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Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

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تُعد قناة Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 56 118 مشتركاً، محتلاً المرتبة 2 374 في فئة التكنولوجيات والتطبيقات والمرتبة 6 527 في منطقة الهند.

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بحسب آخر البيانات بتاريخ 10 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 89، وفي آخر 24 ساعة بمقدار 1، مع بقاء الوصول العام مرتفعاً.

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Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 11 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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🖐 8 Super useful HTML tips & tricks that every Developer should know about
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🖐 8 Super useful HTML tips & tricks that every Developer should know about

𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 Whether you’re a student, aspi
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Learning DSA wasn’t just about acing interviews, --- it was about thinking better, building faster, and debugging smarter. 🎯 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝟵 𝗰𝗼𝗿𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻𝘀 𝘁𝗵𝗮𝘁 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗲𝗱 𝗵𝗼𝘄 𝗜 𝘀𝗼𝗹𝘃𝗲 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀: • Sliding Windows • Two Pointers • Stack Based Patterns • Dynamic Programing • BFS/DFS (Trees & Graphs) • Merge Intervals • Backtracking & Subsets • top-k Elements (Heaps) • Greedy Techniques 🛤️ 𝗠𝘆 𝗣𝗮𝘁𝗵 𝘁𝗼 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗗𝗦𝗔: • Started with basic problems on arrays & strings • Solved 1-2 problems a day, consistently for 3 months • Focused more on patterns than individual questions • Made my own notes, revisited problems I struggled with • Used visual tools to understand recursion & DP • Practiced explaining my solutions out loud (like system design reviews) • Applied patterns in real-world projects (DevOps automation, log parsing, infra tools) 💡 𝗟𝗼𝗼𝗸𝗶𝗻𝗴 𝗯𝗮𝗰𝗸, 𝗼𝗻𝗲 𝘁𝗵𝗶𝗻𝗴 𝗶𝘀 𝗰𝗹𝗲𝗮𝗿: > It's not how many problems you solve, it's how well you can recognize the pattern hiding in each one.

𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Whether you’re a student, fresher, or professional lo
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀😍 Whether you’re a student, fresher, or professional looking to upskill — Microsoft has dropped a series of completely free courses to get you started. Learn SQL ,Power BI & More In 2025  𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/42FxnyM Enroll For FREE & Get Certified 🎓

JavaScript (JS) roadmap: 1. Basic Fundamentals:    - Variables, data types, and operators.    - Control structures like loops and conditionals.    - Functions and scope. 2. DOM Manipulation:    - Access and modify HTML and CSS using JavaScript.    - Event handling. 3. Asynchronous Programming:    - Promises and async/await for handling asynchronous operations. 4. ES6 and Modern JavaScript:    - Arrow functions, template literals, and destructuring.    - Modules for code organization.    - Classes for object-oriented programming. 5. Popular Libraries and Frameworks:    - Learn libraries like jQuery or frameworks like React, Angular, or Vue depending on your project needs. 6. Package Management:    - Tools like npm or yarn for managing dependencies. 7. Build Tools:    - Webpack, Babel, and other tools for bundling and transpiling. 8. API Interaction:    - Fetch or Axios for making API requests. 9. State Management (For Frameworks):    - Redux for React, Vuex for Vue, etc. 10. Testing:     - Learn testing frameworks like Jest. 11. Version Control:     - Git for code versioning and collaboration. 12. Continuous Integration (CI) and Deployment:     - Travis CI, Jenkins, or others for automating testing and deployment. 13. Server-Side JavaScript (Optional):     - Node.js for server-side development. 14. Advanced Topics (Optional):     - WebSockets, WebRTC, Progressive Web Apps (PWAs), and more. This roadmap covers the foundational knowledge and key steps in a JavaScript developer's journey. You can explore more deeply into areas that align with your specific goals and projects.

How to stay motivated while learning to code: 🎯 Set small, achievable goals each week ✅ Celebrate every tiny win — progress is progress 🧱 Build projects you're actually excited about 👥 Join communities or study groups for support ✍️ Keep a coding journal to track your growth 📚 Mix learning with building — apply what you learn 🎮 Turn coding into a game with challenges (like LeetCode, HackerRank) 🧘 Avoid burnout — take breaks when needed 🔁 Remind yourself why you started — purpose fuels progress Programming Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502 ENJOY LEARNING 👍👍

Repost from Data Analyst Jobs
𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗧𝗼𝗱𝗮𝘆😍 1. Introduction to Data Science 2. PwC Dig
𝗧𝗼𝗽 𝗙𝗥𝗘𝗘 𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗧𝗼𝗱𝗮𝘆😍 1. Introduction to Data Science 2. PwC Digital Intelligence 3. BCG Generative AI 4. Data Analytics 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/3WavPct Enroll For FREE & Get Certified 🎓

Complete Python Roadmap 🐍👇 1. Introduction to Python - Definition - Purpose - Python Installation - Interpreter vs Compiler 2. Basic Python Syntax - Print Statement - Variables and Data Types - Input and Output - Operators 3. Control Flow - Conditional Statements (if, elif, else) - Loops (for, while) - Break and Continue Statements 4. Data Structures - Lists - Tuples - Sets - Dictionaries 5. Functions - Function Definition - Parameters and Return Values - Lambda Functions 6. File Handling - Reading from and Writing to Files - Handling Exceptions 7. Modules and Packages - Importing Modules - Creating Packages 8. Object-Oriented Programming (OOP) - Classes and Objects - Inheritance - Polymorphism - Encapsulation - Abstraction 9. Error Handling - Try, Except Blocks - Custom Exceptions 10. Advanced Data Structures - List Comprehensions - Generators - Collections Module 11. Decorators and Generators - Function Decorators - Generator Functions 12. Working with APIs - Making HTTP Requests - JSON Handling 13. Database Interaction with Python - Connecting to Databases - CRUD Operations 14. Web Development with Flask/Django - Flask/Django Setup - Routing and Templates 15. Asynchronous Programming - Async/Await - Asyncio Library 16. Testing in Python - Unit Testing - Testing Frameworks (e.g., pytest) 17. Pythonic Code - PEP 8 Style Guide - Code Readability 18. Version Control (Git) - Basic Commands - Collaborative Development 19. Data Science Libraries - NumPy - Pandas - Matplotlib 20. Machine Learning Basics - Scikit-Learn - Model Training and Evaluation 21. Web Scraping - BeautifulSoup - Scrapy 22. RESTful API Development - Flask/Django Rest Framework 23. CI/CD Basics - Continuous Integration - Continuous Deployment 24. Deployment - Deploying Python Applications - Hosting Platforms (e.g., Heroku) 25. Security Best Practices - Input Validation - Handling Sensitive Data 26. Code Documentation - Docstrings - Generating Documentation 27. Community and Collaboration - Open Source Contributions - Forums and Conferences Resources to Learn Python: 1. Free Course - https://www.freecodecamp.org/learn/data-analysis-with-python/ 2. Projects - t.me/pythonfreebootcamp/177 - t.me/pythonspecialist/90 3. Books & Notes - https://t.me/dsabooks/99 - https://t.me/dsabooks/101 4. Python Interview Preparation - https://t.me/PythonInterviews - t.me/DataAnalystInterview/63 Join @free4unow_backup for more Python resources. Like this post if you want more content like this 😄❤️ ENJOY LEARNING 👍👍

𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝟯𝟬 𝗗𝗮𝘆𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀😍 Master SQL in 30 Days — With
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Java Basics every beginner should learn to build a strong foundation: 1. Hello World & Setup Install JDK and an IDE (like IntelliJ or Eclipse) Write your first program: public class HelloWorld 2. Data Types & Variables Primitive types: int, double, char, boolean Non-primitive types: String, Arrays, Objects Type casting (implicit & explicit) 3. Operators Arithmetic: + - * / % Comparison: == != > < >= <= Logical: && || ! 4. Control Flow If, else if, else Switch-case Loops: for, while, do-while break and continue 5. Functions (Methods) Syntax: public static returnType methodName(params) Method overloading Return types & parameter passing 6. Object-Oriented Programming (OOP) Classes & Objects this keyword Constructors (default & parameterized) 7. OOP Concepts Encapsulation (private variables + getters/setters) Inheritance (extends keyword) Polymorphism (method overriding) Abstraction (abstract classes & interfaces) 8. Arrays & ArrayList Declaring and iterating arrays ArrayList methods: add, remove, get, size Multidimensional arrays 9. Exception Handling Try-catch-finally blocks throw and throws Custom exceptions 10. Basic Input/Output Scanner class for user input System.out.println() for output Free Java Resources: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s ENJOY LEARNING 👍👍

Repost from Data Analytics
𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗵𝗲𝘀𝗲 𝟯 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟱😍 If
𝗠𝗮𝘀𝘁𝗲𝗿 𝗧𝗵𝗲𝘀𝗲 𝟯 𝗘𝘀𝘀𝗲𝗻𝘁𝗶𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗟𝗮𝗻𝗱 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗝𝗼𝗯 𝗶𝗻 𝟮𝟬𝟮𝟱😍 If you’re serious about becoming a Data Analyst in 2025, you need more than just basic theory👨‍💻 You must master skills that recruiters actually look for — skills that make you job-ready, confident, and in-demand🔥 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3RCPmiY All you need is dedication, practice, and the right resources — and I’ve got you covered!✅️

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