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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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Сітка:📈 Аналітичний огляд Telegram-каналу Programming Resources | Python | Javascript | Artificial Intelligence Updates | Computer Science Courses | AI Books
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 56 136 підписників, посідаючи 2 283 місце в категорії Технології та додатки та 6 099 місце у регіоні Індія.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 56 136 підписників.
За останніми даними від 29 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -86, а за останні 24 години на 0, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 1.79%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.70% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 1 007 переглядів. Протягом першої доби публікація в середньому набирає 395 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 2.
- 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 30 серпня, 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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Repost from Power BI & Tableau Resources
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗣𝗼𝘄𝗲𝗿𝗕𝗜 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍
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1. 📚 Learn basics of CS and programming.
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3. 🏆 Complete online courses and certifications.
4. 🛠️ Build a portfolio of projects.
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8. 🧠 Develop soft skills.
9. 📝 Prepare for interviews.
10. 💪 Stay persistent and positive! Good luck!
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Useful Run Commands Every Windows User Should Know
Press Win + R on your ⌨️ to open the Run dialog box and enter any of 👇 commands to access the respective tool.
🔹 "." - the user's folder.
🔹 ".." - user folder.
🔹 "control" - control panel.
🔹 "msconfig" - system configuration parameters.
🔹 "appwiz.cpl" - programs and components.
🔹 "cleanmgr" - a disk cleaning utility.
🔹 "resmon" - resource monitor.
🔹 "calc", "notepad", "mspaint" - calculator, notepad and paint.
🔹 "main.cpl" - mouse parameters.
🔹 "mstsc" - remote desktop.
🔹 "msinfo32" - system information.
🔹 wab - Contacts.
🔹 dccw - Display Color Calibration.
🔹 desk.cpl - Display Settings.
➡️ Give Reactions 🤟
𝗧𝗼𝗽 𝟱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗪𝗶𝘁𝗵 𝗦𝗼𝘂𝗿𝗰𝗲 𝗖𝗼𝗱𝗲 𝗧𝗵𝗮𝘁 𝗪𝗶𝗹𝗹 𝗜𝗻𝘀𝘁𝗮𝗻𝘁𝗹𝘆 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼😍
Tired of Theory? Start Building Real Projects That Get You Noticed📍
If you’re serious about data analytics, building hands-on projects is the best way to grow📊
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These projects are built to make you stand out✅️
+8
🖐 8 Super useful HTML tips & tricks that every Developer should know about
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.
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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😍
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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.
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 Digital Intelligence
3. BCG Generative AI
4. Data Analytics
𝗟𝗶𝗻𝗸:-👇
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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 👍👍
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👇:-
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You don’t need a fancy degree to master SQL—just this roadmap and daily consistency. Start slow, stay steady, and finish strong.✅️
Use cases of top programming languages
List of Top 12 Coding Channels on WhatsApp:
1. Python Programming:
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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 👍👍
Learn Python in 45 Days 👆
Python Interview Questions 👆
