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In conclusion, the Harkirat Singh Full Stack Open Source Cohort Course on GetFreeCourses.UK is a golden opportunity for aspiring developers. With a well-structured curriculum, hands-on learning, and a focus on real-world applications, participants can expect to emerge from the course with a thorough understanding of Full Stack development and the confidence to actively contribute to open source projects. Seize the chance to elevate your skills under the guidance of an experienced instructor – enroll in the Harkirat Singh Full Stack Open Source Cohort Course today! Warmup Session - Week 0 | Orientation class JavaScript Fundamentals - Week 1.1 | Recapping Prerequisites, Basics of JS - Week 1.1 | Recap of Prerequisites, Basics of JS, Introduction to async JS - Week 1.2 | Additional class on JS - Week 1.3 | Exploring Async Concepts: Async, Await, Callbacks, Promises - Week 1.3 | In-depth Study of Async, Await, Callbacks, Promises (Zoom Upload) - Week 1.3 | Assignment Guidelines - Week 1.4 | Extra Class – Git and Assignments - Week 1.4 | Supplementary Session on Git/Github/Assignments - Assignment 1 – Solution Backend Development with Node.js and Express - Week 2.1 | Introduction to Express, Node.js, Backend Systems - Week 2.1 | Node.js, Backend Systems, and HTTP Servers - Week 2.2 | Understanding Middlewares, Request, and Responses - Extra class | Assignments on Promises and Async - Week 2.3 | Assignment Frontend Development: HTML, CSS, and React - Week 3.1 | Wrapping up Backend, Initiating Frontend - Week 3.2 | Basics of HTML, CSS, Introduction to React - Week 3.1 | Assignment - Week 4.1 | In-depth Exploration of React, Introduction to Components - Week 4.2 | Rendering, Props, and Context in React - Week 4.3 | Assignment State Management and TypeScript Integration - Week 5.1 | Introduction to State Management - Week 5.2 | Completing State Management - Week 5.3 | Assignment - Week 6.1 | Introducing Typescript, Migrating Backend to TS - Week 6.2 | Advanced Concepts in TypeScript, Transitioning Frontend to TS - Week 6.3 | Assignment 1 – Frontend - Week 6.4 | Assignment 2 – Backend Advanced Concepts: Mono Repos, CI/CD, and Open Source Contribution - Week 7.1 | Understanding Mono Repos, Introduction to Frameworks - Week 7.2 | CI/CD in Full Stack Projects - Week 7.3 | Assignment - Week 8.1 | Exploring Open Source Development - Week 8.2 | Forking and Resolving Issue #1 - Week 8.3 | Assignment 1 – Open Source Issue #1 - Week 8.4 | Assignment 2 – Open Source Issue #2 In-Depth Open Source Contribution and Real-Time Project Involvement - Week 9.1 | Navigating Through the Fork, Understanding Frontend of the Fork - Week 9.2 | Exploring the Main Repository - Week 9.3 | Assignment 1 – Open Source Issue #1 - Week 9.4 | Assignment 2 – Open Source Issue #2 - Week 10.1 | Real-Time Open Source Contribution to the Main Repository - Week 10.2 | Guiding Students Through Open Source Issues in Real Time - Week 10.3 | Open Source Issue in Main Repository - Unofficial Late-Night Session – Crafting a Discord Bot for User Validation Certificate of Completion - Week 11.1 | Open Source Contributions in Project #2 - Week 11.2 | Open Source Contributions in Project #2 – Part 2 Download Part 2 DOWNLOAD FILE WEEK 5.1.MP4 Download Part 2 Read the full article

In the expansive realm of programming languages, Python emerges as a welcoming entry point for individuals new to coding. Its simplicity, readability, and versatility position it as an ideal choice for beginners venturing into the coding world. If you're enthusiastic about starting your Python journey, this guide will lead you through the fundamental steps to initiate your programming exploration. Step 1: Install Python Initiating your Python journey begins with installing the language on your machine. Python is compatible with various operating systems, including Windows, macOS, and Linux. Visit the official Python website (https://www.python.org/) and proceed to the "Downloads" section. Select the version suitable for your operating system and follow the provided installation instructions. Step 2: Choose a Text Editor or IDE After installing Python, you'll need a tool to write and run your code. While Python comes with its built-in IDLE (Integrated Development and Learning Environment), many developers opt for text editors or integrated development environments (IDEs) for a more feature-rich experience. Popular choices include VSCode, PyCharm, Atom, and Sublime Text. Choose one that aligns with your preferences and install it on your machine. Step 3: Learn the Basics Python's syntax is intentionally designed to be readable and straightforward, making it an excellent choice for beginners. Begin by mastering fundamental concepts such as: - Variables and Data Types: Understand how to store and manipulate data using variables, acquainting yourself with data types like integers, floats, strings, and booleans. - Control Flow: Learn about decision-making with if statements, looping through for and while loops, and managing exceptions. - Functions: Grasp the concept of functions, including how to define them and employ built-in functions. Step 4: Dive into Python Libraries Python's strength lies in its extensive libraries. As you progress, explore popular libraries like: - NumPy and Pandas for Data Science: These libraries facilitate data manipulation and analysis, establishing Python as a preferred language for data scientists. - Matplotlib and Seaborn for Data Visualization: Visualize data using these libraries to craft insightful charts and graphs. - Requests for Web Scraping: Learn how to extract data from websites using the Requests library. Step 5: Practice with Projects Apply your newfound knowledge by engaging in small projects. Whether it's a straightforward web scraper, a data analysis endeavor, or a basic web application, hands-on experience will solidify your understanding and foster confidence. Step 6: Explore Advanced Topics As your comfort with Python grows, delve into advanced topics such as: - Object-Oriented Programming (OOP): Understand the principles of OOP, a widely employed paradigm in Python. - Web Development with Django or Flask: Immerse yourself in web development by exploring frameworks like Django or Flask. - Machine Learning and AI: Venture into the realms of machine learning and artificial intelligence using libraries such as TensorFlow and PyTorch. Step 7: Join the Python Community Python boasts a vibrant and supportive community. Engage with forums like Stack Overflow, Reddit's r/learnpython, or attend local Python meetups to connect with fellow learners and seasoned developers. Sharing experiences and seeking guidance from the community is integral to the learning process. Conclusion: Embarking on your Python journey is an exhilarating undertaking. By following these steps, you'll establish a robust foundation and gain the confidence to explore the myriad possibilities that Python offers. Remember, programming is an ongoing learning process, so embrace challenges, seek guidance from the community, and relish the fulfilling journey of attaining proficiency in Python. Happy coding! Read the full article

Do you want to Learn Programming in Python Using ChatGPT, but don’t know where to start? Perfect! You're in the proper ChatGPT Accelerated Python course now. You will learn everything you need to know about using ChatGPT to speed up your coding and Python programming in this course. Meet Cobalt, your instructor, who has been teaching novice and seasoned programmers alike how to develop and improve their code regardless of skill level and experience for the past 25 years. We'll go over all you need to know about Python's control flow, grammar, data types, functions, and much more in these enjoyable and practical lectures. What you’ll learn in ChatGPT Accelerated Python course - Python: Fundamentals, user setup, interface, control flow, syntax, data types, functions, and much more! - Continue to Grow: Expand your Python skills with newly added learning lessons on a regular basis! - Develop Code: Handle common errors and learn the process of debugging, fixing real life problems with critical thinking and ChatGPT! - ChatGPT: Engineer the perfect prompts, improve your code, and iterate your coding projects faster than ever before! - Learning Activities: Test your knowledge and bring your newly honed skills to life! - Create Your Own: Utility scripts, web servers, games, API integrations, and more! Requirements - No coding experience needed. You will learn everything you need to know in this course. The following abilities will have been acquired by the end of the course: - Python Foundations : An explanation of Python that includes a detailed overview of the Pycharm website's design and user experience. The fundamentals of programming, including the structure of a script, algorithms, variables, data types, and an overview of Python as a programming language, will be covered. Following that, we'll delve more into control flow, the decisions the language makes in light of branching structures, and how to deal with common issues through the debugging process. -Learning Python basics - Understanding Python as a programming language - Writing your own cod - ChatGPT: Fix and Supercharge Your Code : A step-by-step tutorial for ChatGPT that covers the user interface and creating an OpenAI account. The next step is to use a pre-rolled prompt in ChatGPT that creates code. You will discover how to improve your prompts, ChatGPT's fundamental algorithms' effectiveness, flaws, and restrictions, how to resolve coding problems, and how to ask the chatbot to explain sorting methods. - Learn the fundamentals of ChatGPT - use it to write code, - Prompt ChatGPT to help you complete your coding projects more quickly than ever. - Build Your Own Utility Script : You will become acquainted with the structure of a script and learn how to write a section of code that is intended to carry out particular auxiliary duties or add more functionality to other primary programmes. - Utility programmes' foundational concepts - Learn about the script anatomy of a calculator script, including operators, whitespace, control flow, and interaction. - Create a Customized Web Server : To create your own web server, you will go into the world of modules and refactoring. - Refactoring and module fundamentals - Creating new modules To make your own library into a package, become familiar with pip and packaging. - Design Your Own Game using ChatGPT Accelerated Python : To create your own game, you will investigate the idea of combining object data with code and inheritance. - Create a custom Blackjack game. Games like Cards Against Humanity should incorporate GPT - Using your personal card collection, create the card game of your choice. why enroll today: We’ll be adding 100 brand new lectures per year to this course! So once you enroll, you’ll have lifetime access to the ever growing course content library and learning activities! You’ll have lifetime access to: - 58 video lectures - 7.5 hours of learning lessons - 4 online articles - 100 gigs of streamable content - Lifetime access to the tutorials and assets - Updates to all future course materials - Teacher responses in the Q&A section If you’re ready to learn the latest technologies to make your visions real, then hit the enroll button and let’s get started! Who this course is for: - Beginner developers who are interested to learn more about coding Created byLeap Year Learning, Cobalt Barnett Last updated 08/2023 English English   Size: 4.97GB DOWNLOAD TUTORIAL https://www.udemy.com/course/chatgpt-accelerated-python/   Read the full article

Why this course is so special and different from any other resource available online? The Complete Data Structures and Algorithms Course in Python will take you from very beginning to a very complex and advanced topics in understanding Data Structures and Algorithms! You will get video lectures explaining concepts clearly with comprehensive visual explanations throughout the course. You will also see Interview Questions done at the top technology companies such as Apple,Amazon, Google and Microsoft. I cover everything you need to know about technical interview process! So whether you are interested in learning the top programming language in the world in-depth And interested in learning the fundamental Algorithms, Data Structures and performance analysis that make up the core foundational skillset of every accomplished programmer/designer or software architect and is excited to ace your next technical interview this is the course for you! And this is what you get by signing up today: Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want Friendly and fast support in the course Q&A whenever you have questions or get stuck FULL money back guarantee for 30 days! Who is this course for? Self-taught programmers who have a basic knowledge in Python and want to be professional in Data Structures and Algorithms and begin interviewing in tech positions! As well as students currently studying computer science and want supplementary material on Data Structures and Algorithms and interview preparation for after graduation! As well as professional programmers who need practice for upcoming coding interviews. And finally anybody interested in learning more about data structures and algorithms or the technical interview process! This course is designed to help you to achieve your career goals. Whether you are looking to get more into Data Structures and Algorithms , increase your earning potential or just want a job with more freedom, this is the right course for you! The topics that are covered in this course. Section 1 – Introduction - What are Data Structures? - What is an algorithm? - Why are Data Structures and Algorithms important? - Types of Data Structures - Types of Algorithms Section 2 – Recursion - What is Recursion? - Why do we need recursion? - How Recursion works? - Recursive vs Iterative Solutions - When to use/avoid Recursion? - How to write Recursion in 3 steps? - How to find Fibonacci numbers using Recursion? Section 3 – Cracking Recursion Interview Questions - Question 1 – Sum of Digits - Question 2 – Power - Question 3 – Greatest Common Divisor - Question 4 – Decimal To Binary Section 4 – Bonus CHALLENGING Recursion Problems (Exercises) - power - factorial - productofArray - recursiveRange - fib - reverse - isPalindrome - someRecursive - flatten - captalizeFirst - nestedEvenSum - capitalizeWords - stringifyNumbers - collectStrings Section 5 – Big O Notation - Analogy and Time Complexity - Big O, Big Theta and Big Omega - Time complexity examples - Space Complexity - Drop the Constants and the non dominant terms - Add vs Multiply - How to measure the codes using Big O? - How to find time complexity for Recursive calls? - How to measure Recursive Algorithms that make multiple calls? Section 6 – Top 10 Big O Interview Questions (Amazon, Facebook, Apple and Microsoft) - Product and Sum - Print Pairs - Print Unordered Pairs - Print Unordered Pairs 2 Arrays - Print Unordered Pairs 2 Arrays 100000 Units - Reverse - O(N)  Equivalents - Factorial Complexity - Fibonacci Complexity - Powers of 2 Section 7 – Arrays - What is an Array? - Types of Array - Arrays in Memory - Create an Array - Insertion Operation - Traversal Operation - Accessing an element of Array - Searching for an element in Array - Deleting an element from Array - Time and Space complexity of One Dimensional Array - One Dimensional Array Practice - Create Two Dimensional Array - Insertion – Two Dimensional Array - Accessing an element of Two Dimensional Array - Traversal – Two Dimensional Array - Searching for an element in Two Dimensional Array - Deletion – Two Dimensional Array - Time and Space complexity of Two Dimensional Array - When to use/avoid array Section 8 – Python Lists - What is a List? How to create it? - Accessing/Traversing a list - Update/Insert a List - Slice/ from a List - Searching for an element in a List - List Operations/Functions - Lists and strings - Common List pitfalls and ways to avoid them - Lists vs Arrays - Time and Space Complexity of List - List Interview Questions Section 9 – Cracking Array/List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Question 1 – Missing Number - Question 2 – Pairs - Question 3 – Finding a number in an Array - Question 4 – Max product of two int - Question 5 – Is Unique - Question 6 – Permutation - Question 7 – Rotate Matrix Section 10 – CHALLENGING Array/List Problems (Exercises) - Middle Function - 2D Lists - Best Score - Missing Number - Duplicate Number - Pairs Section 11 – Dictionaries - What is a Dictionary? - Create a Dictionary - Dictionaries in memory - Insert /Update an element in a Dictionary - Traverse through a Dictionary - Search for an element in a Dictionary - Delete / Remove an element from a Dictionary - Dictionary Methods - Dictionary operations/ built in functions - Dictionary vs List - Time and Space Complexity of a Dictionary - Dictionary Interview Questions Section 12 – Tuples - What is a Tuple? How to create it? - Tuples in Memory / Accessing an element of Tuple - Traversing a Tuple - Search for an element in Tuple - Tuple Operations/Functions - Tuple vs List - Time and Space complexity of Tuples - Tuple Questions Section 13 – Linked List - What is a Linked List? - Linked List vs Arrays - Types of Linked List - Linked List in the Memory - Creation of Singly Linked List - Insertion in Singly Linked List in Memory - Insertion in Singly Linked List Algorithm - Insertion Method in Singly Linked List - Traversal of Singly Linked List - Search for a value in Single Linked List - Deletion of node from Singly Linked List - Deletion Method in Singly Linked List - Deletion of entire Singly Linked List - Time and Space Complexity of Singly Linked List Section 14 – Circular Singly Linked List - Creation of Circular Singly Linked List - Insertion in Circular Singly Linked List - Insertion Algorithm in Circular Singly Linked List - Insertion method in Circular Singly Linked List - Traversal of Circular Singly Linked List - Searching a node in Circular Singly Linked List - Deletion of a node from Circular Singly Linked List - Deletion Algorithm in Circular Singly Linked List - Method in Circular Singly Linked List - Deletion of entire Circular Singly Linked List - Time and Space Complexity of Circular Singly Linked List Section 15 – Doubly Linked List - Creation of Doubly Linked List - Insertion in Doubly Linked List - Insertion Algorithm in Doubly Linked List - Insertion Method in Doubly Linked List - Traversal of Doubly Linked List - Reverse Traversal of Doubly Linked List - Searching for a node in Doubly Linked List - Deletion of a node in Doubly Linked List - Deletion Algorithm in Doubly Linked List - Deletion Method in Doubly Linked List - Deletion of entire Doubly Linked List - Time and Space Complexity of Doubly Linked List Section 16 – Circular Doubly Linked List - Creation of Circular Doubly Linked List - Insertion in Circular Doubly Linked List - Insertion Algorithm in Circular Doubly Linked List - Insertion Method in Circular Doubly Linked List - Traversal of Circular Doubly Linked List - Reverse Traversal of Circular Doubly Linked List - Search for a node in Circular Doubly Linked List - Delete a node from Circular Doubly Linked List - Deletion Algorithm in Circular Doubly Linked List - Deletion Method in Circular Doubly Linked List - Entire Circular Doubly Linked List - Time and Space Complexity of Circular Doubly Linked List - Time Complexity of Linked List vs Arrays Section 17 – Cracking Linked List Interview Questions (Amazon, Facebook, Apple and Microsoft) - Linked List Class - Question 1 – Remove Dups - Question 2 – Return Kth to Last - Question 3 – Partition - Question 4 – Sum Linked Lists - Question 5 – Intersection Section 18 – Stack - What is a Stack? - Stack Operations - Create Stack using List without size limit - Operations on Stack using List (push, pop, peek, isEmpty, ) - Create Stack with limit (pop, push, peek, isFull, isEmpty, ) - Create Stack using Linked List - Operation on Stack using Linked List (pop, push, peek, isEmpty, ) - Time and Space Complexity of Stack using Linked List - When to use/avoid Stack - Stack Quiz Section 19 – Queue - What is Queue? - Queue using Python List – no size limit - Queue using Python List – no size limit , operations (enqueue, dequeue, peek) - Circular Queue – Python List - Circular Queue – Python List, Operations (enqueue, dequeue, peek, ) - Queue – Linked List - Queue – Linked List, Operations (Create, Enqueue) - Queue – Linked List, Operations (Dequeue(), isEmpty, Peek) - Time and Space complexity of Queue using Linked List - List vs Linked List Implementation - Collections Module - Queue Module - Multiprocessing module Section 20 – Cracking Stack and Queue Interview Questions (Amazon,Facebook, Apple, Microsoft) - Question 1 – Three in One - Question 2 – Stack Minimum - Question 3 – Stack of Plates - Question 4 – Queue via Stacks - Question 5 – Animal Shelter Section 21 – Tree / Binary Tree - What is a Tree? - Why Tree? - Tree Terminology - How to create a basic tree in Python? - Binary Tree in The Complete Data Structures and Algorithms Course in Python - Types of Binary Tree - Binary Tree Representation - Create Binary Tree (Linked List) - PreOrder Traversal Binary Tree (Linked List) - InOrder Traversal Binary Tree (Linked List) - PostOrder Traversal Binary Tree (Linked List) - LevelOrder Traversal Binary Tree (Linked List) - Searching for a node in Binary Tree (Linked List) - Inserting a node in Binary Tree (Linked List) - Delete a node from Binary Tree (Linked List) - Delete entire Binary Tree (Linked List) - Create Binary Tree (Python List) - Insert a value Binary Tree (Python List) - Search for a node in Binary Tree (Python List) - PreOrder Traversal Binary Tree (Python List) - InOrder Traversal Binary Tree (Python List) - PostOrder Traversal Binary Tree (Python List) - Level Order Traversal Binary Tree (Python List) - Delete a node from Binary Tree (Python List) - Entire Binary Tree (Python List) - Linked List vs Python List Binary Tree Section 22 – Binary Search Tree - What is a Binary Search Tree? Why do we need it? - Create a Binary Search Tree - Insert a node to BST - Traverse BST - Search in BST - Delete a node from BST - Delete entire BST - Time and Space complexity of BST Section 23 – AVL Tree - What is an AVL Tree? - Why AVL Tree? - Common Operations on AVL Trees - Insert a node in AVL (Left Left Condition) - Insert a node in AVL (Left Right Condition) - Insert a node in AVL (Right Right Condition) - Insert a node in AVL (Right Left Condition) - Insert a node in AVL (all together) - Insert a node in AVL (method) - Delete a node from AVL (LL, LR, RR, RL) - Delete a node from AVL (all together) - Delete a node from AVL (method) - Delete entire AVL - Time and Space complexity of AVL Tree Section 24 – Binary Heap - What is Binary Heap? Why do we need it? - Common operations (Creation, Peek, sizeofheap) on Binary Heap - Insert a node in Binary Heap - Extract a node from Binary Heap - Delete entire Binary Heap - Time and space complexity of Binary Heap Section 25 – Trie - What is a Trie? Why do we need it? - Common Operations on Trie (Creation) - Insert a string in Trie - Search for a string in Trie - Delete a string from Trie - Practical use of Trie Section 26 – Hashing - What is Hashing? Why do we need it? - Hashing Terminology - Hash Functions - Types of Collision Resolution Techniques - Hash Table is Full - Pros and Cons of Resolution Techniques - Practical Use of Hashing - Hashing vs Other Data structures Section 27 – Sort Algorithms - What is Sorting? - Types of Sorting - Sorting Terminologies - Bubble Sort - Selection Sort - Insertion Sort - Bucket Sort - Merge Sort - Quick Sort - Heap Sort - Comparison of Sorting Algorithms Section 28 – Searching Algorithms - Introduction to Searching Algorithms - Linear Search - Linear Search in Python - Binary Search - Binary Search in Python - Time Complexity of Binary Search Section 29 – Graph Algorithms - What is a Graph? Why Graph? - Graph Terminology - Types of Graph - Graph Representation - Create a graph using Python - Graph traversal – BFS - BFS Traversal in Python - Graph Traversal – DFS - DFS Traversal in Python - BFS Traversal vs DFS Traversal - Topological Sort in The Complete Data Structures and Algorithms Course in Python - Topological Sort Algorithm - Topological Sort in Python - Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) - BFS for Single Source Shortest Path Problem (SSSPP) in Python - Why does BFS not work with weighted Graphs? - Why does DFS not work for SSSP? - Dijkstra’s Algorithm for SSSP - Dijkstra’s Algorithm in Python - Dijkstra Algorithm with negative cycle - Bellman Ford Algorithm - Bellman Ford Algorithm with negative cycle - Why does Bellman Ford run V-1 times? - Bellman Ford in Python - BFS vs Dijkstra vs Bellman Ford - All pairs shortest path problem - Dry run for All pair shortest path - Floyd Warshall Algorithm - Why Floyd Warshall? - Floyd Warshall with negative cycle, - Floyd Warshall in Python, - BFS vs Dijkstra vs Bellman Ford vs Floyd Warshall, - Minimum Spanning Tree, - Disjoint Set, - Disjoint Set in Python, - Kruskal Algorithm, - Kruskal Algorithm in Python, - Prim’s Algorithm, - Prim’s Algorithm in Python, - Prim’s vs Kruskal Section 30 – Greedy Algorithms - What is Greedy Algorithm? - Well known Greedy Algorithms - Activity Selection Problem - Activity Selection Problem in Python - Coin Change Problem - Coin Change Problem in Python - Fractional Knapsack Problem - Fractional Knapsack Problem in Python Section 31 – Divide and Conquer Algorithms - What is a Divide and Conquer Algorithm? - Common Divide and Conquer algorithms - How to solve Fibonacci series using Divide and Conquer approach? 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Most of my students know me for my practical, project-based courses and tutorials. I wanted to create something to give you more fundamental skills for problem solving. That’s where the idea for this challenges course came from. I want to take my down-to-earth explanations to help you get a better understanding of the code that you write and help you write more efficient code. This course is for all levels as long as you have a basic understanding of things like loops, functions, arrays, etc. We are writing JavaScript in this course, but about 95% of it can translate to any other language. So even if you are a Python, PHP or C# developer, you can still follow along. Basic Challenges: We start with a bunch of basic challenges that have to do with iteration and loops. Things like FizzBuzz and string reversals. These are very popular questions for entry-level interviews. We also move on to solving problems with high order array methods like filter and map. Recursion: Recursion is one of the toughest things to learn in programming. We have an entire section dedicated to it with challenges that we solve using recursion. Time & Space Complexity: We talk about how to measure an algorithm or function’s efficiency by using time and space complexity to see how the runtime and memory scale when inscreasing the input. Data Structures: Stacks, Queues, Trees, Linked Lists, Graphs, HashMaps We go over all of the common data structures and create our own implementation of them using JavaScript classes, but like I said, you could use any language. We also learn how to traverse them and complete challenges using them. Sorting Algorithms: We get into different sorting algorithms like bubble sort, insertion, selection, merge and quick sort. These are popular topics for interviews. Read the full article

C++ Programming Essentials for Beginners. Are you eager to dive into the captivating realm of C++ programming but concerned about course costs? Look no further! At GetFreeCourses.uk, we are thrilled to provide you with free access to our extensive "C++ Programming Essentials for Beginners" course available on Udemy. C++ is a potent and versatile programming language widely employed in software development, game creation, and more. Our course, tailored for novices, serves as the perfect stepping stone to construct a robust foundation in C++. From comprehending fundamental concepts like variables and data types to navigating through loops and functions, this course covers the entire spectrum. Why pay for knowledge when you can acquire it for free? Visit GetFreeCourses.uk today and unlock your potential. Learn C++ the savvy way - without spending a cent! C++ Programming Essentials for Beginners Are you an absolute beginner excited to launch your programming journey? Learning to code can be a daunting task, but worry not. Welcome to C++ Programming Essentials, the foundational course that every aspiring programmer should embark on to initiate their programming journey. This course not only imparts the fundamental building blocks of programming but also cultivates a logical, problem-solving mindset using C++ as our programming medium. The concepts you'll grasp in this course are transferable to other languages like Java, Python, and JavaScript, with minimal adjustments to coding syntax. You will gain a grasp of the basic concepts and techniques for dissecting complex problems into manageable segments through the use of flowcharts, pseudo code, and a comprehensive exploration of C++ topics, such as: - Variables and data types - Flow control via branching and loops - Functions - Arrays, character arrays, and strings - Recursion - Bitmasking - Object-Oriented Programming concepts C++ Programming Essentials for Beginners Udemy Free Download Course Highlights: - High-Definition Videos - Intuitive Explanations - Novice-Friendly Instruction - Proven, Industry-Recognized Curriculum - Engaging Assignments and Q&A Support - Certificate of Completion This course serves as your primary stepping stone toward enhancing your problem-solving skills and ensuring your foundational knowledge is rock-solid. Upon completing this course, you'll be well-equipped to pursue advanced programming languages and delve into subjects like Data Structures, Algorithms, and Competitive Programming. Leading companies such as Google, Facebook, Amazon, Directi, CodeNation, and Goldman Sachs highly value algorithmic programming skills and frequently organize coding competitions to recruit talented individuals who can tackle complex problems. Prateek Narang, your instructor for this course, is not only a seasoned software engineer but also a passionate educator with numerous bestselling courses in the Algorithms category on Udemy. He has a wealth of experience, having worked with industry giants like Google and co-founded two startups, including Coding Minutes, which is now an integral part of Scaler Academy. So, embark on your C++ programming journey today with our free course at GetFreeCourses.uk and unlock a world of coding possibilities. Read the full article

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Are you a JavaScript developer who struggles with CSS? Do you find yourself spending hours trying to make your designs look good, only to end up with a mess of spaghetti code? If so, you’re not alone! Fortunately, web developer and designer Josh Comeau has created a free guide that will help you master CSS and take your web design skills to the next level. In this course Master CSS for JavaScript Developers: Josh Comeau’s Guide, Comeau breaks down CSS into easy-to-understand concepts and provides real-world examples that will help you create beautiful, responsive designs. You’ll learn how to use CSS to: - Create layouts with flexbox and grid - Style typography and create responsive text - Use CSS variables to create reusable styles - Animate elements with CSS transitions and keyframes - And much more! Master CSS for JavaScript Developers: Josh Comeau’s Guide In the world of web development, mastering CSS (Cascading Style Sheets) is crucial for creating visually stunning and responsive websites. While JavaScript is essential for interactivity and functionality, CSS is what makes your web pages visually appealing. If you're a JavaScript developer looking to level up your CSS skills, you're in for a treat with Josh Comeau's Guide. Josh Comeau, a front-end developer and educator, has created a comprehensive guide specifically tailored for JavaScript developers who want to excel in CSS. Let's delve into what makes this resource so valuable. Why CSS Matters for JavaScript Developers While JavaScript powers the interactivity of web applications, CSS plays a vital role in defining the look and feel of the site. Effective styling can greatly enhance the user experience. With Josh Comeau's guide, JavaScript developers can bridge the gap between functionality and aesthetics. Comprehensive Learning Experience Josh Comeau's guide is structured to take you from CSS fundamentals to advanced techniques. It covers everything from basic styling, layout, and typography to complex topics like CSS animations and transitions. Hands-on Approach The guide not only provides theoretical knowledge but also offers plenty of hands-on practice. You'll work on practical exercises and projects that reinforce your understanding and allow you to apply what you've learned. Real-World Examples Throughout the course, Josh uses real-world examples to illustrate how CSS is used in practical web development. This contextual approach helps you understand the relevance of each concept. Interactive and Engaging Josh's teaching style is engaging and interactive. He explains concepts in a way that's easy to grasp, even for those new to CSS. His enthusiasm for the subject matter is infectious and will motivate you to dive deeper into the world of CSS. Elevate Your Web Development Skills With Josh Comeau's Guide on GetFreeCourses, JavaScript developers can elevate their web development skills by mastering CSS. The ability to create visually appealing, responsive, and user-friendly websites is a valuable asset in today's digital landscape. Start your journey to becoming a CSS expert and unlock new opportunities in web development. Dive into the guide today and take your web development skills to the next level. Master CSS for JavaScript Developers: Josh Comeau’s Guide What’s more, Master CSS for JavaScript Developers: Josh Comeau’s Guide is designed specifically for JavaScript developers, so you’ll learn how to integrate CSS seamlessly into your JavaScript projects. So why wait? Download Josh Comeau’s free CSS guide today and start creating beautiful, responsive designs with confidence! Download Part 2   Read the full article

Welcome to the Ethereum Blockchain Developer Bootcamp With Solidity. The only course you’ll need to become an Ethereum blockchain developer. With over 1,900 ⭐️⭐️⭐️⭐️⭐️ reviews, this course is one of the highest-rated Ethereum blockchain development courses online. Updated video tutorials, practical projects, and fast support in the discussion board are how you master Ethereum blockchain development. At 13+ hours, this Ethereum blockchain development course is undoubtedly the most comprehensive course of its kind anywhere online. Even if you have zero or limited programming experience, this course will take you from beginner to Ethereum blockchain developer. Here’s why: - The course gets taught by the co-creator of the industry standard Ethereum certification. - The course has been updated for 2021, so you’ll be learning with all of the latest tools. - The course doesn’t cut corners. You’ll learn by building real-world projects in our practical labs. - We’ve taught over 100,000 students in the cryptocurrency & blockchain ecosystem. - You’ll save yourself over $10,000. Yet, get access to the same materials as in-person bootcamps. - The course gets regularly updated with new content, projects and modules. We’ll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as an Ethereum blockchain developer. By the end of this course, you will be fluently programming Ethereum blockchain apps, and you’ll be so good that you can get a job or use your skills professionally. You’ll also build a portfolio of projects that you can show off to any potential employer. Ethereum Blockchain Developer Bootcamp With Solidity Don’t just take our word for it. See what existing students have to say: ⭐️⭐️⭐️⭐️⭐️ “The level of details and the careful explanation of them is unexpected. Saved hours of digging up documentation and tests – solved many questions I had even with some experience. Thanks a lot.” – Daniel Porto ⭐️⭐️⭐️⭐️⭐️ “I’ve been slowly working through this course for a couple of months now and have been LOVING it. The instruction comes at the perfect pace. The teachers are knowledgeable, and the supporting resources are packed with great labs and helpful information. Also, important for the ETH development space, the resources get constantly updated. When doing labs, I will often notice that the ‘last updated’ date is within the past week. I have taken a couple of other ETH development courses, and this is by far the best. For aspiring ETH developers, I would highly recommend this course!” – Walton Jones ⭐️⭐️⭐️⭐️⭐️ “I’m enjoying every lab in this course. Everything is constantly updated. There are helpful PDF files for quick references while you are trying to code alone, honestly one of the best, if not the best, Udemy course I have taken so far. Every question I had got answered in the deep dive explanation lesson that followed the practical lesson. I couldn’t ask for more! Thank you, Thomas and Ravinder. I hope you will do some EOSIO courses!” – Saeed Dawod We’re so confident you’ll love this course that we offer a full 30-day money-back guarantee. Join today with zero risks and everything to gain by learning a new skill. Ethereum Blockchain Developer Bootcamp With Solidity Who this course is for: - Individuals Who Want To Benefit From One Of The Most In-Demand Skills. - Technologists Who Want To Join The Highest Paid Developer Workforce. - Freelancers Who Want To Earn Money Writing Building Blockchain Apps. - Developers Who Want To Build Ethereum Blockchain Applications Using Solidity. - Professionals Who Want To Add ‘Blockchain Developer’ To Their Resume. Created by Ravinder Deol, Thomas Wiesner, Martin Sterlicchi Last updated 4/2023 English English Size: 7.22 GB Google Drive Links Download Part 1 | Download Part 2 Torrent Links Download Now https://www.udemy.com/course/blockchain-developer/. Read the full article

- Any one who is preparing for a coding interview - Anyone that wants to work a Google, Amazon, Facebook, Microsoft, Apple, Netflix or other top tech companies - Any engineer, developer, programmer, who wants to improve their interviewing skills - Anyone interested in improving their whiteboard coding skills - Anyone who wants to become a better developer - Any self taught programmer who missed out on a computer science degree Download Part 1 Read the full article

Last Updated 12/2022 Download Links Direct Download How to learn any language: best ways to learn languages fast.zip (1.4 GB) | Mirror Read the full article

Direct Download Indian Penal Code 1860: Comprehensive course on criminal law.zip (1.8 GB) | Mirror   Read the full article

Description Create and Publish Your Own Modules - GetFreeCourses.uk . Unleash the full potential of your Python skills and ascend to new heights as a proficient package creator with our comprehensive course on Python packaging. This course is specifically designed for developers across all levels, offering an in-depth exploration of Python packaging. We guide you through the fundamental principles to the intricacies involved in creating, packaging, and distributing your own Python modules. By enrolling in this course, you can anticipate numerous benefits: In-Depth Understanding: Grasp the nuances of Python’s modules, scripts, packages, namespaces, and scope, setting a firm foundation for your Python packaging journey. Practical Skills: Gain hands-on experience in writing and structuring your own Python packages, and learn to package them efficiently for distribution. Publication Expertise: Understand the process of publishing your Python packages on PyPI, making them available to the global Python community. Tools Mastery: Get acquainted with critical tools in the Python packaging ecosystem such as pip, setuptools, wheel, and twine, essential for effective package creation and distribution. Project Documentation: Learn how to effectively manage your project documentation, create compelling README files, and comprehend the significance of software licenses. Troubleshooting Techniques: Equip yourself with essential strategies to address common challenges that arise during the packaging and distribution process. Best Practices: Immerse yourself in industry-standard best practices for Python packaging, preparing you for real-world application and efficient package management. Supplementary Resources: Benefit from our additional resources designed to reinforce your learning and keep you abreast with the dynamic world of Python packaging. Whether you’re just starting your journey as a Python developer or you’ve got extensive experience, this course provides a holistic, practical understanding of Python packaging. Empower your Python programming capabilities, enhance code reusability, and share your work with the global developer community by learning to publish your own Python packages. Enroll now and accelerate your Python development career to new horizons! Who this course is for: - Python Developers: This course is ideal for Python developers who want to deepen their understanding of packaging concepts and learn how to create and distribute their own Python modules. It will provide them with the skills needed to package their code in a reusable and distributable format, making it easier to share with others. - Software Engineers: Software engineers working with Python will benefit from this course by gaining a comprehensive understanding of packaging techniques. They will learn how to structure their projects, manage dependencies, and distribute their software effectively, improving their overall development workflow. - Open-Source Contributors: Individuals interested in contributing to open-source Python projects will find this course valuable. It will equip them with the knowledge to package their contributions properly, adhere to project guidelines, and collaborate effectively with the open-source community. - Hobbyists and Self-Learners: Python enthusiasts who enjoy coding as a hobby or are self-learners seeking to enhance their Python skills will find this course beneficial. It offers practical knowledge and hands-on experience in packaging, enabling them to organize their code effectively and share their projects with others. - Students and Learners: Students studying Python or related disciplines, such as computer science or data science, can benefit from this course. Packaging is a crucial aspect of software development, and understanding it early on can improve their coding practices and prepare them for real-world projects. - Professionals Transitioning to Python: Professionals from other programming languages who are transitioning to Python will find this course helpful in understanding Python packaging conventions. It will provide them with the knowledge and skills to package their Python projects professionally and align with best practices in the Python ecosystem. Requirements - Basic Python Programming: Students should have a foundational understanding of Python programming concepts, including variables, data types, control flow, functions, and modules. Last Updated 6/2023 Download Links Direct Download Python Packaging: Create and Publish Your Own Modules.zip (1.5 GB) | Mirror You may also like :  PYTHON MASTERCLASS 2023 Read the full article

Python Masterclass 2023: Build 19 Real World Python Projects Build Real World Python Projects course is designed for beginners who want to learn Python programming language from scratch. The course contains two parts: 1. Python Basics (Section 1 to Section 14) 2. Python Projects(Section 15 to Section 44 ) Here Is What You Get By Enrolling In This Course: Word-By-Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code. High Quality Content: Over 55+ hours of HD(1080p) Videos. Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter, OpenCV, File Compression, Desktop App development with PostgreSQL & Web Scraping. 24 X 7 Support: I will always be there to guide you in your journey to become Python expert. _________________________________________________________________________ Here Is Everything You Will Learn In This Complete Course: In this hands-on course, you will learn Python right starting from scratch to the level where you can build almost anything with it, be it a fully functional database oriented web application or an automation tool. This course will teach you Python right from scratch from a very basic level and will gradually move you towards more advanced topics. We not just cover all the Python basics but also the most popular Python libraries such as Django, Flask, Tkinter & Selenium. The Complete Course is divided into 17 Major sections. Here is a brief description of what you will learn in each section. Section 1: Python basics. This section covers all the basics of Python, starting right from installing the required tools to covering topics like mathematical operators, strings, accepting user input, string operations, variables, conditionals like if, elif, control structures such as while & for loop, functions, modules & packages, lists, file handling, OOP in Python, regular expressions. Almost every basic Python concept is covered in this section. Section 2: Make GUI In Python Using Tkinter. Once done with the basics, we know learn the Tkinter library which allows us to create desktop based applications with Python. We learn how to create GUI apps using Tkinter & Python and also build a fully functional Desktop app i.e a calculator. Section 3: Making Database Oriented Desktop Apps With PostgreSQL. Making a simple desktop app alone isn’t sufficient, it needs a backend database to store some data. To do the same we learn how to connect our desktop apps to the backend. In this section we build a student management system software using Python, Tkinter to design the GUI & PostgreSQL database to store the data for our application in the backend. Section 4: File Compression & Encoding In Python. In this section we will learn how to perform file compression in Python to reduce file size. We also learn how to de-compress the compressed data and the methods used for it. We build a GUI based file compression tool using Python & Tkinter and a file compression library. Section 5: Text To Speech Converter Using Python. Text could be converted into speech/audio and that is exactly what is being covered in this specific section where we build a tool that generates audio from a given text. Not just that, we also learn how to convert an entire text file into mp3 which can be used to generate audiobooks from ebooks. We also learn how to convert the user input into speech. Section 6: QR Code Generator. We build a simple tool that can convert any link and convert it into a QR code that can be scanned via any smartphone that has a QR code reader. This tool creates QR code images that can be shared anywhere and the entire tool is built using Python & Tkinter. Build Real World Python Projects Section 7: Video Downloader App. In this section we built another tool to build our Python skills. This tool accepts a video URL, asks us to select the path where we want to download the specified video and then downloads that video to the specified path on our operating system. Not just that, this tool will also be able to convert video files into pure mp3 files as well. We build this tool from scratch right from architecting the code to designing the functionality to creating a user interface, all of it done using Python. Section 8: Building A Credit Card Validator Using Lhun’s Algorithm. In this section we will learn what is Lhun’s algorithm and how it is used to validate credit cards. We learn how Lhun’s algorithm can be implemented in Python and used to validate credit card numbers. This section is designed to teach algorithmic thinking and implementation in Python. Section 9: Data Analysis. Python is being widely used in the data science domain and hence it is important to learn how to use Python to analyse data. Hence in this section we learn how to use the tools and techniques used to perform data analysis. We start off by learning the Pandas library which is used to perform data analysis and all the basic concepts like DataFrames, Reindexing, Indexing, Broadcasting and also learn how to perform data plotting and visualisation with the Matplotlib library. In this section we also have a data science project which is based on analysing supermarket data to find insightful information which helps take better business decisions. We also learn how to represent data visually using multiple types of charts and bar graphs built using matplotlib. Section 10: Python Web Framework Django 3. This section will teach you how to build full-stack web applications with Python & Django 3. Django is one of the most popular web frameworks for Python and is used to program the back-end side of out web app. In this section we will learn Django right from basics and will build a simple book store web application. We will learn how to create models, how to route URL requests, how to create different views for our web app, how to integrate HTML templates and a lot more. In this section we also build a fully functional todo list application built using Django. This application performs all the basic CRUD operations which stands for Create, Read, Update & Delete data from the database. While building this application, we ensure that all the important concepts of Django are throughly covered and implemented. Section 11: Python Web Framework Flask. Flask is a micro web framework for Python used to build simpler web apps. If you want to develop some simple and small websites, you can do so using Flask. In this section we cover flask basics suck as Routing, Dynamic URLs, Templates, passing data to the server & site cookies. Section 12: REST APIs Using Django Rest Framework. In this section we learn how to build our own REST APIs using the Django Rest Framework. If you already have a Django web app built, you can create API endpoints for it using the Django Rest Framework. In this section we will build a fully functional REST API with features such as search, filtering & authentication. Section 13: Web Scraping in Python. Python can also be used to crawl websites and gather data from it. In this section we learn the same, we build a web crawler which crawls up any website of our choice and gathers links from it. Web crawlers are used by many search engines to rank websites and in this section we learn how to build a smaller version of it using Python. Section 14: Automation with Python & Selenium. Python is widely used for automation as well, especially for testing. Selenium web driver is one such tool which has been built for automating tests but the same can be used for automating other browser based tasks as well. In this section we learn how to automate tasks using Selenium and will also build a Facebook Bot that automatically posts status for us. Section 15: Best Practices: Writing Clean & Efficient Python Code. To be a good Python engineer/ developer you need to know how to write clean, concise and efficient Python code. In this section we learn some of the best practice that you must follow while writing Python code so. Section 16: Network Programming In Python Using Sockets: Building A Chat Application. Networking is an important concept in IT & Computer Science as it facilitates communication between devices or servers. Keeping this in mind, this section covers the basic networking concepts and we learn how to implement them using Python by building a simple desktop based chat application.  In this section we learn what is an IP address, what are ports, sockets and buffers and how they could be used to implement a communication program. We lean how sockets can be used for communication between process on the same and on different devices. Section 17: Image Processing With Python & OpenCV. Python can also be used to process and manipulate images and videos. In this section we learn how to use OpenCV library with Python to manipulate images. We learn some interesting things like capturing webcam video, tracking images from a live video, different image thresholding techniques, image blurring, averaging and Gaussian filtering. _________________________________________________________________________ Build Real World Python Projects So let’s begin the journey of becoming an expert in Python. In addition to the Udemy 30-day money back guarantee, you  have my personal guarantee that you will love what you learn in this  course. If you ever have any questions please feel free to message me  directly and I will do my best to get back to you as soon as  possible! _________________________________________________________________________ Make sure to enrol in the course before the price changes. Take yourself one step closer towards becoming a professional Python developer by clicking the “take this course button” now! Join the journey. Sincerely, Ashutosh Pawar Read the full article

Direct Download Python for Finance and Data Science.zip (3.4 GB) | Mirror You may also like : PYTHON HACKING | REAL ETHICAL HACKING WITH PYTHON | PYCEH23+ Read the full article

Taking your skills to the next level, you’ll delve into the creation of your own pentesting RAT malware. A Remote Access Trojan (RAT) provides unauthorized access to a target system, allowing you to explore and control it remotely. You’ll develop a powerful RAT malware from scratch, with both client and server components, and execute it on both Windows and Kali Linux platforms. By understanding the inner workings of such malware, you’ll be better equipped to defend against it. Understanding sockets and their functions in Python is crucial for remote access and control. In this course, you’ll explore the intricacies of sockets and how they enable communication between client and server applications. You’ll develop a client-side application and establish remote access connections, allowing you to explore and control remote systems effectively. Hacking with Python Finally, you’ll examine the server-side implementation of remote access techniques. You’ll dissect each line of code, understanding its significance in establishing a secure and robust connection between the client and server. This knowledge will empower you to develop secure remote access solutions and protect against unauthorized access. By the end of this comprehensive course, you’ll have a comprehensive skill set that will enable you to identify vulnerabilities, protect against malicious attacks, and secure networks and systems. Join us on this exciting journey of becoming a proficient Python ethical hacker and safeguarding against cyber threats. Enroll now and embark on your transformation into a cybersecurity expert with Python Ethical Hacking: Master the Art of Cybersecurity! Gain the knowledge and skills to protect yourself and others from malicious hackers and become a highly sought-after cybersecurity professional. Don’t miss this opportunity to learn from industry experts and gain hands-on experience in Python-based ethical hacking techniques. Enroll today and take the first step towards a successful career in cybersecurity! Who this course is for: - Beginner programmers who want to enter the field of ethical hacking and learn how to develop hacking tools using Python. - Cybersecurity enthusiasts who want to expand their knowledge and skills in ethical hacking and penetration testing. - IT professionals or system administrators who want to understand the hacking techniques and develop defensive strategies. - Students or researchers in the field of cybersecurity who want to gain practical experience in developing hacking tools. - Professionals involved in software development or network administration who want to enhance their understanding of security vulnerabilities and develop tools for testing and securing their systems. Requirements - No programming experience needed, You’ll learn everything here Last Updated 7/2023 Download Links Direct Download Python Hacking | Real Ethical Hacking with Python | PYCEH23+.zip (2.8 GB) | Mirror Torrent Download Python Hacking | Real Ethical Hacking with Python | PYCEH23+.torrent (89 KB) | Mirror   Read the full article