-to-date, and practical AI Engineering Bootcamp course online that teaches you real-world RAG skills and that lets you get hands-on so that you can actually use your skills in the real-world. But of course we're biased. So here's a breakdown of what's covered in this RAG Bootcamp course so that you can make up your own mind 1. Basics of Retrieval Systems: This section lays the foundation for understanding how to search and retrieve information from large datasets. You will learn how to prepare text data for retrieval, explore different retrieval models (Boolean, vector space, probabilistic), and understand the concepts of indexing, querying, and ranking. The goal is to equip you with the skills to efficiently find relevant information within massive datasets. 2. Basics of Generation Models: Building on the retrieval concepts, this section introduces the principles of text generation using AI. You will learn about the transformer architecture, which has revolutionised natural language processing, and how attention mechanisms within transformers allow models to focus on the most relevant parts of the input. You will also gain an understanding of data preparation and training techniques for these models. 3. Introduction to RAG: This section introduces the core concepts of Retrieval-Augmented Generation, explaining how it combines the strengths of retrieval and generation models to create more accurate, contextually relevant, and comprehensive responses. You will learn about the basic RAG architecture and understand why it is becoming increasingly important in various AI applications. 4. Working With The OpenAI API: This section focuses on teaching you how to use OpenAI's API for accessing and utilizing their powerful AI models, particularly for text generation and image processing. You will learn about obtaining API keys, setting up your environment, crafting effective prompts, tuning parameters, and understanding the system prompt's influence on the AI's behaviour. 5. RAG with OpenAI Implementation: This section brings together everything you have learned so far to teach you how to build fully functional RAG systems using OpenAI models. You will integrate retrieval and generation components, explore advanced RAG concepts like multi-modal RAG, and use the OpenAI API to create intelligent systems capable of handling complex tasks. 6. Working with Unstructured Data: This section delves into the challenges and techniques for working with unstructured data, which constitutes a vast majority of real-world information. You will learn how to process and extract information from various formats like PDFs, Word documents, PowerPoint presentations, EPUBs, images, and Excel data. This section equips you with the tools to unlock the value hidden within unstructured data. 7. Multimodal RAG: Building on your understanding of RAG, this section introduces the concept of multi-modal RAG, which extends the capabilities of RAG to handle data from multiple modalities, such as text and images. You will learn how to build systems that can integrate different data types to generate richer and more contextually relevant responses. 8. Agentic RAG: This section introduces the concept of agentic RAG, focusing on building AI agents that can interact with users, handle tasks, and make decisions autonomously. The course covers agent state management, workflows, and integrating retrieval and generation into agentic systems. This section represents the cutting edge of RAG development and explores how AI agents can dynamically respond to user requests and complete complex tasks. 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Free Download Mastering AI Agents Bootcamp - Build Smart Chatbots & Tools Published: 2/2025 Created by: Vivian Aranha MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 27 Lectures ( 2h 25m ) | Size: 930 MB Build AI agents, automation bots, chat assistants, task managers, and smart workflows using local AI models-no APIs req What you'll learn Build AI-powered agents for task automation, chatbots, and intelligent assistants, enhancing workflow efficiency without relying on external APIs. Develop AI models that understand, process, and generate human-like responses, enabling interactive and dynamic conversation systems. Implement AI-driven automation bots that perform repetitive tasks, manage schedules, and optimize workflows without manual intervention. Utilize local vector databases like FAISS to store, retrieve, and process knowledge for AI assistants, eliminating reliance on cloud-based APIs. Integrate speech-to-text and text-to-speech capabilities into AI agents, enabling hands-free interaction for enhanced accessibility. Design AI chatbots with long-term memory using local storage, allowing intelligent agents to retain context across multiple conversations. Develop web-based AI assistants with Streamlit, providing interactive user interfaces for real-time AI-powered automation and assistance. Create AI-powered document readers that extract, summarize, and answer questions from PDFs without requiring cloud-based AI services. Build AI-driven personal finance trackers that analyze expenses, provide budgeting advice, and generate financial insights locally. Enhance AI models with prompt engineering techniques, enabling better responses, improved task execution, and more personalized interactions. Requirements No prior AI experience needed! Basic Python programming knowledge is helpful but not required, as fundamental coding concepts will be covered along the way. A computer (Windows, macOS, or Linux) with internet access to install required tools, run AI models locally, and develop interactive AI-powered applications. Familiarity with command-line tools like Terminal or Command Prompt is useful but not mandatory, as step-by-step guidance will be provided for all setups. Basic understanding of logic, problem-solving, and structured thinking will help in designing AI workflows and automating tasks efficiently. Some exposure to machine learning concepts is beneficial but not required; AI fundamentals and practical applications will be introduced progressively. A willingness to experiment, debug, and iterate on AI projects to gain hands-on experience in building, testing, and refining intelligent automation tools. Patience and curiosity to explore AI technologies, learn prompt engineering techniques, and build functional AI agents with real-world use cases. An open mindset to adopt AI-driven solutions, automate daily tasks, and improve efficiency using AI-powered assistants and automation bots. Basic knowledge of JSON, text processing, or web scraping is useful but not necessary; all relevant concepts will be explained with hands-on projects. No expensive software or cloud services needed! All AI agents and automation bots will be built using open-source tools and local execution methods. Description Artificial intelligence is transforming the way we work, automate tasks, and interact with technology. This course is designed to help learners build AI-powered agents, automation bots, chat assistants, and task management systems using open-source tools without relying on external APIs or cloud-based services. Whether you are a beginner exploring artificial intelligence or a developer looking to integrate AI into real-world applications, this course provides a hands-on approach to building AI-driven automation solutions.Throughout this course, learners will gain practical experience in developing intelligent assistants that can process text, respond to user queries, automate repetitive tasks, and manage workflows efficiently. The focus will be on implementing AI-powered chatbots, smart task managers, document readers, web scrapers, and personal productivity assistants. By leveraging local AI models, vector databases, and natural language processing techniques, students will learn how to create AI solutions that function entirely on their machines without any reliance on cloud APIs.The course starts with an introduction to AI agents, covering the fundamental concepts of natural language processing, automation workflows, and task execution. Learners will build chatbots capable of carrying on meaningful conversations while maintaining memory of past interactions. By integrating AI models with local vector databases such as FAISS, students will store and retrieve information efficiently, allowing their AI agents to answer complex queries based on stored knowledge. As the course progresses, students will develop AI-powered task automation bots capable of scheduling, organizing, and prioritizing tasks using machine intelligence.One of the key aspects of this course is building AI-driven document readers that extract, summarize, and provide answers from PDF files. Learners will implement an AI system that processes and retrieves relevant information, enabling intelligent document search and Q&A functionalities. Additionally, students will create an AI-powered web scraper that extracts text from websites, summarizes content, and stores valuable insights in a searchable vector database for later use. These AI automation techniques can be applied in various domains, including research, business intelligence, and content generation.As learners progress through the course, they will work on projects that integrate AI into daily productivity tools. They will develop personal AI assistants that help with scheduling, reminders, and workflow management. The course also covers AI-powered task prioritization, where students will train models to analyze deadlines and assign importance to different activities. By the end of the course, students will have a strong understanding of how to build AI agents capable of automating complex tasks, enhancing productivity, and managing data-driven workflows.This course is designed for software developers, data analysts, AI enthusiasts, and anyone interested in building AI automation solutions. No prior experience in artificial intelligence is required, as all concepts are introduced progressively with step-by-step implementations. Learners will gain hands-on experience with AI tools, machine learning models, and automation frameworks, making this course ideal for those who want to integrate AI into real-world applications. All projects are built using open-source software and executed locally, ensuring privacy, security, and full control over AI-driven automation systems.By the end of this course, students will have the knowledge and practical skills to create AI-powered chatbots, automation bots, document readers, web scrapers, and intelligent personal assistants. They will be equipped to develop AI solutions that streamline workflows, enhance productivity, and automate repetitive tasks efficiently. This course provides a solid foundation in AI-driven automation and equips learners with the ability to design, build, and deploy AI agents for various use cases. Who this course is for Beginners and tech enthusiasts who want to explore AI and build intelligent assistants without prior experience in machine learning or programming. Software developers and engineers looking to integrate AI-powered automation into applications, optimize workflows, and build custom AI assistants. Entrepreneurs and business owners who want to leverage AI automation for customer service, task management, and business efficiency. Freelancers and professionals seeking to enhance their productivity by developing AI-driven task automation bots and personal assistants. Data analysts and researchers interested in using AI to automate data extraction, analysis, and summarization for better insights. Students and learners passionate about artificial intelligence, eager to gain hands-on experience building AI agents and automation tools. Content creators and marketers looking to automate content generation, social media management, and audience engagement using AI. AI hobbyists and innovators who enjoy experimenting with open-source AI tools to develop custom assistants and automation systems. Anyone curious about AI and automation who wants to learn practical applications without relying on complex APIs or cloud services. Developers transitioning into AI and automation, seeking hands-on experience with building smart AI agents using local execution methods. Homepage: https://www.udemy.com/course/mastering-ai-agents-bootcamp-build-smart-chatbots-tools/ TakeFile https://takefile.link/7ittii9v46hv/ducea.Mastering.AI.Agents.Bootcamp...Build.Smart.Chatbots..Tools.rar.html Rapidgator https://rg.to/file/5270c845d33b67bfbea2c1d09b721509/ducea.Mastering.AI.Agents.Bootcamp...Build.Smart.Chatbots..Tools.rar.html Fikper Free Download https://fikper.com/ZZhRO7Kuyp/ducea.Mastering.AI.Agents.Bootcamp...Build.Smart.Chatbots..Tools.rar.html : No Password - Links are Interchangeable

Free Download The Complete SQL Bootcamp From Beginner to Expert 2025 Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 2m | Size: 1.65 GB Become an SQL Expert - Master Databases & Queries! What you'll learn Understanding Database and CRUD The Database Management system (DBMS) and types of Databases Relational Database Management system SQL Server Installation and creating Database & Tables Inserting Data to a Table, also updating Rows AND deleting a table SQL Statement Fundamentals Understanding WHERE Statement AND Arithmetic operators in SQL Server Understanding Concatenation in SQL (Numbers) How to Combine Strings in SQL Server - Concatenation Logical operators - AND and OR Operators in SQL Server Understanding BETWEEN & IN Operators in SQL Understanding LIKE Operator in SQL Knowing ORDER BY Statement and FUNCTIONS in SQL Understanding GROUP BY Clause and String Functions in SQL Using the Date Functions in SQL Server Working with and practicing the UNION and UNION ALL operators Practical examples and usage of INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN in SQL Requirements No prior technical experience is required! All you need is a computer! No prior SQL or database experience needed (beginner-friendly)! SQL Server & SSMS installation (covered in the course)! Interest in data and databases! The course is FULLY CAPTIONED to improve learning experience Description Are you ready to unlock the power of databases and SQL? This comprehensive course is designed to take you from the fundamentals of database management to advanced SQL techniques. Whether you're a beginner or looking to enhance your SQL skills, this course provides hands-on experience with real-world examples.What You'll Learn:Database Fundamentals: Understand the core concepts of databases, CRUD operations, and Database Management Systems (DBMS).Types of Databases & RDBMS: Explore different database types and learn about Relational Database Management Systems (RDBMS).SQL Server Setup: Step-by-step guidance on installing SQL Server and setting up your first database.Working with Data: Learn how to create databases, design tables, insert, update, and delete records.SQL Query Fundamentals: Master the essential SQL statements, including SELECT, WHERE, ORDER BY, and arithmetic operations.String & Logical Operations: Understand concatenation, logical operators (AND, OR), and advanced filtering techniques (LIKE, BETWEEN, IN).Functions & Aggregations: Work with built-in SQL functions, including string manipulation, date functions, and GROUP BY operations.Advanced SQL Joins: Master INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN to combine data from multiple tables efficiently.UNION & UNION ALL: Learn how to merge datasets while maintaining efficiency and accuracy.etc.Why Take This Course?Hands-on SQL exercises and real-world database scenariosBeginner-friendly with a step-by-step approachCovers both theoretical concepts and practical applicationsEssential for database administrators, web developers, data analysts, and software engineersThis course is Fully captioned for better learning experience.By the end of this course, you'll have a strong foundation in SQL and be able to efficiently manage and query databases with confidence. Join now and take your database skills to the next level! Who this course is for Beginners looking to start a career in database management or software development. Web developers who want to integrate databases into their applications. Data analysts and business professionals who need to query and analyze data. IT professionals seeking to enhance their database and SQL skills. No programming background? No problem! This course is structured to guide you from the basics to mastering SQL confidently. Homepage: https://www.udemy.com/course/the-complete-sql-bootcamp-from-beginner-to-expert/ Rapidgator https://rg.to/file/8e03b196f029f094f4ec313efc55ec48/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part1.rar.html https://rg.to/file/695a8a832e28b61c69f60a1073a7027c/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part2.rar.html Fikper Free Download https://fikper.com/lL94K1y99D/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part1.rar.html https://fikper.com/rXuXqtOqs5/lfprn.The.Complete.SQL.Bootcamp.From.Beginner.to.Expert.2025.part2.rar.html : No Password - Links are Interchangeable

Free Download Python Data Visualization: Matplotlib Bootcamp A-Z [2025] Published: 2/2025 Created by: Dr. Reza Shahin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 93 Lectures ( 7h 2m ) | Size: 3.8 GB Master Matplotlib to plot figures for data analytics & business intelligence + 50 exercises[2025] (Bootcamp) What you'll learn Create clear, customized line plots with different styles. Design scatter plots with size, color, and marker variations. Build bar charts, including stacked and grouped formats. Develop histograms with custom bins and density curves. Construct pie charts with exploded slices and rotation. Generate heatmaps for analyzing correlations. Implement box plots to display distributions. Create 3D plots, including scatter and line visualizations. Analyze time series data with moving averages. Enhance plot aesthetics with annotations and transparency. Requirements No Requirements are needed, we teach you EVERYTHING even basics of Python Description Data visualization is an essential skill in today's data-driven world. Whether you are a data scientist, engineer, researcher, or analyst, the ability to present data effectively can make a significant difference in your work. This comprehensive course will take you on a step-by-step journey through the fundamentals and advanced capabilities of Matplotlib, the most widely used Python library for plotting and visualization.With over 50 hands-on coding exercises, this course covers everything from basic line plots to advanced multi-dimensional visualizations, ensuring that you develop a strong practical understanding of how to create, customize, and enhance visual representations of data. You will learn to produce clear, professional, and insightful plots that can be used for presentations, reports, publications, and business analysis.What This Course Covers:* Python Fundamentals for Data VisualizationBefore diving into Matplotlib, we provide essential Python programming concepts to ensure all learners-beginners and experienced coders alike-can follow along with ease.* Mastering Line PlotsLearn how to create solid, dashed, and dotted line plots.Customize marker styles, colors, edge widths, and labels.Work with multiple line plots and adjust line thickness, transparency, and styling.* Advanced Scatter Plot TechniquesMaster scatter plots with various marker sizes, colors, and annotations.Explore randomized scatter plots and use color bars for added data insights.Learn how to handle large datasets efficiently and highlight important data points.* Bar Charts & Histograms for Data AnalysisDevelop vertical, horizontal, grouped, and stacked bar charts.Enhance bar charts with error bars, text annotations, and logarithmic scaling.Construct custom histograms, modify bin sizes, and overlay density plots for better data interpretation.* Pie Charts & Donut ChartsCreate professional pie charts with rotation, exploded slices, and multi-chart figures.Learn how to optimize pie chart readability for presentations and reports.* Advanced Plotting with Box Plots, Heatmaps, and 3D VisualizationsImplement box plots with custom notches and mean markers to analyze distributions.Generate heatmaps to visualize data correlations effectively.Explore 3D scatter plots and line plots to represent multi-dimensional data.* Time Series & Trend AnalysisLearn how to plot time series data, detect trends, peaks, and moving averages.Apply visualization techniques to business, finance, and scientific research data.Why This Course is Unique?* Practical and Hands-On Approach: With over 50+ interactive coding exercises, you will develop real-world visualization skills rather than just theoretical knowledge.* Beginner to Advanced Coverage: Whether you are a beginner looking to build a foundation or a professional aiming to master advanced Matplotlib techniques, this course caters to all levels.* Comprehensive Customization Techniques: Learn color mapping, annotation, transparency settings, font adjustments, and multi-chart layouts to make your plots publication-ready.* Who Can Benefit?Students seeking to build their programming and data visualization skills.Data analysts, engineers, and business professionals looking to enhance their reporting abilities.Researchers needing scientific-quality figures for journals and conference papers.Anyone who wants to transform raw data into meaningful visual insights.By the end of this course, you will confidently create, customize, and optimize visualizations, making your data more insightful, compelling, and easy to interpret. 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Free Download Udemy - 45-Day Raspberry Pi Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 14.82 GB | Duration: 26h 34m Learn Raspberry Pi from Setup to Project Deployment: Programming, Electronics, and Practical Applications What you'll learn Set up and configure your Raspberry Pi for a variety of projects Code in Python to interact with hardware components Integrate sensors and modules to create interactive projects Build and troubleshoot real-world Raspberry Pi applications Understand networking basics and how to use your Raspberry Pi for IoT (Internet of Things) projects Requirements No prior programming or hardware experience is required! You'll need a Raspberry Pi (any model), a microSD card, and a power supply to follow along with the projects A willingness to experiment, tinker, and learn as you go! Description Unlock the full potential of the Raspberry Pi with our 45-Day Raspberry Pi Bootcamp, designed to take you from beginner to advanced in just six weeks. Whether you're a tech enthusiast, a hobbyist, or an aspiring engineer, this course offers 12 hours and 26 minutes of comprehensive video lessons that cover everything you need to know to become proficient with the Raspberry Pi.In this intensive bootcamp, you'll master the fundamentals of setting up your Raspberry Pi, installing essential software, and diving into programming with Python and Linux commands. You'll progress through hands-on projects like building a weather station, controlling LED lights, creating a home automation system, and even deploying your own web server. Each lesson includes step-by-step demonstrations and practical exercises to solidify your skills.Our instructors, part of the Educational Engineering Team, are seasoned professionals with years of experience in the tech and engineering fields. They've designed this bootcamp to be accessible for all levels, ensuring that even beginners without prior programming knowledge can keep up. By the end of the course, you'll have a portfolio of impressive projects and the confidence to create, troubleshoot, and expand your own Raspberry Pi projects.Enroll Now and take the first step towards Raspberry Pi mastery. Transform your ideas into reality with hands-on learning, expert guidance, and engaging content.Testimonials:"This course transformed my understanding of Raspberry Pi! From knowing nothing to building projects on my own in just a month!" - Sarah J."I loved the hands-on approach and practical applications. The instructors are knowledgeable and explain everything clearly." - Mike T."A must-take course for anyone wanting to delve into electronics and programming with Raspberry Pi. Highly recommend!" - Alex R.Call to ActionEnroll Now to kickstart your journey with Raspberry Pi! Start building and programming your own tech projects today.What You Will LearnRaspberry Pi Setup & Configuration: From unboxing to installing the OS and setting up Wi-Fi and SSH.Programming with Python: Write scripts, automate tasks, and interact with sensors and components.Linux Command Line Basics: Navigate and control your Raspberry Pi effectively.Hands-on Projects: Build and deploy real-world applications like home automation systems, web servers, and more.Troubleshooting & Debugging: Identify common issues and fix them efficiently.Who is This Course ForBeginners: Those new to programming, electronics, or Raspberry Pi, seeking a structured and supportive learning experience.Tech Enthusiasts: Hobbyists wanting to explore the possibilities of Raspberry Pi projects.STEM Educators and Students: Teachers and learners who want practical skills for educational settings or personal growth.Engineers and IT Professionals: Individuals interested in enhancing their tech toolkit for work or personal projects.RequirementsA Raspberry Pi Kit: (Raspberry Pi 4 recommended) including a power supply, microSD card, and other basic peripherals.Basic PC Knowledge: Familiarity with computer usage; no programming experience required.Internet Access: For software installation and updates.Willingness to Learn: Dedication to complete projects and follow instructions is key. Overview Section 1: Day 1-2 Getting Started with Raspberry Pi Lecture 1 Introduction to Raspberry Pi Section 2: Day 3-5 Raspberry Pi Step By Step: Your Complete Guide Lecture 2 Introduction and What you will get when you join Lecture 3 Quick Intro To Raspberry Pi World Lecture 4 10 Uses for Raspberry Pi Board Lecture 5 Different Versions of Raspberry Pi Lecture 6 Raspberry Pi Components Lecture 7 OS Versions Available for Raspberry Pi Lecture 8 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 9 Course Material Works with any high tech board! Lecture 10 What do you need to Run the Raspberry Pi Lecture 11 Getting OS and Running Raspberry Pi Lecture 12 Setting Up Raspberry Pi for the First Time Lecture 13 Simulating Raspberry Pi Lecture 14 Simple Starter Kit Lecture 15 Raspberry Pi Modeb B Unboxing Lecture 16 A tour inside Raspberry Pi Operating System Lecture 17 Raspberry Pi Command Line Lecture 18 Updating Software Packages Lecture 19 Control Raspberry Pi from another Device using SSH Lecture 20 Control Raspberry Pi from another Device using VNC Server Lecture 21 Assign A fix IP Address for Raspberry Pi Board Lecture 22 Connecting Raspberry Pi to another computer using Network Cable Lecture 23 Programming GPIO with Python Lecture 24 Python and Your First Code Lecture 25 Installing the Control Library Lecture 26 Example 1 Blinking Led Lecture 27 Example Two Reading Input Values From A Switch Lecture 28 Example Three Running the Led Using LDR Lecture 29 Example Four PIR Motion Detector Lecture 30 BCM Numbering instead of Numbering by Order Lecture 31 Adafruit Protection Box and Connection Cable Lecture 32 The End Lecture 33 Who We Are Section 3: Day 6-7 Mastering Python Programming with Raspberry Pi Lecture 34 Introduction Lecture 35 Why Python Lecture 36 Download and Install Python Lecture 37 Hello World and Help Function Lecture 38 Variables and basic data types in Python Lecture 39 Commenting your code Lecture 40 Reading keyboard input Lecture 41 Exercise - Build a program to say Hello Lecture 42 Exercise Build a simple calculator app Lecture 43 Conditional Statement Lecture 44 Loops For Loop Lecture 45 Loops While Loop Lecture 46 Exercise User Name and Password Section 4: Day 8-10 I2C Communication between Arduino and Raspberry Pi Lecture 47 Introduction Lecture 48 Hardware and Software Requirements Lecture 49 Download and Install Arduino Pro IDE Lecture 50 Download and Install Windows 10 IoT Core on SD Card Lecture 51 Download and Install Visual Studio for Coding Lecture 52 Windows Device Portal Walkthrough Lecture 53 I2C Overview Lecture 54 Arduino Wire Library Lecture 55 I2C Circuit Connection Lecture 56 Arduino Coding Lecture 57 Windows IoT User Interface Lecture 58 Windows IoT C Backend Coding Lecture 59 Practical Connection Lecture 60 Practical Testing Lecture 61 Introduction Lecture 62 Where to use i2c communication Lecture 63 I2C Pins in Arduino Lecture 64 Arduino Wire Library I2C Functions Lecture 65 Arduino to Arduino I2C Communication Circuit Design Lecture 66 Arduino to Arduino I2C Communication coding Lecture 67 Arduino to DS1307 Time and Date Module Circuit Design Section 5: Day 11-12 Arduino Interfacing with Sensors in Your Smartphone Lecture 68 Introduction Lecture 69 Hardware and Software Requirements Lecture 70 Download and Install MIT App Inventor Lecture 71 Download and Install Arduino Pro IDE Lecture 72 What is App Inventor Lecture 73 MIT App Inventor User Interface Explained Lecture 74 Make your first Mobile App - Blink LED Lecture 75 Code your Arduino - Blink LED Lecture 76 Proximity Sensor Mobile App Lecture 77 Light Sensor Lecture 78 Practical Testing Lecture 79 Accelerometer Sensor Lecture 80 Coding Accelerometer Sensor Lecture 81 Gyroscope Sensor Mobile App and Arduino Code Lecture 82 Magnetometer Sensor Mobile App and Arduino Code Lecture 83 What can you do and system requirements Lecture 84 What is app inventor in More Details Lecture 85 Java Vs App Inventor Lecture 86 Why using App Inventor Lecture 87 App Architecture Lecture 88 Lets start Making Apps Lecture 89 First App Add Items and Start Programming with Blocks Lecture 90 First App Testing and Running the App using Emulator Lecture 91 First App Testing and Running with USB or APK File Lecture 92 Resources you need to visit to Create Better Apps Lecture 93 How to Create a website for your app for free and take credit for it Lecture 94 App Inventor Overview Lecture 95 An App Challenge Lecture 96 System Requirements Lecture 97 App Inventor Vs Java and C Lecture 98 Why App Inventor Works Lecture 99 App Architecture Lecture 100 Download and Install App Inventor on Your Device Lecture 101 App Inventor User Interface with Example Lecture 102 Arduino Coding for Led on Off Practical Example Lecture 103 Making an Android App for Led On Off Practical Example Lecture 104 Testing On Off App with Arduino Lecture 105 Make a Log In Protected Led Control App Lecture 106 Slider Application to Control Led Brightness Lecture 107 Slider Practical Lecture 108 Practical Connect Bluetooth Module Lecture 109 RGB Led Controller Android Application Lecture 110 RGB LED Arduino Coding Lecture 111 Sensor Readings Arduino Coding Lecture 112 Sensor Readings Android Application Lecture 113 Relay On Off Simple Example Lecture 114 LCD Text Arduino Coding Lecture 115 LCD Text Android Application Lecture 116 Remote Controlled Robot Android Application Lecture 117 Remote Controlled Robot Arduino Coding Lecture 118 Make Money with MIT App Inventor Apps Lecture 119 How to read analog sensors using Arduino Lecture 120 Software Requirements Lecture 121 Wiring Analog Sensors to Arduino Lecture 122 Writing code to collect reading from analog sensors Lecture 123 Practical Analog Sensor Testing Lecture 124 Analyze and convert Sensor Reading Lecture 125 Manipulating Sensors Reading Lecture 126 ADC in Arduino Explained Section 6: Day 13-15 Make a Smart Mirror Using Raspberry Pi Lecture 127 Introduction Lecture 128 Download Raspian Operating System for Raspberry Pi Lecture 129 Install Raspbian Operating System on the SD Card Lecture 130 Starting Raspian and Getting the Code and Libraries Lecture 131 Downloading and Installing pip Lecture 132 Installing Dependencies Lecture 133 Getting API Token for Weather Lecture 134 Adding the API Token and Running the Application Lecture 135 Before Practical Assembly Lecture 136 Practical Assembly Section 7: Day 16-19 ESP32 + Arduino Interfacing: A Step by Step Course Lecture 137 Introduction Lecture 138 Hardware and Software Requirements Lecture 139 What is MQTT and why we need it Lecture 140 Create mqtt server account Lecture 141 What is ESP32 Lecture 142 ESP 32 Pinout v1 DOIT Lecture 143 ESP8266 Download and Install Arduino ESP and USB Driver Lecture 144 ESP32 v1 Download and Install Arduino Development environment Lecture 145 Arduino Coding Lecture 146 ESP Coding Part1 Define Variables Lecture 147 ESP Coding Part2 Wifi and MQTT Lecture 148 ESP Coding Part3 Read Incoming Data from Arduino Lecture 149 Upload Code to Arduino and Test it Lecture 150 Edit Code and Upload it to ESP32 then Test it Lecture 151 Final ESP32 Testing Lecture 152 Circuit Connection Explained Section 8: Day 20 Raspberry Pi Mid Certification 1 Mastery: Test Your Skills Section 9: Day 21-22 Obstacle Avoiding Robot with Raspberry Pi Lecture 153 Introduction Lecture 154 Required Material Lecture 155 Raspberry Pi and Ultrasonic Sensor Lecture 156 IR Sensor and Motor Driver Lecture 157 Voltage Regulator and DC Motors Lecture 158 Circuit Diagram Lecture 159 Code Lecture 160 The End Section 10: Day 23-24 Home Automation Using Raspberry Pi and Windows 10 IoT Lecture 161 Introduction & Getting Started Lecture 162 Hardware and Software Requirements Lecture 163 Smart Home Rooms Setup Lecture 164 Devices and Rooms addressing Mechanism Lecture 165 Download and Install Fritzing Software Lecture 166 Circuit Schematic Part1 Lecture 167 Circuit Schematic Part2 Lecture 168 How to wire home appliances with Relay Module Lecture 169 How a Relay Module Works Lecture 170 Software and Communication Protocol Lecture 171 Software and Communication Protocol Example Lecture 172 Download and Install Arduino IDE Lecture 173 Arduino Coding Part1 Lecture 174 Arduino Coding Part2 Lecture 175 Arduino Coding Part3 Lecture 176 Download and Install Visual Studio for Coding Lecture 177 Download and Install Windows 10 IoT Core on SD Card Lecture 178 Windows Device Portal Walkthrough Lecture 179 Prepare Environment for Your First Code Lecture 180 Classes Diagram Lecture 181 User Interface Structure Explained Lecture 182 User Interface - Main Dashboard Part1 Lecture 183 User Interface - Main Dashboard Part2 Lecture 184 Practical Circuit Connection Lecture 185 Practical Testing Lecture 186 Hardware and Software Requirements Lecture 187 Download and Install Arduino Pro IDE Lecture 188 Download and Install Windows 10 IoT Core on SD Card Lecture 189 Windows Device Portal Walkthrough Lecture 190 Download and Install Visual Studio for Coding Lecture 191 I2C Overview Lecture 192 Arduino Wire Library Lecture 193 I2C Circuit Connection Lecture 194 Arduino Coding Lecture 195 Windows IoT User Interface Lecture 196 Windows IoT C Backend Coding Lecture 197 Practical Connection Lecture 198 Practical Testing Lecture 199 Where to use i2c communication Lecture 200 I2C Pins in Arduino Lecture 201 Arduino Wire Library I2C Functions Lecture 202 Arduino to Arduino I2C Communication Circuit Design Lecture 203 Arduino to Arduino I2C Communication coding Lecture 204 Arduino to DS1307 Time and Date Module Circuit Design Section 11: Day 26-36 Raspberry Pi Based SCADA System Lecture 205 Introduction Lecture 206 Introduction to SCADA Lecture 207 Functions and Alarms Lecture 208 Hardware and Software Requirements Lecture 209 Download and Install Arduino IDE Lecture 210 Arduino Board Lecture 211 Circuit Connection Lecture 212 Coding Lecture 213 Testing First Board Lecture 214 Important Concepts Lecture 215 Raspberry Pi Python Coding Lecture 216 Create SCADA Web Interface Lecture 217 Download and Install Raspian OS on Your Raspberry Pi Board Lecture 218 Enable SSH and Update Raspian Lecture 219 Final Practical Implementation Lecture 220 Quick Intro To Raspberry Pi World Lecture 221 10 Uses for Raspberry Pi Board Lecture 222 Different Versions of Raspberry Pi Lecture 223 Raspberry Pi Components Lecture 224 OS Versions Available for Raspberry Pi Lecture 225 Arduino Vs Raspberry Pi Vs BeagleBone Lecture 226 Course Material Works with any high-tech board! Lecture 227 What do you need to RunThe Raspberry Pi Lecture 228 Getting OS and Running Raspberry Pi Lecture 229 Setting Up Raspberry Pi for the First Time Lecture 230 Simulating Raspberry Pi Lecture 231 A Tour inside Raspberry Pi Operating System Lecture 232 Raspberry Pi Command Line Lecture 233 Updating Software Packages Lecture 234 Control Raspberry Pi Board From another device Lecture 235 Control Raspberry Pi from another Device using VNC Server Lecture 236 Assign A fix IP Address for Raspberry Pi Board Lecture 237 Connecting Raspberry Pi to another computer using Network Cable Lecture 238 Programming GPIO with Python Lecture 239 Python and Your First Code Lecture 240 Installing the Control Library Lecture 241 Example 1 Blinking Led Lecture 242 Example Two Reading Input Values From A Switch Lecture 243 Example Three Running the Led Using LDR Lecture 244 Example Four PIR Motion Detector Section 12: Day 37-38 Final Project Lecture 245 Final Course Project Section 13: Day 40-42 Raspberry Pi Final Certification Mastery: Test Your Skills Section 14: Day 43-45 What is next - Text Lecture Lecture 246 45-Day Raspberry Pi Bootcamp: What's Next? 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Free Download The Complete Sql Bootcamp A Step-By-Step Approach Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 660.91 MB | Duration: 2h 45m Master SQL What you'll learn Generate reports and address business challenges Write Complex Queries Using Common Table Expressions (CTEs) Lean about GROUP by clause Master SQL Joins and Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Master SQL for Data Analytics and Business Intelligence Master SQL for Data Migration and Data Manipulation Create Database Objects Requirements No SQL experience is required, and you will learn all that you need. Description Brief Introduction:The Complete SQL Bootcamp is a hands-on course designed to take you from the basics to a professional level. This comprehensive course will explore the principles of relational databases and the robust SQL programming language. It will equip developers with vital SQL skills to write queries for single and multiple tables, manipulate data within those tables, and create database objects.Course Overview:This step-by-step SQL course is designed to improve your SQL skills and is ideal for students who want to become proficient in SQL. Led by an experienced SQL Developer Instructor, this course offers a well-organized and engaging learning experience for those who want to master SQL.Learning Objectives:By the end of the course, you will learn how to:Retrieve Data using basic SQL SELECT StatementsRestrict and Sort DataUse Aggregate FunctionsApply Conditional ExpressionsGenerate Reports with Aggregated Data Using Group FunctionsDisplay Data from Multiple Tables Using JoinsUtilize Window FunctionsWork with Common Table Expressions (CTEs) using the WITH clauseManage Data using Subqueries and Advanced QueriesManage Tables using DML StatementsCreate Sequences, Synonyms, Indexes, Views, and Schema ObjectsWho is this course for?This course is designed for learners at all levels, from beginners looking for a solid foundation to SQL professionals striving for mastery. No prior knowledge is necessary. It is suitable for users of any database, including Oracle, MySQL, Microsoft SQL Server, Amazon Redshift, and MySQL. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Database Server Lecture 3 Installing PostgreSQL on Windows Lecture 4 Installing PostgreSQL on MacOS Lecture 5 Entity Relationship Model Lecture 6 Data Modelling and Design Lecture 7 pgAdmin Introduction Section 2: Basic Select Statement Lecture 8 Basic Select Statement Lecture 9 Literal(character, String) Lecture 10 Literal(constant) Lecture 11 Non-numeric Literals Lecture 12 Numeric Literals Lecture 13 Arithmetic Expression Operators Lecture 14 Mathematical Operator Precedence Lecture 15 Using aliases Lecture 16 Escape character sequence Lecture 17 Concatenation Operator Lecture 18 Comments Within SQL Statements code Section 3: Data Types Lecture 19 Data Types Lecture 20 Cast Function(CAST()) and cast operator(::) Lecture 21 Numeric Data Types Lecture 22 Character Data Types Lecture 23 Date Time Data Types Lecture 24 Boolean Data Type Section 4: Selecting from a table Lecture 25 SELECTING columns or expressions FROM a table Lecture 26 Selecting All Columns Lecture 27 Selecting Specific Columns or Expressions Lecture 28 Using Column Aliases Lecture 29 Eliminating duplicate rows Lecture 30 SELECT from a generated (VALUES Lists) Section 5: WHERE clause and ORDER BY clause Lecture 31 Using WHERE Clause Lecture 32 Comparison Operators Lecture 33 Match any Range search condition([NOT] BETWEEN ) Lecture 34 Match any of a list of values ([NOT] IN ) Lecture 35 Pattern match search condition ([NOT] LIKE ) Lecture 36 Using ( IS[NOT] NULL ) Conditions Lecture 37 Using the AND Operator Lecture 38 Using the OR Operator Lecture 39 Rules of Precedence(Order of operation ) Lecture 40 ORDER BY clause Lecture 41 OFFSET Lecture 42 FETCH Lecture 43 LIMIT Lecture 44 OFFSET and FETCH Lecture 45 OFFSET and LIMIT Section 6: Functions and Operators Lecture 46 Functions and Operators Lecture 47 String functions and Operators (String Concatenation) Lecture 48 String functions(Case Conversion) Lecture 49 Show part of a string(LEFT,RIGHT, SUBSTR) Lecture 50 Remove from a String(TRIM,LTRIM,RTRIM) Lecture 51 Add and Replace characters in a String(LPAD, RPAD, REPLACE) Lecture 52 Length of string(LENGTH) Lecture 53 Using MODULUS Function Lecture 54 Using CEILING and FLOOR Function Lecture 55 Using ROUND and TRUNCATE Function Lecture 56 (Date , Time Functions) Section 7: Regular Expression Lecture 57 Introduction Lecture 58 POSIX Regular Expressions Lecture 59 Regular Expression Atoms Lecture 60 Literal Characters Lecture 61 Dot : . Lecture 62 Regular Expression Constraints (also called Anchors): ^, $ Lecture 63 Regular Expression Quantifiers: { } Lecture 64 Bracket Expressions (Character classes):[ ] Lecture 65 Escaping characters: \ Lecture 66 Groups(Parentheses): ( ) Lecture 67 Alternatives: Lecture 68 REGEXP_COUNT Lecture 69 REGEXP_INSTR Lecture 70 REGEXP_LIKE Lecture 71 REGEXP_REPLACE Lecture 72 REGEXP_SUBSTR Section 8: Conditional Expressions Lecture 73 Conditional Expressions Lecture 74 CASE Statement Lecture 75 NULLIF Lecture 76 COALESCE Lecture 77 LEAST and GREATEST Section 9: GROUP BY and HAVING Clauses Lecture 78 Aggregate Functions Lecture 79 Using Aggregate Functions on the entire column data set Lecture 80 Using Aggregate Functions with WHERE clause Lecture 81 COUNT Aggregate Function Lecture 82 Handling Null values in Aggregate Functions Lecture 83 GROUP BY Clause Lecture 84 GROUP BY Clause(Grouping by Multiple Columns) Lecture 85 HAVING Clause (Filter Groups using Aggregated column) Section 10: Generating Reports with (CUBE, ROLLUP, GROUPING SET) Lecture 86 Generating Reports by Grouping Related Data_ Lecture 87 ROLLUP Lecture 88 CUBE Lecture 89 GROUPING Lecture 90 GROUPING SETS Section 11: Joins Lecture 91 Joining Multiple Tables Lecture 92 Table aliases Lecture 93 Types of JOINS Lecture 94 INNER JOIN(ON clause, USING clause) Lecture 95 LEFT OUTER JOIN(ON clause) Lecture 96 RIGHT OUTER JOIN(ON clause) Lecture 97 FULL OUTER JOIN(ON clause) Lecture 98 CROSS JOIN Section 12: Window Functions (RANK, DENSE_RANK, ROW_NUMBER) Lecture 99 Windowing Lecture 100 Windowing calculations(aggregate function) Lecture 101 Window Functions Lecture 102 Window Function OVER(ORDER BY order_list ) clause Lecture 103 Window Function OVER(PARTITION BY ORDER BY ) clause Lecture 104 Window Function OVER() without "window_definition" Lecture 105 Window Function OVER(PARTITION BY ) clause Lecture 106 WINDOW clause Section 13: Common Table Expressions (WITH Clause) Lecture 107 Using WITH Clause( split complicated queries into smaller parts) Lecture 108 Purpose and Benefits of the WITH Clause Lecture 109 Multiple Common Table Expressions (CTEs) Section 14: Subqueries Lecture 110 SUBQUERY Lecture 111 Scalar subquery Lecture 112 Row subquery Lecture 113 Subquery Expressions Lecture 114 Multi-Row Subquery (IN, SOME/ANY, ALL) Lecture 115 Multi-Row Subquery ([NOT] IN) Lecture 116 Multi-Row Subquery ( ANY/SOME) Lecture 117 Table subquery(Inline View) Lecture 118 Multi-Row Subquery ( ALL) Lecture 119 Correlated Subquery Lecture 120[NOT] EXISTS Subquery Expressions Section 15: Set Operators(UNION, INTERSECT, EXCEPT) Lecture 121 Introduction Lecture 122 UNION[ ALL] Lecture 123 INTERSECT[ ALL ] Lecture 124 EXCEPT Section 16: Data Definition(Table) Lecture 125 Data definition language (DDL) Lecture 126 CREATE DATABASE Lecture 127 CREATE TABLE Lecture 128 CREATE TABLE with AS keyword Lecture 129 ALTER TABLE (ADD Column) Lecture 130 ALTER TABLE(DROP COLUMN) Lecture 131 ALTER ADD (Primary key ) Lecture 132 ALTER TABLE(ADD foreign key) Lecture 133 RENAME TABLE Lecture 134 RENAME Column Lecture 135 RENAME Constraint Lecture 136 Comment on a TABLE Lecture 137 ALTER TABLE(DROP COLUMN) Lecture 138 Remove TABLE comment Lecture 139 RENAME Column Lecture 140 TRUNCATE Lecture 141 DROP Section 17: Constraints Lecture 142 Check Constraint (column constraint, explicit constraint name ) Lecture 143 Check Constraint (column constraint, implicit constraint name ) Lecture 144 Check Constraint (table constraint, implicit constraint name ) Lecture 145 Check Constraint (table constraint, implicit constraint name ) Lecture 146 Not-Null Constraints (column constraint explicit) Lecture 147 Unique Constraints (column constraint, explicit constraint name ) Lecture 148 Unique Constraints (column constraint, implicit constraint name ) Lecture 149 Unique Constraints (table constraint, explicit constraint name ) Lecture 150 Unique Constraints (table constraint, implicit constraint name ) Lecture 151 Primary Keys (column constraint, implicit constraint name ) Lecture 152 Primary Keys (table constraint, implicit constraint name ) Lecture 153 Foreign Keys (table constraint, explicit constraint name ) Lecture 154 Foreign Keys (table constraint, implicit constraint name ) Lecture 155 Default (column constraint only ) Lecture 156 Clean-up Section 18: Data Manipulation Lecture 157 Data manipulation language (DML) Lecture 158 SELECT Lecture 159 INSERT Lecture 160 Basic INSERT using literal, expression, and DEFAULT method 1(column name Lecture 161 Basic INSERT using literal, expression, and DEFAULT method 2(values) Lecture 162 INSERT using query Lecture 163 INSERT Lecture 164 UPDATE Lecture 165 UPDATE specific values Lecture 166 UPDATE all values in column Lecture 167 UPDATE multiple columns Lecture 168 DELETE Lecture 169 Delete all rows Lecture 170 MERGE Lecture 171 Delete specific rows Lecture 172 Clean-up Section 19: Transaction Control Lecture 173 Disable auto-commit in pgAdmin4 37 Lecture 174 COMMIT Lecture 175 ROLLBACK Lecture 176 SAVEPOINT Section 20: Data Definition(Sequences) Lecture 177 CREATE SEQUENCE Lecture 178 Sequence Functions Lecture 179 NEXTVAL Lecture 180 CURRVAL Lecture 181 ALTER Sequence Lecture 182 RENAME a Sequence Lecture 183 COMMENT on Sequence Lecture 184 DROP sequence Section 21: Data Definition(Views) Lecture 185 Create a View Lecture 186 SELECT from a View Lecture 187 (OR REPLACE) keyword Lecture 188 ALTER VIEW Lecture 189 RENAME a View Lecture 190 COMMENT Lecture 191 Drop a View Lecture 192 Cleanup Section 22: Data Definition(Users, Roles) and Privileges Lecture 193 CREATE USER Lecture 194 CREATE ROLE Lecture 195 Data Control Language (DCL) Lecture 196 GRANT specific privileges to a role Lecture 197 GRANT ALL PRIVILEGES to a role Lecture 198 GRANT specific privileges to a user Lecture 199 GRANT(add members on the existing role) Lecture 200 REVOKE specific privileges from a role Lecture 201 REVOKE ALL PRIVILEGES from a role Lecture 202 REVOKE (remove members on the existing role) Lecture 203 DROP USERS Lecture 204 DROP ROLES) Managers,Data Analytics and Business Intelligence,Data Scientists and Data Engineers,Data Migrations Specialist,Other Database Users Homepage https://www.udemy.com/course/the-complete-sql-bootcamp-a-step-by-step-approach/ Rapidgator https://rg.to/file/05694aa171bc8b12a235297d803e0a0a/ehpwf.The.Complete.Sql.Bootcamp.A.StepByStep.Approach.rar.html Fikper Free Download https://fikper.com/VdSowZuobe/ehpwf.The.Complete.Sql.Bootcamp.A.StepByStep.Approach.rar.html No Password - Links are Interchangeable