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Free Download Univariate analysis using R programming Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 18m | Size: 2.32 GB Calculate summary statistics of different data types, present them as tables, and create many plots from data. What you'll learn Install R and Rstudio Calculate summary statistics for numerical and categorical data using R Convert the results to readable tables using R Plot numerical data as histograms and box plots using R Plot categorical data as bar plots and tree maps using R Apply the above concepts on freely available datasets Requirements No programming language experience is needed. You will learn R and data analysis from scratch. Description Install R and R studio.Use R studio to explore data and present the results as tables with captions.Use R studio for calculating summary statistics for the location of numerical data (mean, median, and percentiles).Learn how to use the mean and median to deduce the data distribution.Use R studio for calculating summary statistics for the spread of numerical data (range, variance, standard deviation, and interquartile range). Learn how to interpret the measures of spread to identify your risk.Learn how to present the results of summary statistics as tables with captions.Use R studio for plotting histograms of numerical data. Learn how to interpret the data histogram to deduce the data distribution.Use R studio for plotting box plots of numerical data. Learn how to interpret the data box plot to deduce the data distribution and the different quantiles.Use R studio for calculating summary statistics of categorical data (count, proportion, and percentage).Use R studio for plotting bar plots of categorical data.Use R studio for plotting tree maps of categorical data.Learn how to use the bar plots and tree map to identify the most and least frequent categories.Learn how to customize the plots to produce different versions of the plot for the same data.Learn how to export the created plots to PDF or image or copy them to your clipboard to be included in your reports. Who this course is for Laymen persons who want to understand statistics and data analysis Students or fresh graduates who want to learn R and data analysis Academic professionals who want to learn statistics to understand the statistical part of published papers Homepage https://www.udemy.com/course/univariate-analysis-using-r-programming/ Screenshot Rapidgator https://rg.to/file/309cd2c8d5c14b1f84c70bd22923f531/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://rg.to/file/771cb8faee1829021547733e1a8d9e9f/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://rg.to/file/fac9de7db98fdb05349e84caff496db5/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html Fikper Free Download https://fikper.com/SldCHQmlXH/lvqwm.Univariate.analysis.using.R.programming.part1.rar.html https://fikper.com/nN7NlgL6nA/lvqwm.Univariate.analysis.using.R.programming.part2.rar.html https://fikper.com/uv4JqNVKS7/lvqwm.Univariate.analysis.using.R.programming.part3.rar.html No Password - Links are Interchangeable

Free Download The V Programming Language by Yelsin Sadiq Published 10/2024 Created by Yelsin Sadiq MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 93 Lectures ( 12h 29m ) | Size: 4.9 GB Introduction to the V programming language, covering its syntax and features extensively What you'll learn Writing efficient V programs Packaging and Deploying V Applications Creating a simple CLI application in V Building A Simple Web Application in V Requirements No Programming Experience Required Description This course provides a comprehensive introduction to the V programming language, covering its syntax, features, and practical applications. By the end of the course, learners will be able to build simple applications in V, understand its principles, and leverage its capabilities in software development.V is a simple, fast, and safe programming language developed as an alternative to C. This course will guide you through the fundamentals of V and help you become proficient in writing efficient and readable code.V is a relatively new programming language, so there isn't a long historical or philosophical tradition surrounding it specifically. However, I can provide an introduction to some key aspects of V's history and design philosophy:V was created by Alexander Medvednikov in 2019It was designed to be a simple, fast, and safe alternative to CEarly development focused on creating a self-hosted compiler written in V itselfThe first stable release (v0.1) was in December 2019Development has been open source on GitHub since the beginningDesign PhilosophyV was created with several core design principles in mind: Simplicity and ReadabilityThe syntax is designed to be clean and easy to readThere is only one way to do things, reducing cognitive overheadTarget Audience: Beginner to intermediate programmers Software developers looking to explore new languages Anyone interested in learning a modern, efficient programming language Who this course is for Beginner to intermediate programmers Software developers looking to explore new languages Anyone interested in learning a modern, efficient programming language Anyone willing to learn the V programming language Homepage https://www.udemy.com/course/the-v-programming-language/ Screenshot Rapidgator https://rg.to/file/0987b5b90d62ad7963b53f0d806799ec/sulbe.The.V.Programming.Language.part6.rar.html https://rg.to/file/8314a597615ec9476ff91b92d532ae65/sulbe.The.V.Programming.Language.part4.rar.html https://rg.to/file/b58dd4158662c26f091b790f912b47ff/sulbe.The.V.Programming.Language.part1.rar.html https://rg.to/file/c055e791e1eccdefa3d337fd00e60b07/sulbe.The.V.Programming.Language.part3.rar.html https://rg.to/file/d6d785043d695e84ea22d15879f53660/sulbe.The.V.Programming.Language.part5.rar.html https://rg.to/file/e8d3159e5db87809b7821cd8d2ffbe32/sulbe.The.V.Programming.Language.part2.rar.html Fikper Free Download https://fikper.com/3rma2s2aWp/sulbe.The.V.Programming.Language.part4.rar.html https://fikper.com/FTXVlWDjpO/sulbe.The.V.Programming.Language.part6.rar.html https://fikper.com/KU7dvXx7nB/sulbe.The.V.Programming.Language.part3.rar.html https://fikper.com/Lxe8dIhKvj/sulbe.The.V.Programming.Language.part2.rar.html https://fikper.com/Pv9ilSK1LL/sulbe.The.V.Programming.Language.part5.rar.html https://fikper.com/bRDSe7bbMr/sulbe.The.V.Programming.Language.part1.rar.html No Password - Links are Interchangeable

Free Download T-SQL Programming and Scripting For SQL DBA and Developer Published 10/2024 Created by Rajesh J MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 60 Lectures ( 16h 55m ) | Size: 9.8 GB Built Your SQL Server T-SQL Programming and Scripting Skills: Master Essential Database Programming Techniques What you'll learn: T-SQL Programming TSQL and Scripting Learn to work with unstructured data in SQL Server using various techniques Gain insider tips for quickly resolving SQL Server development issues Requirements: Basic knowledge of the SQL Server fundamentals Description: Welcome to the course for "T-SQL Programming and Scripting For SQL DBA and Developer". In this course you will get in depth knowledge from Basic to Advance of T-SQL Programming and Scripting. You are going to learn how to developed and start writing the T-SQL Programing which will going to use in SQL Server. Basically this course has been divided in to multiple of session which include the Basic and advance coding. Even you will find the other additional session, Which will be the subcategory of the main course. For Sub-category you have to go through each module of the video. After completing the Each video session you will able to download the Script do the practice by your self. I am going to discuss each and every Scripts which has beet attached. I will be frequently uploading the video and you will get life time access to this curse. For doubt clarification I will provide all details at the end of this course so you can connect with me.This course has been designed in such a way that any one having the basic knowledge of SQL Server can easy learn and develop the T-SQL Programming and scripting for SQL Server. This Course is going to help for SQL DBA and SQL Server Developer. Who this course is for: Learn T-SQL Scripting and Programming and fulfill their own dream as SQL Developer Create views, procedures , triggers and etc Homepage https://www.udemy.com/course/t-sql-programming-and-scripting-for-sql-dba-and-developer/ Rapidgator https://rg.to/file/08227778a0320950901a26f6bdb1591e/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part05.rar.html https://rg.to/file/257442d3fde8e19d24766dcb393bfc03/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part09.rar.html https://rg.to/file/26242aff5a3739f205857f5e67445d21/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part04.rar.html https://rg.to/file/2b3cba7d41c48b9005f8a8c7f00c0753/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part07.rar.html https://rg.to/file/34285debe71fc50ab027ab2cfda2c29d/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part10.rar.html https://rg.to/file/45fdd0e39e5579383e981405b913bc48/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part02.rar.html https://rg.to/file/46031a25b9a69e22a0a1b1851d5f77ae/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part06.rar.html https://rg.to/file/58eb3177451a8635fe70f441684d1a79/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part01.rar.html https://rg.to/file/93af11dd07d1002396a13c0e0af80ee6/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part08.rar.html https://rg.to/file/b1318e0ea6a38f766ab67db8c41412fa/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part03.rar.html https://rg.to/file/f1a12e3f32bea34f0b5cdde7ba4159b0/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part11.rar.html Fikper Free Download https://fikper.com/2tLigyrUub/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part09.rar.html https://fikper.com/IYCf6fRj3V/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part11.rar.html https://fikper.com/Myd2JG7nsv/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part10.rar.html https://fikper.com/TIOOjISfuA/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part08.rar.html https://fikper.com/jQ3SiXvi1n/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part02.rar.html https://fikper.com/mW2TiIMyVL/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part03.rar.html https://fikper.com/ncOTYJKefW/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part07.rar.html https://fikper.com/svrxpSAOn2/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part05.rar.html https://fikper.com/ufrYerb52V/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part01.rar.html https://fikper.com/uhFiX1ghSZ/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part04.rar.html https://fikper.com/xH5UrKh5zc/pimbh.TSQL.Programming.and.Scripting.For.SQL.DBA.and.Developer.part06.rar.html No Password - Links are Interchangeable

Free Download Stochastic Programming - Mastering Algorithmic Innovation Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 26m | Size: 614 MB Master stochastic algorithms, chaos theory, and AI to develop adaptive solutions for real-world challenges. What you'll learn Understand the core principles of stochastic programming and its advantages over deterministic methods Implement stochastic algorithms such as Monte Carlo simulations, genetic algorithms, simulated annealing, and chaos-based optimization in Python. Develop and train stochastic neural networks for adaptive learning and decision-making in dynamic environments. Explore quantum-inspired algorithms, reinforcement learning, and chaos theory to optimize systems and predict outcomes under uncertainty. Use probabilistic programming for scenarios like disease diagnosis, financial forecasting, and network traffic management. Apply stochastic principles to practical problems like resource allocation, energy management, and production planning. Build self-evolving software systems that adapt autonomously based on stochastic inputs. Hands-on coding exercises that bring stochastic concepts to life with real-world applications. Explore advanced techniques in stochastic neural networks, quantum-inspired algorithms, and chaos theory. Real-world applications in AI, machine learning, cloud computing, and financial predictions. Build self-modifying systems that automatically adapt to new data and conditions. Practical examples in resource management, energy optimization, and market forecasting. Requirements Basic Programming Knowledge: Familiarity with basic programming concepts such as loops, functions, and variables is recommended, but not required. Familiarity with Python: Prior experience with Python will be helpful, but the course will provide necessary guidance for those new to the language. Interest in Algorithms and Problem-Solving: A desire to explore innovative approaches for solving complex problems through stochastic and probabilistic methods. A Computer with Internet Access: You will need a computer to complete coding exercises and access course materials online. Description In today's world, uncertainty presents a constant challenge for businesses, technologies, and everyday systems. Traditional methods, which rely on fixed, deterministic approaches, often fail to provide the flexibility required in dynamic, real-world environments. This course introduces you to stochastic programming, a revolutionary way of handling randomness and probability to develop adaptive, robust algorithms that excel where conventional methods fall short.You will explore stochastic algorithms, chaos theory, and probabilistic programming while learning how to apply them to high-impact fields such as machine learning, artificial intelligence (AI), data science, and cloud systems. Through hands-on exercises, you will gain the tools and techniques needed to solve complex, real-world problems with innovative, resilient solutions.By diving deep into Monte Carlo simulations, genetic algorithms, and adaptive neural networks, you will build solutions that thrive in uncertain environments. By the end of the course, you'll have mastered the tools to create flexible, scalable, and "alive" AI systems, ready to tackle the complexities of the digital age. Key Takeaways:Master stochastic programming: Understand the core principles and why they outperform deterministic approaches in uncertain scenarios.Develop adaptive neural networks: Learn how to build neural networks that adjust to evolving conditions and make real-time decisions.Apply stochastic algorithms: Use Monte Carlo simulations, genetic algorithms, and chaos theory in practical applications such as AI, cloud computing, and financial modeling.Harness chaos theory: Leverage chaos theory for optimizing complex systems and solving unpredictable, real-world problems.Create self-evolving systems: Build software systems that autonomously adapt to new data and conditions, continuously learning and improving.Practical Application: Apply stochastic algorithms challenges such as optimizing resource management, predicting market trends, neuron networks, AI agents, games or pictures, web or apps and improve performance under uncertainty.Why Stochastic Programming?In the fast-paced, unpredictable world of AI and machine learning, traditional methods often fall short. Stochastic programming is the answer, providing flexible, adaptive solutions to handle complexity and uncertainty. Whether optimizing resource allocation, predicting market trends, or building adaptive AI systems, this course equips you with the skills to stay ahead.By mastering stochastic programming, you will gain the ability to design algorithms that adapt to uncertainty in real-world systems. Whether you're optimizing energy consumption, managing resources in cloud computing, or predicting financial market trends, you'll be equipped to create solutions that dynamically respond to ever-changing environments.A new era of creativity and logic is at your fingertips! Join us and transform your approach to algorithm design, mastering the skills to lead in the ever-evolving fields of AI, machine learning, cloud computing and more! Who this course is for Software developers eager to enhance their expertise with advanced stochastic techniques. Data scientists and engineers interested in innovative solutions for machine learning and AI. Entrepreneurs and business strategists seeking data-driven, probabilistic approaches to decision-making. Students and professionals aiming to explore future-forward programming in unpredictable environments. Homepage https://www.udemy.com/course/stochastic-programming-mastering-algorithmic-innovation/ Screenshot Rapidgator https://rg.to/file/0e28073a6bd4ed182203daad190652b7/nphjs.Stochastic.Programming.Mastering.Algorithmic.Innovation.rar.html Fikper Free Download https://fikper.com/LXSPkNphez/nphjs.Stochastic.Programming.Mastering.Algorithmic.Innovation.rar.html No Password - Links are Interchangeable

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

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

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

Free Download Python BeautifulSoup Programming with Coding Exercises Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 44m | Size: 304 MB Master Web Scraping and Data Extraction with BeautifulSoup Through Practical Coding Challenges What you'll learn How to use BeautifulSoup to extract data from HTML and XML documents. Techniques for navigating and parsing complex HTML structures. Methods for cleaning and organizing scraped data for analysis. Practical experience in scraping data from various websites and handling dynamic content. Requirements Basic knowledge of Python programming. Familiarity with HTML and XML concepts is helpful but not required. Description Welcome to Python BeautifulSoup Programming with Coding Exercises, a hands-on course designed to teach you the art of web scraping using the BeautifulSoup library. BeautifulSoup is a powerful Python tool that allows you to extract data from HTML and XML documents, making it invaluable for data collection, analysis, and automation.In an increasingly data-driven world, the ability to scrape and process web data is a crucial skill. Whether you're looking to gather data for research, automate data collection tasks, or build data-driven applications, understanding how to effectively use BeautifulSoup is essential. This course is tailored to equip you with the practical skills needed to harness the full potential of web scraping.Throughout this course, you'll dive into the core concepts and techniques of BeautifulSoup, complemented by coding exercises designed to solidify your understanding. The course covers:An introduction to web scraping and BeautifulSoup, including its role in data extraction and parsing.Basics of HTML and XML structure to better understand how to navigate and extract data.Techniques for finding and extracting information from HTML documents using BeautifulSoup.How to handle and process complex data structures, including nested tags and attributes.Methods for cleaning and organizing scraped data for further analysis or use.Practical exercises on scraping data from various websites, including handling dynamic content and form submissions.Strategies for respecting website terms of service and ethical considerations in web scraping.By the end of the course, you will have a strong grasp of web scraping fundamentals and practical experience with BeautifulSoup, empowering you to efficiently gather and analyze data from the web.Instructor Introduction: Your instructor, Faisal Zamir, brings over 7 years of experience in teaching Python and web scraping techniques. As an accomplished Python developer and educator, Faisal provides a clear and engaging approach to learning BeautifulSoup, ensuring you gain both theoretical knowledge and practical skills.Certificate at the End of Course: Upon successful completion of the course, you will receive a certificate that validates your skills in web scraping with BeautifulSoup, adding value to your professional credentials. Who this course is for Data enthusiasts and analysts looking to automate data collection from the web. Python developers interested in learning web scraping techniques. Individuals aiming to build skills in data extraction and processing for research or projects. Homepage https://www.udemy.com/course/python-beautifulsoup-programming-with-coding-exercises/ Screenshot Rapidgator https://rg.to/file/8b8a8b7ac4d63fa2212adfe7c234ba36/byrog.Python.BeautifulSoup.Programming.with.Coding.Exercises.rar.html Fikper Free Download https://fikper.com/DCNFcGv5pC/byrog.Python.BeautifulSoup.Programming.with.Coding.Exercises.rar.html No Password - Links are Interchangeable

Free Download Programming Generative AI By Jonathan Dinu Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18h 16m | Size: 4.1 GB From variational autoencoders to Stable Diffusion with PyTorch and Hugging Face. Overview Programming Generative AI is a hands-on tour of deep generative modeling, taking you from building simple feedforward neural networks in PyTorch all the way to working with large multimodal models capable of simultaneously understanding text and images. Along the way, you will learn how to train your own generative models from scratch to create an infinity of images, generate text with large language models similar to the ones that power applications like ChatGPT, write your own text-to-image pipeline to understand how prompt- based generative models actually work, and personalize large pretrained models like stable diffusion to generate images of novel subjects in unique visual styles (among other things). About the Instructor Jonathan Dinu is currently a content creator and artist working with deep learning and generative AI. Previously, he was a PhD student at Carnegie Mellon University before dropping out to ultimately pursue the less academic and more creative side of machine learning. He has always loved creating educational content, going back to his days as a co-founder of Zipfian Academy, an immersive data science bootcamp, where he had the opportunity to run workshops at major conferences like O'Reilly Strata and PyData, create video courses, and teach in person. Skill Level Intermediate to advanced Learn How To Train a variational autoencoder with PyTorch to learn a compressed latent space of images Generate and edit realistic human faces with unconditional diffusion models and SDEdit Use large language models such as GPT2 to generate text with Hugging Face Transformers Perform text-based semantic image search using multimodal models such as CLIP Program your own text-to-image pipeline to understand how prompt-based generative models such as Stable Diffusion actually work Properly evaluate generative models, both qualitatively and quantitatively Automatically caption images using pretrained foundation models Generate images in a specific visual style by efficiently fine-tuning Stable Diffusion with LoRA. Create personalized AI avatars by teaching pretrained diffusion models new subjects and concepts with Dreambooth. Guide the structure and composition of generated images using depth- and edge- conditioned ControlNets Perform near real-time inference with SDXL Turbo for frame-based video-to-video translation Who Should Take This Course Engineers and developers interested in building generative AI systems and applications Data scientists interested in working with state-of-the-art deep learning models Students, researchers, and academics looking for an applied or hands-on resource to complement theoretical or conceptual knowledge they may have. Technical artists and creative coders who want to augment their creative practice Anyone interested in working with generative AI who does not know where or how to start Course Requirements Comfortable programming in Python Knowledge of machine learning basics Familiarity with deep learning and neural networks will be helpful but is not required Screenshot Rapidgator https://rg.to/file/260b7280a370c6c6afce5c7a99f16d74/kytpc.Programming.Generative.AI.part3.rar.html https://rg.to/file/9313352974bf2d8e4ee43e7296dbafb0/kytpc.Programming.Generative.AI.part1.rar.html https://rg.to/file/a3b5f765137b7bc2d906749aa1502f37/kytpc.Programming.Generative.AI.part5.rar.html https://rg.to/file/bd798c19bac821e68b01e161b8c8f6c7/kytpc.Programming.Generative.AI.part4.rar.html https://rg.to/file/cf367796d57e822f35fa70d3c5d0018f/kytpc.Programming.Generative.AI.part2.rar.html Fikper Free Download https://fikper.com/AHZdEHzf8k/kytpc.Programming.Generative.AI.part1.rar.html https://fikper.com/EqPCue6MoO/kytpc.Programming.Generative.AI.part4.rar.html https://fikper.com/QXeZBidYwf/kytpc.Programming.Generative.AI.part5.rar.html https://fikper.com/kWMwq8KUlo/kytpc.Programming.Generative.AI.part3.rar.html https://fikper.com/mGYPSAeU9K/kytpc.Programming.Generative.AI.part2.rar.html No Password - Links are Interchangeable

Free Download Master The Rust Programming Language - Beginner To Advanced Last updated 10/2024 Duration: 23h18m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 9.63 GB Genre: eLearning | Language: English Learn Rust(Latest Edition) programming step by step with hands-on exercises, from basics to advanced levels. What you'll learn Fundamental concepts of Rust programming language Ownership and borrowing rules References String and String slice Rust's package manager and build system (Cargo) Structures and Enums Unit testing in Rust Lifetimes Error Handling Pattern matching Loops and decison making More is yet to come ( Generics, traits, trait objects, smart pointers, closures, iterators and more) Requirements No Prior Programming knowledge is required. Microsoft visual studio code installed Description println!("### Our new Rust course, designed for beginners, covers ###"); println!("### % fundamental to advanced topics % ###"); println!("### to build a strong foundation. ###"); Update #5 and #6 Iterators: Trait 'Iterator', Trait 'IntoIterator', Creating custom iterator Implementing Trait 'IntoIterator' on a custom type Update #4 Traits: trait objects, virtual table, boxing DST, memory layout Closures: as struct member fields, memory layout Update #3 Closures: introduction, syntax Closures capturing environment, traits associated with closures(Fn, FnMut, FnOnce) Passing closures as function arguments Update #2 Traits: introduction, methods Associated types of a trait Implementing custom Display trait Trait bounds Update #1 Generics: syntax, functions, structs, enums Lifetimes: scope, annotations, elision rules Lifetime annotations: structs, methods Const. and static variables Do you want to learn a new programming language? How about The Rust Programming Language ? Rust is becoming increasingly popular in system-level programming due to its memory safety and performance. It stands as a strong competitor to C++ and is perfect for those looking to elevate their system-level programming skills. Whether you are a beginner or an experienced programmer, Rust offers a modern and powerful toolset for your development needs. Learning Rust opens doors to high-performance, safe, and reliable system-level programming 2023 Stack Overflow Developer Survey findings indicate that, "Rust is the most admired language, more than 80% of developers that use it want to use it again next year." "More respondents want to continue using Cargo (Rust's official package manager) next year than the top competitors." Why should you consider learning Rust? 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Setup and installation instructions are included for each platform. Your enthusiasm to learn this go-to programming language. It's a valuable lifetime skill which you can't un-learn! Everything else needed to start programming in Python is already included in the course. Description Whether you want to - build the skills you need to get your first Python programming job - move to a more senior software developer position - get started with Machine Learning, Data Science, Django or other hot areas that Python specialises in - or just learn Python to be able to create your own Python apps quickly. .then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast. This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. 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And if that's not enough take a read of some of the many reviews from happy students - there are around 100,000 students who have left around 19,000 reviews. This is one of the most popular courses on Python programming on Udemy. Here's just some of what you'll learn (It's okay if you don't understand all this yet, you will in the course) · All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you're coding and why - making programming easy to grasp and less frustrating · You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more. · Complete chapters on object-oriented programming and many other aspects of Python, including tKInter (for building GUI Interfaces) and using databases with Python. · Although this is primarily a Python 3 course, a python developer will need to work with Python 2 projects from time to time - We'll show the difference in both versions to make sure you understand how things work differently in each version. · How to develop powerful Python applications using one of the most powerful Integrated Development Environments on the market, IntelliJ IDEA! - Meaning you can code functional programs easier. 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Join an ACTIVE COMMUNITY of 16,000+ students that are already enrolled in this course! Over 1,800+ Reviews! You can DOWNLOAD all source code and PDFs. Perfect for offline LEARNING and REVIEW. Requirements A desire to learn the Java Programming Langauge. No prior experience is needed. You will learn Java from scratch. Description Learn how to code and become a Software Engineer using the Java Programming Language.Java is one of the most popular and hottest programming languages used today. Whether you're aiming to start a career in software development or enhance your current skills, mastering Java can open numerous doors for you in the tech industry.Knowing how to program in Java can get you a job or improve the one you have. Companies are constantly seeking skilled Java developers, and having expertise in Java is a highly valuable asset. 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You will learn how to write robust code, manage errors effectively, and work with files and data streams.---In this course, you will get:- Responsive Instructors: All questions answered within 24 hours- All source code is available for download- PDFs of all lectures are available for download- Professional video and audio recordings (check the free previews)---Compared to other Java coursesThis course is up to date and covers the latest features of Java.Beware of other Udemy Java courses. Many of them are outdated and use old versions of Java. Don't waste your time or money on learning outdated technology.Take my course where I show you how to develop applications in Java from scratch. You can type the code along with me in the videos, which is the best way to learn.I am a very responsive instructor and I am available to answer your questions and help you work through any problems.Finally, all source code is provided with the course along with setup instructions.Student Reviews Prove This Course's WorthThose who have reviewed my courses have pointed out that the instruction is clear and easy to follow, as well as thorough and highly informative.Many students had also taken other Java courses in the past, only to find that my courses were their favorite. They enjoyed the structure of the content and the high-quality audio/video.This is the best tutorial I've seen so far , each step is well explained and the tutorial videos are made to a high standard. I highly recommend this course! - RobHats off to you Chad, the best course I have done on Udemy thus far. You never disappoint. - MorebodiBy far the greatest asset this course has is how responsive Eric is to questions. This is how CBT training should be, and it was well worth the money and time. I was able to complete everything in the course and I now have an app! - GabrielOMG This course is amazing!!! So many awesome things to say. Apart from the course itself, I was also blown away at how quickly Eric responded to questions/issues and how promptly he was able to troubleshoot my code : ) - PaigeQuality MaterialYou will receive a quality course, with solid technical material and excellent audio and video production. I am a best-selling instructor on Udemy. Here's a list of my top courses.Spring Boot and Hibernate for BeginnersSpring Boot Unit Testing with JUnit, Mockito and MockMvcFull Stack: React and Java Spring BootFull Stack: Angular and Java Spring BootDeploy Java Spring Boot Apps Online to Amazon Cloud (AWS)These courses have received rave 5 star reviews and over 800,000 students have taken the courses. Also, these courses are the most popular courses in their respective categories.I also have an active YouTube channel where I post regular videos. In the past year, I've created over 800 video tutorials (public and private). My YouTube channel has over 6 million views and 40k subscribers. So I understand what works and what doesn't work for creating video tutorials.No Risk - Udemy RefundFinally, there is no risk. You can preview 25% of the course for free. Once you purchase the course, if for some reason you are not happy with the course, Udemy offers a 30-day refund (based on Udemy's Refund Policy).So you have nothing to lose, sign up for this course and learn how to become a professional Java Developer.It is time to level up your career and learn the skills needed to be a desired Java Developer.Target Audience• Anyone interested in learning Java programming• No prior programming experience required. I will teach you Java from the beginning. Who this course is for Beginner software developers wanting to learn Java. Self-taught programmers wanting to level up their Java programming knowledge. Individuals excited about building Java applications for personal or professional use. Individuals that want ONE course that covers everything you need to know about Java. 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Free Download Cuda Parallel Programming On Nvidia Gpus (Hw And Sw) Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 10.44 GB | Duration: 12h 54m Performance Optimization and Analysis for High-Performance Computing What you'll learn Comprehensive Understanding of GPU vs CPU Architecture learn the history of graphical processing unit (GPU) until the most recent products Understand the internal structure of GPU Understand the different types of memories and how they affect the performance Understand the most recent technologies in the GPU internal components Understand the basics of the CUDA programming on GPU Start programming GPU using both CUDA on Both windows and linux understand the most efficient ways for parallelization Profiling and Performance Tuning Leveraging Shared Memory Requirements C and C++ basics Linux and windows basics Computer Architecture basics Description This comprehensive course is designed for anyone looking to dive deep into CUDA programming and NVIDIA GPU architectures. Starting from the basics of GPU hardware, the course walks you through the evolution of NVIDIA's architectures, their key performance features, and the computational power of CUDA. With practical programming examples and step-by-step instruction, students will develop an in-depth understanding of GPU computing, CUDA programming, and performance optimization. Whether you're an experienced developer or new to parallel computing, this course provides the knowledge and skills necessary to harness the full potential of GPU programming.Here's a refined summary of what you will gain from this CUDA programming course:Comprehensive Understanding of GPU vs CPU Architecture: Students will learn the fundamental differences between GPUs and CPUs, gaining insight into how GPUs are designed for parallel processing tasks.Deep Dive into NVIDIA's GPU Architectures: The course covers the evolution of NVIDIA's GPU architectures, including Fermi, Pascal, Volta, Ampere, and Hopper, and teaches how to compare different generations based on key performance parameters.Hands-On CUDA Installation: Students will learn how to install CUDA across various operating systems, including Windows, Linux, and using WSL, while exploring the essential features that come with the CUDA toolkit.Introduction to CUDA Programming Concepts: Through practical examples, students will understand core CUDA programming principles, including thread and block management, and how to develop parallel applications like vector addition.Profiling and Performance Tuning: The course will guide students through using NVIDIA's powerful profiling tools like Nsight Compute and nvprof to measure GPU performance and optimize code by addressing issues like occupancy and latency hiding.Mastering 2D Indexing for Matrix Operations: Students will explore 2D indexing techniques for efficient matrix computations, learning to optimize memory access patterns and enhance performance.Performance Optimization Techniques: They will acquire skills to optimize GPU programs through real-world examples, including handling non-power-of-2 data sizes and fine-tuning operations for maximum efficiency.Leveraging Shared Memory: The course dives into how shared memory can boost CUDA application performance by improving data locality and minimizing global memory accesses.Understanding Warp Divergence: Students will learn about warp divergence and its impact on performance, along with strategies to minimize it and ensure smooth execution of parallel threads.Real-World Application of Profiling and Debugging: The course emphasizes practical use cases, where students will apply debugging techniques, error-checking APIs, and advanced profiling methods to fine-tune their CUDA programs for real-world applications.By the end of the course, students will be proficient in CUDA programming, profiling, and optimization, equipping them with the skills to develop high-performance GPU applications. Overview Section 1: Introduction to the Nvidia GPUs hardware Lecture 1 GPU vs CPU (very important) Lecture 2 NVidia's history (How Nvidia started dominating the GPU sector) Lecture 3 Architectures and Generations relationship[Hopper, Ampere, GeForce and Tesla] Lecture 4 How to know the Architecture and Generation Lecture 5 The difference between the GPU and the GPU Chip Lecture 6 The architectures and the corresponding chips Lecture 7 Nvidia GPU architectures From Fermi to hopper Lecture 8 Parameters required to compare between different Architectures Lecture 9 Half, single and double precision operations Lecture 10 Compute capability and utilizations of the GPUs Lecture 11 Before reading any whitepapers !! look at this Lecture 12 Volta+Ampere+Pascal+SIMD (Don't skip) Section 2: Installing Cuda and other programs Lecture 13 What features installed with the CUDA toolkit? Lecture 14 Installing CUDA on Windows Lecture 15 Installing WSL to use Linux on windows OS. Lecture 16 Installing Cuda toolkits on Linux Section 3: Introduction to CUDA programming Lecture 17 Mapping SW from CUDA to HW + introducing CUDA. Lecture 18 001 Hello World program (threads - Blocks) Lecture 19 Compiling Cuda on Linux Lecture 20 002 Hello World program ( Warp_IDs) Lecture 21 003 : Vector addition + the Steps for any CUDA project Lecture 22 004 : Vector addition + blocks and thread indexing + GPU performance Lecture 23 005 levels of parallelization - Vector addition with Extra-large vectors Section 4: Profiling Lecture 24 Query the device properties using the Runtime APIs Lecture 25 Nvidia-smi and its configurations (Linux User) Lecture 26 The GPU's Occupancy and Latency hiding Lecture 27 Allocated active blocks per SM (important) Lecture 28 Starting with the nsight compute (first issue) Lecture 29 All profiling tools from NVidia (Nsight systems - compute - nvprof ...) Lecture 30 Error checking APIs (look at chat GPU there is an example) Lecture 31 Nsight Compute performance using command line analysis Lecture 32 Graphical Nsight Compute (windows and linux) Section 5: Performance analysis for the previous applications Lecture 33 Performance analysis Lecture 34 Vector addition with a size not power of 2 !!! important Section 6: 2D Indexing Lecture 35 Matrices addition using 2D of blocks and threads Lecture 36 Why L1 Hit-rate is zero ? 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Free Download Coursera - Go Programming Language Specialization Released 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 207 Lessons ( 14h 54m ) | Size: 2 GB Harness the power of Go Programming Language to unlock its full potential for modern software development and become an expert in Go language. Develop practical applications, microservices, CLI tools, and more, and gain hands-on experience in solving complex problems with Golang. Skills you'll gain Reflection and Metaprogramming Real-time Problem-Solving Managing Goroutines and Channels Multithreading Cloud-Native Development Implement Design Patterns Golang Fundamentals Advanced Golang Concepts GIN Framework Our Golang specialization is suitable for individuals who are new to the field, as well as aspiring software developers, engineers, networking professionals, DevOps Engineers and computer science students who are seeking to enhance their abilities in Designing softwares, Programming Proficiency, Concurrency and Parallelism, Cloud-Native Development, Networking and Systems Programming, DevOps Practices through our carefully curated 4 courses. You will be able to design applications using Golang, work with multithreading, analyze threads, Implement goroutines and channels, design cloud native apps, analyse Reflection and Metaprogramming, Work with GIN framework, Implement design patterns, and perform various Problem-Solving Abilities using Golang. This specialization will provide you with the comprehensive skill set necessary for developing web based Golang applications. Elevate your knowledge with our specialized Golang program, a transformative learning experience designed to provide you with the necessary skills for efficient web development. Applied Learning Project Parti[beeep]nts will acquire proficiency in the skills and knowledge needed to excel in Golang development. Throughout the course, parti[beeep]nts will engage in a series of hands-on projects aimed at applying concepts learned in real-world scenarios, solidifying their understanding of Golang fundamentals to advanced concepts, concurrent programming, working on GIN framework and preparing them for success in various software development roles. The curriculum of the course will encompass a thorough exploration of techniques for web development, various concepts such as multithreading, profiling, concurrent programming, and cloud native applications . Each learner's ability to apply the knowledge acquired will be demonstrated through individual projects, which will serve as the culmination of their educational journey. Homepage https://www.coursera.org/specializations/go-programming-language Screenshot Rapidgator http://peeplink.in/d4dadf0ca774 Fikper Free Download https://fikper.com/DjbmEqu1pr/rwwrq.Coursera..Go.Programming.Language.Specialization.part3.rar.html https://fikper.com/J4GBD6oXfR/rwwrq.Coursera..Go.Programming.Language.Specialization.part1.rar.html https://fikper.com/Nhn2zZzNVI/rwwrq.Coursera..Go.Programming.Language.Specialization.part2.rar.html No Password - Links are Interchangeable

Free Download Complete Guide to C++ Programming Foundations (2024) Released 10/2024 With Eduardo Corpeño MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 7h 1m 39s | Size: 631 MB Build a strong foundation in C++ programming, exploring advanced features like object-oriented programming and the standard template library. Course details Discover the full potential of the C++ programming language with our Complete Guide to C++ Programming Foundations. Starting with the fundamentals and moving on to more advanced topics like the Standard Template Library, this course will equip you with the skills you need to succeed as a C++ developer. Through a series of detailed lecture videos and coding challenges, gain practical experience and learn how to write efficient, maintainable code. Whether you're looking to start a career in software development or simply expand your programming skills, this course is for you. Homepage https://www.linkedin.com/learning/complete-guide-to-c-plus-plus-programming-foundations Screenshot Rapidgator https://rg.to/file/da935a54d65a953055daee1e29063c18/qhzww.Complete.Guide.to.C.Programming.Foundations.2024.rar.html Fikper Free Download https://fikper.com/4a4NFRbTea/qhzww.Complete.Guide.to.C.Programming.Foundations.2024.rar.html No Password - Links are Interchangeable

Free Download Collaborative Ai Integrating Ai And Human Teams by Programming Hub Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.72 GB | Duration: 3h 7m Strategies for Integrating AI into Teams to Enhance Performance What you'll learn Apply the AIMS Model to integrate AI with human teams. Identify AI opportunities in various departmental workflows. Tackle challenges in AI adoption and enhance processes. Develop strategies to scale AI solutions organization-wide. Foster collaboration between AI tools and team members. Requirements Basic knowledge of team management and organizational workflows. Interest in leveraging AI technologies within business processes. No prior experience with AI require. Description In today's rapidly changing business environment, combining AI capabilities with human expertise is vital for staying ahead. This course introduces the AIMS Model-a practical framework, to effectively integrate AI into your teams and enhance business performance.What You'll Gain:Understanding of the AIMS Model: Learn how to assess current workflows and identify key AI opportunities that align with business goals.AI Integration Techniques: Discover practical methods to incorporate AI tools seamlessly into team processes, ensuring smooth transitions. Overcoming Adoption Challenges: Explore strategies to mitigate common challenges during AI implementation and foster team-wide acceptance.Scaling AI Solutions: Develop effective strategies to expand AI usage across departments, ensuring consistent results throughout the organization.Continuous Improvement: Understand techniques for maintaining long-term success through sustainable AI practices.Department-Specific Insights:Apply the AIMS Model to areas such as Tech, Product, Sales, Marketing, HR, Logistics, and Finance. Engage with real-world case studies to see successful AI adoption in action. Parti[beeep]te in hands-on exercises, including creating an AI-powered marketing strategy.Collaboration Techniques:Learn how to foster effective collaboration between AI tools and the team members, optimizing workflows by aligning AI capabilities with human expertise. Gain insights into achieving peak efficiency through teamwork, balancing automation, and human creativity. Overview Section 1: Overview Lecture 1 Course Overview Section 2: AIMS Model Lecture 2 Overview & Importance of the AIMS Model Lecture 3 Understanding & Implementing the AIMS Model Lecture 4 Best Practices: Where & When to Use the AIMS Model Lecture 5 Timing & Benefits of the AIMS Model in Tech Section 3: AIMS Model in Tech & Product Lecture 6 Collaborative AI for Tech Teams: The AIMS Model Lecture 7 Assess & Integrate: Optimizing Tech Workflows with AI Lecture 8 Mitigate, Scale & Sustain: Challenges & Ensuring Continuous Improvement Lecture 9 Collaborative AI for Product Teams: The AIMS Model Lecture 10 Assess & Integrate: Selecting AI Tools for Product Development Lecture 11 Scale & Sustain: Optimizing AI Integration & Future Planning Section 4: AIMS Model in Sales & Marketing Lecture 12 Improving Sales with AI Lecture 13 Assess & Integrate: Evaluating Sales Workflows & Selecting AI Tools Lecture 14 Mitigate & Optimize: Overcoming Integration Challenges & Enhancing Sales Process Lecture 15 Expanding AI Solutions & Cross-Functional Integration in Sales. Lecture 16 Sustain: Continuous Improvement of AI in Sales Strategies Lecture 17 Optimising Marketing with Collaborative AI Lecture 18 Assess & Integrate: Evaluating Marketing Workflows & AI Integration Lecture 19 Overcoming AI Challenges & Extending AI Across Marketing Channels Lecture 20 Continuous Improvement in AI-Powered Marketing & Copywriting Strategies Section 5: AIMS Model in HR, Logistics & Finance Lecture 21 Collaborative AI in HR Lecture 22 Assess - HR Workflow Analysis & AI Potential Lecture 23 Integrate - AI Tool Selection & HR Team Collaboration Lecture 24 Mitigate - AI Implementation Challenges & Optimization Lecture 25 Scale & Sustain - Expanding AI in HR & Continuous Growth Lecture 26 Collaborative AI in Finance Lecture 27 Assess - Financial Workflow Analysis & AI Potential Lecture 28 Integrate - AI Tool Selection & Finance Team Collaboration Lecture 29 Mitigate - AI Integration Challenges & Optimization Lecture 30 Scale & Sustain - Expanding AI in Finance & Continuous Growth Lecture 31 Collaborative AI in Logistics Lecture 32 Assess - Logistics Workflow Analysis & AI Potential Lecture 33 Integrate - AI Tool Selection & Logistics Team Collaboration Lecture 34 Mitigate - AI Integration Challenges & Optimization Lecture 35 Scale & Sustain - Expanding AI in Logistics & Continuous Growth Section 6: AIMS Model in Photoshop Lecture 36 Generative AI Section 7: Collaborative AI in a nutshell Lecture 37 Understanding Collaborative AI Lecture 38 Defining Collaborative AI & Its Core Components Lecture 39 Benefits & Importance of Collaborative AI for Leaders Lecture 40 Milestones in Collaborative AI Development Lecture 41 Integrating Collaborative AI with Human Teams Leaders and senior management aiming to integrate AI.,Managers and product managers enhancing team performance.,Business leaders focused on AI-human collaboration.,Professionals responsible for AI implementation in their organizations. 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Free Download C Programming Basic To Advanced With 200 Problem Solving Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 6.62 GB | Duration: 16h 52m C Programming Basic to advanced with 200 problem solving What you'll learn Understand the fundamentals of the C Programming Language C Programming Language Concepts & Usage 200 problem solving Make yourself more marketable for entry level programming positions Learn one of the most popular, widly used languages in the world Apply for real-time programming positions Understand the core language that most modern languages are based on Real world problem solving and real world projects Uderstanding a to z resource on c programming Using Input and Output function Basic concept to advanced data type, variable, operator, controls flow ,conditional operator unions FileI &O Arrays Structures Type casting Error Handling Recursion Memory Management Requirements This course for begineers to Advance so No need previous knowledge No programming Experience Must Have Laptop or Dekstop or Tablets Any Code Editor I prefer code block for c program code Description In this course, I made this course for mid-level students, this course is very important for all c programmer learners. What you will Learn from this course:Environment setupwrite codeBasic conceptData Type VariableConstant and LiteralsOperatorConditional OperatorLoopsFunctionScope of rulesArrayspointerstringStructureUnionsBit field and typedefInput and OutputFile input outputrecursionvariable and command argumentsmemory management200 problems solvingreal-world project using in c conclusionExtra InformationResource and Help GuideMaster In C programming concepts from this courseunderstand the special features of C:pointers, header files,null-terminated string, Buffers, IORead the supplies eBook, The Title Book Of C, to explore the topics in even more depthuse the resource code examples to learn step by stepvideos explain everything in minute detailstest your understanding with the end-of-section.Why you will Buy this course:huge resourceslong term planupdated this course per month200 problem solvinga real-world project update will be every monthsupport directly by me.facebook group and telegram group.support by live Advised from Me:follow this lecture step by stepdon't skip any videotry to practice more and morepractice with passion then you can successDon't never lose your hopeIn this course, I made this course for mid-level students, this course is very important for all c programmer learners. What you will Learn from this course:Environment setupwrite codeBasic conceptData Type VariableConstant and LiteralsOperatorConditional OperatorLoopsFunctionScope of rulesArrayspointerstringStructureUnionsBit field and typedefInput and OutputFile input outputrecursionvariable and command argumentsmemory management200 problems solvingreal-world project using in c conclusionExtra InformationResource and Help GuideMaster In C programming concepts from this courseunderstand the special features of C:pointers, header files, null-terminated strings, Buffers, IORead the supplies eBook, The Title Book Of C, to explore the topics in even more depthuse the resource code examples to learn step-by-stepvideos explain everything in minute detailstest your understanding of the end-of-section.Why you will Buy this course:huge resourceslong term planupdated this course per month200 problem solvinga real-world project update will be every monthsupport directly by me.facebook group and telegram group.support by live Advised from Me:follow this lecture step by stepdon't skip any videotry to practice more and morepractice with passion, then you can succeedDon't never lose hope Overview Section 1: Introduction introduction to c programming Lecture 1 Introduction Lecture 2 about course Lecture 3 Table of content Lecture 4 overview part 02 Section 2: Overview c programming intro video Lecture 5 Overview of this course Lecture 6 what is c program Lecture 7 overview 200 problem solving Section 3: Requirement Lecture 8 what is requirements for this course? Lecture 9 Who take this course? Section 4: Environment setup Lecture 10 Environment Setup Lecture 11 Local Environment Setup Lecture 12 environment setup locally part 2 Lecture 13 Software Requirement Section 5: First code explain A to Z Lecture 14 First code explain A to Z Lecture 15 write a code Lecture 16 Header File explaination Section 6: Basic Concept Lecture 17 06.Basic Concept Lecture 18 About facts in c Lecture 19 part 02 about fact in c Lecture 20 what is compiler Lecture 21 program expalin part 01 Lecture 22 programm explain part 02 Section 7: Basic Syntax Lecture 23 Basic Synatx in C program Section 8: Data types Lecture 24 what is data types? Lecture 25 data types part 2 Lecture 26 integer and floating data type explain part 3 Section 9: Variables Lecture 27 variable declaration Lecture 28 variable_declaration part 2 Lecture 29 lvalue and rvalues Section 10: Constants and Literals Lecture 30 What are constants and literals? Lecture 31 constant and literals Section 11: Operator Lecture 32 what is operator? Lecture 33 Logical Operator Lecture 34 symbol operator Lecture 35 Unary operator Lecture 36 aritmetic operator Lecture 37 conditional operator Lecture 38 bitwize and comma operator Section 12: Control Statements-Conditions Lecture 39 Operator Problem 2 Lecture 40 conditional statement Lecture 41 common mistakes Lecture 42 Example part if and else condition part 1 Lecture 43 Example part if and else condition part 2 Lecture 44 Example part switch case condition part 3 Section 13: Lab Assignment Lecture 45 Example or lab assignment part 44 Section 14: Loops in C Lecture 46 about loops Lecture 47 do while loop Lecture 48 lab exercise Section 15: for loop Lecture 49 foor__loops expalin Lecture 50 foor__loops expalin part 2 Lecture 51 factorial code explain using for loop Lecture 52 real problem solving Section 16: Jump Into New statement Lecture 53 statement Lecture 54 go to statement Lecture 55 continue statement part 1 Lecture 56 lab exercise part 3 Lecture 57 while loop practical part Lecture 58 fibbonacci serise part 1 Lecture 59 Lab Exercise part_3 Section 17: Functions in C Programm Lecture 60 function details Lecture 61 function details with defination Lecture 62 function with parameter argument Lecture 63 function withr argument without return value Lecture 64 recursion function Lecture 65 simple parameter passing function Section 18: Arrays Lecture 66 01.what is Array Lecture 67 02.what types of array Lecture 68 2-d array with matrix Lecture 69 transpose of matrix Lecture 70 03.Example Lecture 71 array declaration array Lecture 72 bubble sort code explain Lecture 73 Lab excersie 4 Lecture 74 lab execersie 5 Lecture 75 string of array Lecture 76 list of array Lecture 77 lab 06 Section 19: Pointer Lecture 78 what is pointer? Lecture 79 pointer expression Lecture 80 pointers to pointer Lecture 81 pointers to array Lecture 82 pointer to subtruct Lecture 83 pointer memory address and operator Lecture 84 null pointer Section 20: string in c program Lecture 85 what is string and explain Lecture 86 what is the reverse string Lecture 87 home task Lecture 88 practice part Lecture 89 call reference function Lecture 90 swapping call by value Section 21: Structure in C Program Lecture 91 structure home task Lecture 92 Data Scturcture to pointer Lecture 93 structure function Lecture 94 structure description Section 22: Union Lecture 95 union in c Section 23: BIT fields and Typedef Lecture 96 what is Bit Fields and it's declaration Lecture 97 what is Typedef and it's specification Lecture 98 varable and function Lecture 99 what is enumerated data type Lecture 100 enumerated data type Lecture 101 Lab 7 Section 24: Input and Outputs Lecture 102 whats is input and output it's explain Lecture 103 gets and inputs Lecture 104 Example Section 25: FILE I&O Lecture 105 basic handling of file Lecture 106 basic handling of file part 2 Section 26: Preprocessor Lecture 107 preprocessor Lecture 108 marco define lec 02 Lecture 109 marco define lec 03 Lecture 110 marco define lec 04 Section 27: Type Casting Lecture 111 type casting Lecture 112 unsual type conversation Section 28: Error Handling Lecture 113 error handling Lecture 114 error handling part 02 Section 29: Recursion Lecture 115 recursion part 01 Lecture 116 recursion part 02 Section 30: Variable & Commnd Arguments Lecture 117 variable and command arguments Lecture 118 command line part 02 Section 31: memory management Lecture 119 memory management part 02 Lecture 120 memory management part 02 Section 32: programming common errors Lecture 121 compare with string Lecture 122 string errors Lecture 123 error describe part 01 Lecture 124 error describe part 02 Lecture 125 fgets function error Lecture 126 gets()_f Lecture 127 leaving character input Lecture 128 null terminating string Lecture 129 terminator error Lecture 130 winmin error Section 33: storage Lecture 131 storage lec Section 34: algorithoms basic idea Lecture 132 algorithoms basic idea Section 35: 200 Problem Solving in c programming Lecture 133 introduction 200 problem solving Lecture 134 01.wap to sum two variables Lecture 135 02.wap subtaction of two variables Lecture 136 03.wap to multiply of two variables Lecture 137 04.divided two number Lecture 138 05.simple interest Lecture 139 06._a_v_p Lecture 140 07.swap Lecture 141 8. Wap to swap two variables without using third variable Lecture 142 9.area of triangle Lecture 143 10.wap to read t_m_s Lecture 144 11.wap to print ascci value Lecture 145 12. WAP to find out whether a Entered no. Is Even Or Odd Lecture 146 14. Wap to find out area by pai Lecture 147 15. Wap to find out average of two no's Lecture 148 16. Wap to Entered total no. Of days and find out in months Lecture 149 17. Wap to swap 3 no. Using third variable Lecture 150 18. Wap to swap 3 no's without using third variable Lecture 151 19. Wap to calculate profit and loss Lecture 152 20. Wap for calculate total & percentage then print Grades Lecture 153 21.wap to convert lower case to upper case Lecture 154 22. Wap to find out large no. Between two no's Lecture 155 23. Wap to find out max no. From four no Lecture 156 23. Wap to find out max no. From four no part 2 Lecture 157 24. Wap for Develop mini calculator Using switch with Case Lecture 158 25. Wap to for mini calculator using Arithmetic operators each operator Lecture 159 26. Wap to calculate Factorial of any given no. By user Lecture 160 27. Wap to calculate power of no Lecture 161 28. Wap to find out how many day in month Lecture 162 29. Wap to convert temp from Fahrenheit to centigrade Lecture 163 30. Wap to show given year is leap year or not Lecture 164 31. Wap to know is year leap year or not Lecture 165 32. Wap for weekday Lecture 166 33. Wap to working of telephone bill company Lecture 167 34. Wap to find out no. Is Armstrong or not Lecture 168 35. Wap to check a no. Is palindrome or not Lecture 169 36. Wap to check whether a no. Is prime or not Lecture 170 37 . Wap to reverse of a given no Lecture 171 38. Wap to print table of any no Lecture 172 38. Wap to print table of any no part 2 Lecture 173 39. Wap to print FIBBONACCI series Lecture 174 40. Wap to print sequence 1,3,5,7,9.....n Lecture 175 41. Wap to print 2,4,6,8,10.........n Lecture 176 42. Wap to print sequence 1,4,9,16,25,..............n Lecture 177 44.write a program print fatorial number Lecture 178 45.write a program using recursion print fatorial number Lecture 179 46.write a c program without main function Lecture 180 47.write a program convert decimal to binary Lecture 181 48. Wap to print following shape with the help of loops Lecture 182 49. Wap to print alphabet with triange Lecture 183 50. Wap to print this shape Lecture 184 51.FIBBONACCI series print triangle Lecture 185 52.Number triangle series print triangle Lecture 186 53. Wap to print this shape Lecture 187 54. Wap to print this shape Lecture 188 56. Wap to print this shape Lecture 189 57. Wap to print this star shape in this form Lecture 190 58. Wap to print this star shape in this form Lecture 191 59. Wap to print this binary shape Lecture 192 60. Wap to floyd's triangle this binary shape Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies.,A basic understanding of any of the programming languages will help you in understanding the C programming concepts and move fast on the learning track.,Any One take this course who is really action tracker Screenshot Homepage https://www.udemy.com/course/c-programming-basic-to-advanced-with-200-problem-solving/ Rapidgator https://rg.to/file/0c3c3286bad2c8c5544329cb9db18745/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part5.rar.html https://rg.to/file/1afa5db2db93d519791c1528363ef898/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part2.rar.html https://rg.to/file/8e2c8f103ed4dd181101b802bf16aa1a/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part3.rar.html https://rg.to/file/9321eb0e3ef8ba602a3e29ce9985d2bf/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part4.rar.html https://rg.to/file/cafbdd8d98c4c0454dfa2db4e02dd464/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part7.rar.html https://rg.to/file/d2c862b37950d051a50220d231418d94/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part6.rar.html https://rg.to/file/ec8183c7b06908e12d6a654de08aad95/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part1.rar.html Fikper Free Download https://fikper.com/9wmKqpgIk1/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part3.rar.html https://fikper.com/C1GAp7Ixk1/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part5.rar.html https://fikper.com/ZsHDiQuhF4/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part6.rar.html https://fikper.com/pIK4CzCdan/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part1.rar.html https://fikper.com/qMkulwpcRF/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part2.rar.html https://fikper.com/rSxxOjtDaW/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part4.rar.html https://fikper.com/rg4b8oNrve/oaloq.C.Programming.Basic.To.Advanced.With.200.Problem.Solving.part7.rar.html No Password - Links are Interchangeable

Free Download Android NDK Programming - Master Class Published 10/2024 Created by James Jiang MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 32m ) | Size: 1.23 GB Android apps development use C/C++ code What you'll learn Android NDK programming Write High performance Android APP Android programming using C/C++ Build FFmpeg for Android from source code Using FFmpeg in AndroidStudio project Requirements Android Programming C/C++ Java Description This is a practical class about Android NDK programming. After learning this class, you will be able to write high performance program with C/C++ code for your Android Apps. And you can integrate existing C/C++ libraries into your Android Apps.This course has two prerequisites. Firstly, basic Java programming skills is required as most Android apps are developed in Java code. Secondly, basic C/C++ programming skills is recommended. It will be helpull if you hava some basic Android development experience.The Android NDK is a set of tools allowing you to embed C or C++ ("native code") into your Android apps. The ability to use native code in Android apps can be particularly useful to developers who wish to do one or more of the following:Port their apps between platforms.Reuse existing libraries, or provide their own libraries for reuse.Increase performance in certain cases, particularly computationally intensive ones like games.JNI is the Java Native Interface. It defines a way for the bytecode that Android compiles from managed code (written in the Java or Kotlin programming languages) to interact with native code (written in C/C++). JNI is vendor-neutral, has support for loading code from dynamic shared libraries, and while cumbersome at times is reasonably efficient.This lecture will teach you setup Android NDK develop environment and create your first NDK program.FFMPEG is one of the most popular or powerful media processing library with multiple platform support and it is capable of doing Most of Media processing task. You will learn Compile/Build Latest ffmpeg for Android and Use it in Android Studio. Who this course is for Beginner Android developers Beginner C/C++ developers Beginner FFmpeg developers Homepage https://www.udemy.com/course/android-ndk-programming-master-class/ Screenshot Rapidgator https://rg.to/file/3a1e3f63c9497dd1a8a10560362e1e6f/uthoj.Android.NDK.Programming.Master.Class.part2.rar.html https://rg.to/file/c8666de5f96c803b7c6c37542461e4f1/uthoj.Android.NDK.Programming.Master.Class.part1.rar.html Fikper Free Download https://fikper.com/3x1A5BjhOJ/uthoj.Android.NDK.Programming.Master.Class.part1.rar.html https://fikper.com/NDgKk5SE0F/uthoj.Android.NDK.Programming.Master.Class.part2.rar.html No Password - Links are Interchangeable

Free Download Advanced Game Programming With Directx 11 Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.12 GB | Duration: 1h 46m Elevate Your Graphics Programming Skills[The course still continues] What you'll learn Identify and manage a C++ project Knowledge of Graphics programming Developing your own game Knowledge of the most used API by famous game companies Requirements Intermediate level C++ knowledge Basic math knowledge Curiosity, perseverance and to be determined Description Master the art of game development with DirectX 11 and take your programming skills to the next level! This advanced course is designed for intermediate to expert C++ developers who want to push the boundaries of real-time 3D graphics and develop cutting-edge game engines. By diving deep into the DirectX 11 API, you will acquire the expertise necessary to build visually stunning, high-performance games that captivate players.The course is continually evolving, with 2 new videos released each week to ensure you're consistently building your knowledge. Weekly learning is crucial in game development because it helps solidify complex concepts and keeps you on track with hands-on practice. By engaging with fresh content regularly, you'll steadily master each advanced topic while staying motivated.During the course, you will cover all the fundamentals of computer graphics and work hands-on with Direct3D, mastering components likebuffers, vertices/indicesspace transformation,swap chains,and textures.This course isn't just about learning the basics-you'll explore advanced rendering techniques, including lighting models,blending,shaders, anti-aliasing,frustum cullingand the intricacies of the graphics pipeline. To create immersive and visually stunning games! With a strong focus on GPU programming and real-time rendering, you'll learn to implement advanced features such as tessellation, anti-aliasing, and frustum culling, preparing you to create immersive and visually stunning games.Join us now to keep progressing in your game development career, learning step by step each week, and mastering DirectX 11 technology! Overview Section 1: Overview of graphics theory Lecture 1 About This Course Lecture 2 How does game graphics work? Lecture 3 Graphics Pipeline Lecture 4 History of APIs Lecture 5 Graphics APIs Lecture 6 About COM Lecture 7 Important concepts in DirectX Lecture 8 Installing DirectX SDK Lecture 9 The best way to logging! Section 2: Building math foundation Lecture 10 Vector Algebra Game developers who want to develop their own game engine,Curious game developers,People who want to improve their career Screenshot Homepage https://www.udemy.com/course/advanced-game-programming-with-directx-11/ Rapidgator https://rg.to/file/19f3bcd3aad1604ee1464a6c8395fa98/sdlzs.Advanced.Game.Programming.With.Directx.11.part3.rar.html https://rg.to/file/5adb2f918d450a6106ecc26e28efb95a/sdlzs.Advanced.Game.Programming.With.Directx.11.part2.rar.html https://rg.to/file/96a08d8fb53092a9b27f54341390c5bb/sdlzs.Advanced.Game.Programming.With.Directx.11.part1.rar.html Fikper Free Download https://fikper.com/BLiatI0YvG/sdlzs.Advanced.Game.Programming.With.Directx.11.part3.rar.html https://fikper.com/Q96ae6BMH6/sdlzs.Advanced.Game.Programming.With.Directx.11.part1.rar.html https://fikper.com/eCskIsOx5G/sdlzs.Advanced.Game.Programming.With.Directx.11.part2.rar.html No Password - Links are Interchangeable

Free Download Advance Bit Programming in C/C++ Published 10/2024 Created by Abhishek CSEPracticals,Shiwani Nigam,Ekta Ekta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 33 Lectures ( 3h 4m ) | Size: 1.1 GB C/C++ Bit Level Programming, Bitmaps, Access Control Lists, Bit Encryption-Decryption, Checksum Calculation What you'll learn Writing low level Bit Manipulation Codes Writing Endian-ness Independent Code Building Bitmap Library, Writing Bit-level algorithms Bloom Filters, Bit level Encryption Decryption Requirements C/C++ Programmers Knowledge of Basic Bit level Operations Good in applying raw Pointers Arithmatic in C/C++ Description This course is designed for System Programmers, Kernel developers, Embedded programmers Or anyone who need to work at low-level memory manipulation ( at bit level ).This is an Advance level Course in bit-programming, so it is assumed that the student is already familiar with basic bit-wise operators in C/C++.In this course we will implement a bitmap library that is endian-ness independent. A bitmap is nothing but an array of bits. We will be going to implement some advanced operations on bitmaps.We will also be introduced to the concept of Masks and WildCards and how to use them.We ended this course by Implementing some real-world problems and data structures that conceptually works at the bit level. For example, Bloom Filters, Checksum, File-Compression Or Cryptographic algorithms to name a few.The End Product of this course is a bitmap library which will be needed in sequel course which we will be dedicated to implementing a Advance Data structures extensively used in Networking - Routing Tables and Access Control Lists. We will then see how to implement more sophisticated Networking utilities such as packet sniffers Or Packet Filters OR integrate our Libraries within Linux Networking stack.So, be ready to write lots of bit-level code and see how things works at bit level. Who this course is for Embedded System/ Networking / Kernel Developers C/C++ Students looking to excel in bit level programming Homepage https://www.udemy.com/course/bitbytes/ Screenshot Rapidgator https://rg.to/file/1bfb4ceb37b1a2d8b7f1ab8f6cd30b56/oyfbb.Advance.Bit.Programming.in.CC.part2.rar.html https://rg.to/file/d2bb827d517a47e8fcc58f904644d97b/oyfbb.Advance.Bit.Programming.in.CC.part1.rar.html Fikper Free Download https://fikper.com/2GcZgeel3V/oyfbb.Advance.Bit.Programming.in.CC.part2.rar.html https://fikper.com/mxBL1qPy9s/oyfbb.Advance.Bit.Programming.in.CC.part1.rar.html No Password - Links are Interchangeable

Free Download AI Programming in C# - Beginner to Expert Published 10/2024 Created by Robert Gioia MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 305 Lectures ( 16h 2m ) | Size: 8 GB Features 14 hands-on projects and 16 hours of content. Code AI, ML, Neural Networks, and more in C#! What you'll learn Build 14 hands-on AI projects using C# Create an AI that navigates mazes using the TorchSharp library Code a Neural Network and understand how they are architected Learn how to create machine learning models Build a classification AI that can tell if a movie review is positive or negative Create an image classification AI that can tell the difference between puppies and kittens Code a regression AI that predicts housing prices Build a forecasting AI that predicts the future prices of stocks Create a movie recommendation AI that can suggest movies based on past viewing history Code a sentiment analysis AI that determines if a movie review is positive or negative Build an anomaly detection AI that can spot anomalies in network data, like security threats Develop a text generation AI that generates Shakespearean-style text. Create a time series analysis AI will be able to predict future website traffic Code a clustering AI that groups customers into clusters based on their purchase history Build a reinforcement learning AI that learns how to play tic tac toe Develop an artificially intelligent game character that performs collection, pathfinding, and obstacle avoidance in the Unity game engine Gain an understanding of Large Language Models (LLM) Master using ChatGPT to become more productive and assist you in daily tasks Learn Linear Algebra and its applications to AI development Understand AI algorithms like Q-Learning, Policy Gradient, A*, and more Learn the best practices for optimizing and fine-tuning AI models Gain an understanding of data manipulation and analysis Get hands-on experience with scientific computing using NumSharp Use the Deedle library to perform time series data analysis Includes a C# Refresher section to brush up on key skills and concepts Requirements A computer running Windows, Mac, or Linux Basic knowledge of C# programming (but a refresher section is included in the course) Excitement about the topic of AI All programs used are FREE (Unity requires email to create free account) Description The goal of this course is to take a student with little or no experience programming AI and to make them a complete master of the topic using the C# programming language.Whether you want to:Build the skills you need to land your first AI development jobTake your career to the next level by learning AI programming for improving your productivityUse your C# skills to build artificial intelligence programsUnderstand the various algorithms that are used to make AI think and learn like a humanCreate some exciting AI projects hands-on using the C# programming language.this AI Programming in C# tutorial is the course you need to do all of this, and more.Why should you learn AI Programming?AI is rapidly becoming more popular worldwide, across almost all industriesBy learning to build AI programs, you can set yourself apart and further your current careerWith the rapid growth in AI, there are many open roles for AI developersAI developers make a very lucrative salaryAI likely won't take your job.but someone else who knows how to use AI better than you mightHow is the course structured?The course goes in order building up from basic to intermediate and then to advanced.There are a total of 27 sections in the course and 14 hands-on projects that we will build step-by-step. You'll not only gain conceptual and theoretical knowledge but also get plenty of practice putting those concepts into action using C# code.Most sections of the course have a quiz at the end, then a video explaining the answers to the quiz questions. That means as you learn the material you will be ensuring that you grasp the key concepts and skills before moving onto the next topic.What topics are taught in this course?AI ConceptsGenerative AI with ChatGPTAI That Solves MazesNeural NetworksMachine Learning with ML NETHands-On: Creating a Classification AIHands-On: Building an Image Classification AIHands-On: Coding a Regression AIHands-On: Creating a Forecasting AIHands-On: Develop a Recommendation AIHands-On: Develop a Sentiment Analysis AIHands-On: Develop a Anomaly Detection AIHands-On: Develop a Text Generation AIHands-On: Develop a Time Series Analysis AIHands-On: Develop a Clustering AIHands-On: Develop a Reinforcement Learning AIData Manipulation and Analysis FundamentalsMath NET Numerics for Data AnalysisNumSharp for Scientific ComputingDeedle for Time Series Data AnalysisAccord NET for Machine Learning and Statistical AnalysisML Agents in Unity (Intelligent AI for Video Games)Best Practices and OptimizationAppendix 1: C# RefresherAppendix 2: Linear AlgebraHow is this course different from the other AI courses on Udemy?While there are plenty of AI development courses on Udemy, this course is the first one that provides a comprehensive understanding of AI programming using C#. Other courses focus on languages like Python, which is a great language that has many advantages. But if you already know C# or work a job that uses C# daily, why not learn to code AI in the language that you currently use?This course focuses on a wide range of topics including the fundamentals of AI development, machine learning, neural networks, Chat GPT, large language models, video game AI characters, classification, regression, forecasting, recommendation, sentiment analysis, anomaly detection, text generation, time series analysis, clustering, reinforcement learning, data analysis, scientific computing, statistical analysis, AI optimization, linear algebra, and C# programming.Are there real-world projects in this course where you can apply the skills you learn hands-on?There are! In fact, you will build 14 hands-on AI projects in this course! You will use your C# skills to develop:An AI that navigates mazes using the TorchSharp libraryA neural networkA classification AI that can tell if a movie review is positive or negativeAn image classification AI that can tell the difference between puppies and kittensA regression AI that predicts housing pricesA forecasting AI that predicts the future prices of stocksA movie recommendation AI that can suggest movies based on past viewing historyA sentiment analysis AI that determines if a movie review is positive, negative, or neutralAn anomaly detection AI that can spot anomalies in network data, like security threatsA text generation AI that generate Shakespearean style text based on user inputA time series analysis AI will be able to predict future website trafficA clustering AI that groups customers into clusters based on their purchase historyA reinforcement learning AI that learns how to play tic tac toeAn artificially intelligent game character that performs collection, pathfinding, and obstacle avoidance in the Unity game engineI will walk you through building each of these projects step by step, so don't worry about getting overwhelmed or stuck! My students know I break down the big concepts into digestible pieces of information that anyone can understand.Who is your instructor?My name is Rob Gioia and I currently work as a Senior Solutions Architect in New York. C# is my favorite programming language, and most industry jobs that I have held have used C# as the primary programming language.During my time working with C# both in the professional and personal capacity, I've used C# to:Teach students how to program when I worked as a teacher's assistant at the New Jersey Institute of TechnologyBuild virtual reality games to therapy children with convergence insufficiency, an eye disorder, and gamify their treatment.Build a lifestyle Scratch to Win mobile app with over 10 million installs (there was some Java programming involved in this one as well :-) )Develop card trader apps based around high end Intellectual Property like Marvel, Disney, and Star Wars.Create Udemy courses that students have used to build full length video games using Unity and C#.What if you have questions?Any questions you have can be posted to the Q&A forum or messaged to me on Udemy. I check my Udemy account every day to see if students have questions, and do my best to be as responsive and helpful as possible.If you get stuck at any point during this course, send me a message and I will get you unstuck!There is no risk in taking this course!This course comes with a full 30 day money-back guarantee. You either end up with C# skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don't like it.You literally can't lose.Are you ready to master AI programming using the C# programming language and build an awesome set of AI development skills that can literally change your life? Then enroll now using the "Add to Cart" button on the right! Who this course is for Anyone that wants to learn AI programming using C# C# developers that want to use AI to take their career to the next level Beginners that haven't worked with AI and want to obtain mastery of it Homepage https://www.udemy.com/course/ai-programming-in-c-sharp-beginner-to-expert/ Screenshot Rapidgator https://rg.to/file/28ee4df2bb0478911fd76b140a4c4433/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part01.rar.html https://rg.to/file/2f075700c218c50dc7293ba237dec7a6/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part06.rar.html https://rg.to/file/3ca26a782ab905004b4a2910c2f8c309/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part02.rar.html https://rg.to/file/57eabfd19f75b065e061c69dbf9ddf6a/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part07.rar.html https://rg.to/file/642b27a1b15b1c9821746d98d2fb38dc/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part05.rar.html https://rg.to/file/834ef1e987ff3e0b7b2ee7a64c8df3b3/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part03.rar.html https://rg.to/file/d8b7924180955f48cb356a30b3962980/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part08.rar.html https://rg.to/file/e914b8e027090daf456afa634ef8ec64/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part04.rar.html https://rg.to/file/f275a39402ee44185edbc748e13166fd/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part09.rar.html Fikper Free Download https://fikper.com/6c3Rje6lH1/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part03.rar.html https://fikper.com/KDy9yDy5Xr/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part08.rar.html https://fikper.com/Mk4cPWeiqo/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part09.rar.html https://fikper.com/jicXL4Kez8/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part02.rar.html https://fikper.com/jrV7zZs5jO/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part01.rar.html https://fikper.com/pAy2zO5dFT/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part07.rar.html https://fikper.com/rd4mzXlZNj/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part06.rar.html https://fikper.com/sf492ALIiA/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part05.rar.html https://fikper.com/tpTOSWohcQ/tkbcc.AI.Programming.in.C..Beginner.to.Expert.part04.rar.html No Password - Links are Interchangeable

Free Download A Complete Guide to Programming Fundamentals and Real-World Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 34m | Size: 385 MB "Learn Python from Scratch: Build a Strong Programming Foundation and Create Real-World Projects" What you'll learn Understand Python Fundamentals: Learn the basics of Python, including syntax, data types, and variables. Control Flow Mastery: Implement conditional statements, loops, and branching to control the flow of your programs. Functions & Modules: Write reusable code, understand function arguments, return values, and manage imports effectively. Work with Data Structures: Manipulate lists, tuples, sets, and dictionaries, and use them efficiently in various applications. File Handling: Read from, write to, and manage files in Python, including working with CSV and JSON formats. Object-Oriented Programming (OOP): Master OOP concepts such as classes, objects, inheritance, polymorphism, and encapsulation. Error Handling & Debugging: Handle exceptions gracefully and debug your programs to write robust, error-free code. Libraries & APIs: Learn to install and use external Python libraries and interact with APIs for enhanced project functionality. Build Real-World Projects: Integrate Python skills to develop and deploy projects using libraries like pandas and Matplotlib for data analysis. Requirements No prior programming experience required - this course is designed for complete beginners to masters A computer with internet access - to install Python and follow along with the coding exercises. Basic computer skills - students should be comfortable with downloading and installing software. Desire to learn - a willingness to practice coding and problem-solving as you progress through the course. Description Are you ready to unlock the full potential of Python, the language used by top tech companies like Google and Netflix? Whether you're completely new to programming or looking to level up your skills, this course will guide you from absolute beginner to confident Python programmer, with no prior experience required.This course offers a practical, hands-on approach to learning Python, taking you from the fundamentals to building real-world projects. Along the way, you'll gain the skills needed to automate tasks, analyze data, and create robust applications that solve real problems.Why choose Python? Python is not only beginner-friendly but also one of the most versatile languages used in web development, data science, machine learning, and automation. With its simple syntax and powerful capabilities, you can quickly and easily transition from learning to doing, turning your new skills into practical, tangible results.In this course, you'll also have access to coding exercises, quizzes, and real-world examples to solidify your understanding of Python. Plus, with lifetime access, you can revisit the material anytime, whenever needed. Don't miss out on the chance to learn one of the most versatile and powerful programming languages today. Join now and start your journey to mastering Python! Who this course is for Beginners in Programming - Ideal for those with no prior experience who want to learn Python from scratch. Aspiring Developers - Anyone looking to build a foundation in programming and eventually pursue careers in software development, web development, or app development. Data Science & AI Enthusiasts - Individuals interested in exploring Python for data analysis, machine learning, or artificial intelligence. Professionals Seeking to Automate Tasks - Office professionals and IT personnel looking to use Python to automate tasks and improve workflows. Students and Learners - College or high school students interested in learning Python as part of their curriculum or for personal development. Hobbyists & Tinkerers - Anyone who enjoys learning new technologies and wants to build fun, practical projects with Python. Homepage https://www.udemy.com/course/a-complete-guide-to-programming-fundamentals-and-real-world/ Screenshot Rapidgator https://rg.to/file/536d85728b2880b1760de8cc932d3077/lgzqi.A.Complete.Guide.to.Programming.Fundamentals.and.RealWorld.rar.html Fikper Free Download https://fikper.com/N0ZoIGephy/lgzqi.A.Complete.Guide.to.Programming.Fundamentals.and.RealWorld.rar.html No Password - Links are Interchangeable