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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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Канал Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books (@programming_guide) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 56 118 підписників, посідаючи 2 374 місце в категорії Технології та додатки та 6 527 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 56 118 підписників.

За останніми даними від 10 червня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 89, а за останні 24 години на 1, загальне охоплення залишається високим.

Статус верифікації: Не верифікований
Рівень залученості (ER): Середній показник залученості аудиторії становить 2.65%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.87% реакцій від загальної кількості підписників.
Охоплення публікацій: В середньому кожен допис отримує 1 485 переглядів. Протягом першої доби публікація в середньому набирає 488 переглядів.
Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 4.
Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як algorithm, structure, stack, javascript, programming.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Everything about programming for beginners * Python programming * Java programming * App development * Machine Learning * Data Science Managed by: @love_data”

Завдяки високій частоті оновлень (останні дані отримано 11 червня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.

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Підписники

+124 години

+317 днів

+8930 день

1 485

Перегляди допису

~ 48824 години

~ 70648 годин

2.65%

Коефіцієнт залучення

~ 1

Дописів на день

Ads index

beta

Архів дописів

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

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Repost from Artificial Intelligence

𝟲 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 Whether you’re a student, aspiring data analyst, software enthusiast, or just curious about AI, now’s the perfect time to dive in. These 6 beginner-friendly and completely free AI courses from top institutions like Google, IBM, Harvard, and more 𝗟𝗶𝗻𝗸:-👇 https://pdlink.in/4d0SrTG Enroll for FREE & Get Certified 🎓

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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.

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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 🎓

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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.

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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 👍👍

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Repost from Data Analyst Jobs

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 🎓

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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 👍👍

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𝗠𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟 𝗶𝗻 𝟯𝟬 𝗗𝗮𝘆𝘀 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝟭𝟬𝟬% 𝗙𝗿𝗲𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀😍 Master SQL in 30 Days — Without Spending a Single Rupee!💰 If you’re serious about data analysis, backend development, or becoming job-ready in tech, SQL is a must-have skill📊👨‍💻 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3GyIbpL You don’t need a fancy degree to master SQL—just this roadmap and daily consistency. Start slow, stay steady, and finish strong.✅️

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Use cases of top programming languages

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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 👍👍

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Learn Python in 45 Days 👆

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Python Interview Questions 👆

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HTML cheatsheet🔥🚀...

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Repost from Data Analytics

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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Python Cheat sheet

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