Available now! Telegram Research 2025 โ the year's key insights 
Coding Free Books | Python | AI
Open in Telegram
Best Channel for Programmers and Hackers All in one channel to learn ๐ 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun
Show more๐ Analytical overview of Telegram channel Coding Free Books | Python | AI
Channel Coding Free Books | Python | AI (@codingwithsagar) in the English language segment is an active participant. Currently, the community unites 30 889 subscribers, ranking 6 259 in the Education category and 13 672 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 30 889 subscribers.
According to the latest data from 19 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 156 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 3.63%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 120 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 4.
- Thematic interests: Content is focused on key topics such as learning, link:-, css, algorithm, sql.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โBest Channel for Programmers and Hackers
All in one channel to learn
๐
1. Python
2. Ethical Hacking
3. Java
4. App development
5. Machine learning
6. Data structures
7. Algorithms
Promotions: @coderfunโ
Thanks to the high frequency of updates (latest data received on 20 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.
30 889
Subscribers
-1124 hours
+337 days
+15630 days
Posts Archive
Repost from Python for Data Analysts
๐ฑ ๐๐ฟ๐ฒ๐ฒ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐๐ถ๐ฐ๐ธ๐๐๐ฎ๐ฟ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ (๐ช๐ถ๐๐ต ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ฒ๐!)๐
Start Here โ With Zero Cost and Maximum Value!๐ฐ๐
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๐๐ข๐ง๐ค๐:-
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A great starting point if youโre brand new to the fieldโ
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
๐ฏ ๐๐ฟ๐ฒ๐ฒ ๐ข๐ฟ๐ฎ๐ฐ๐น๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐๐๐๐ฟ๐ฒ-๐ฃ๐ฟ๐ผ๐ผ๐ณ ๐ฌ๐ผ๐๐ฟ ๐ง๐ฒ๐ฐ๐ต ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
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๏ธ
๐ง Technologies for Data Science, Machine Learning & AI!
๐ Data Science
โช๏ธ Python โ The go-to language for Data Science
โช๏ธ R โ Statistical Computing and Graphics
โช๏ธ Pandas โ Data Manipulation & Analysis
โช๏ธ NumPy โ Numerical Computing
โช๏ธ Matplotlib / Seaborn โ Data Visualization
โช๏ธ Jupyter Notebooks โ Interactive Development Environment
๐ค Machine Learning
โช๏ธ Scikit-learn โ Classical ML Algorithms
โช๏ธ TensorFlow โ Deep Learning Framework
โช๏ธ Keras โ High-Level Neural Networks API
โช๏ธ PyTorch โ Deep Learning with Dynamic Computation
โช๏ธ XGBoost โ High-Performance Gradient Boosting
โช๏ธ LightGBM โ Fast, Distributed Gradient Boosting
๐ง Artificial Intelligence
โช๏ธ OpenAI GPT โ Natural Language Processing
โช๏ธ Transformers (Hugging Face) โ Pretrained Models for NLP
โช๏ธ spaCy โ Industrial-Strength NLP
โช๏ธ NLTK โ Natural Language Toolkit
โช๏ธ Computer Vision (OpenCV) โ Image Processing & Object Detection
โช๏ธ YOLO (You Only Look Once) โ Real-Time Object Detection
๐พ Data Storage & Databases
โช๏ธ SQL โ Structured Query Language for Databases
โช๏ธ MongoDB โ NoSQL, Flexible Data Storage
โช๏ธ BigQuery โ Googleโs Data Warehouse for Large Scale Data
โช๏ธ Apache Hadoop โ Distributed Storage and Processing
โช๏ธ Apache Spark โ Big Data Processing & ML
๐ Data Engineering & Deployment
โช๏ธ Apache Airflow โ Workflow Automation & Scheduling
โช๏ธ Docker โ Containerization for ML Models
โช๏ธ Kubernetes โ Container Orchestration
โช๏ธ AWS Sagemaker / Google AI Platform โ Cloud ML Model Deployment
โช๏ธ Flask / FastAPI โ APIs for ML Models
๐ง Tools & Libraries for Automation & Experimentation
โช๏ธ MLflow โ Tracking ML Experiments
โช๏ธ TensorBoard โ Visualization for TensorFlow Models
โช๏ธ DVC (Data Version Control) โ Versioning for Data & Models
React โค๏ธ for more
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
๐ ๐ฎ๐๐๐ฒ๐ฟ ๐ฆ๐ค๐ ๐ณ๐ผ๐ฟ ๐๐ฟ๐ฒ๐ฒ: ๐ง๐ผ๐ฝ ๐ฐ ๐ฅ๐ฒ๐๐ผ๐๐ฟ๐ฐ๐ฒ๐ ๐๐ผ ๐๐ถ๐ฐ๐ธ๐๐๐ฎ๐ฟ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด ๐๐ผ๐๐ฟ๐ป๐ฒ๐๐
SQL is an essential skill for data professionals, and you can master it without paying a dime๐จโ๐ป๐
These top resources will take you from the basics to advanced concepts, helping you build the confidence to handle data like a pro๐จโ๐
๐๐ข๐ง๐ค๐:-
https://bit.ly/3ZMabNS
Let me know which resource youโll try first!โ
๏ธ
Web Development Essentials to build modern, responsive websites:
1. HTML (Structure)
Tags, Elements, and Attributes
Headings, Paragraphs, Lists
Forms, Inputs, Buttons
Images, Videos, Links
Semantic HTML: <header>, <nav>, <main>, <footer>
2. CSS (Styling)
Selectors, Properties, and Values
Box Model (margin, padding, border)
Flexbox & Grid Layout
Positioning (static, relative, absolute, fixed, sticky)
Media Queries (Responsive Design)
3. JavaScript (Interactivity)
Variables, Data Types, Operators
Functions, Conditionals, Loops
DOM Manipulation (getElementById, addEventListener)
Events (click, submit, change)
Arrays & Objects
4. Version Control (Git & GitHub)
Initialize repository, clone, commit, push, pull
Branching and merge conflicts
Hosting code on GitHub
5. Responsive Design
Mobile-first approach
Viewport meta tag
Flexbox and CSS Grid for layouts
Using relative units (%, em, rem)
6. Browser Dev Tools
Inspect elements
Console for debugging JavaScript
Network tab for API requests
7. Basic SEO & Accessibility
Title tags, meta descriptions
Alt attributes for images
Proper use of semantic tags
8. Deployment
Hosting on GitHub Pages, Netlify, or Vercel
Domain name basics
Continuous deployment setup
Web Development Resources โฌ๏ธ
https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
React with โค๏ธ for the detailed explanation
Repost from Python for Data Analysts
๐ณ+ ๐๐ฟ๐ฒ๐ฒ ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐๐ผ ๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ๐
Hereโs your golden chance to upskill with free, industry-recognized certifications from Googleโall without spending a rupee!๐ฐ๐
These beginner-friendly courses cover everything from digital marketing to data tools like Google Ads, Analytics, and moreโฌ๏ธ
๐๐ข๐ง๐ค๐:-
https://pdlink.in/3H2YJX7
Tag them or share this post!โ
๏ธ
Web Development โ Essential Topics ๐
1๏ธโฃ HTML & CSS
Semantic HTML elements
CSS Flexbox & Grid for layout
Responsive design with media queries
2๏ธโฃ JavaScript Fundamentals
ES6+ features (let, const, arrow functions, spread/rest operators)
DOM manipulation and event handling
Asynchronous JavaScript (Promises, async/await)
3๏ธโฃ Frontend Frameworks & Libraries
React.js, Vue.js, or Angular
State management (Redux, Vuex)
Component-based architecture
4๏ธโฃ Backend Development
Server-side languages (Node.js, Python, PHP)
RESTful APIs & GraphQL
Authentication & Authorization (JWT, OAuth)
5๏ธโฃ Databases & Storage
SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Firebase)
Database design and normalization
CRUD operations and indexing
6๏ธโฃ Version Control & Deployment
Git & GitHub for collaboration
CI/CD pipelines (GitHub Actions, Jenkins)
Hosting & deployment (Vercel, Netlify, AWS, Heroku)
7๏ธโฃ Performance Optimization & Security
Lazy loading & caching techniques
Web security best practices (XSS, CSRF, CORS)
HTTPS, SSL, and Content Security Policy
8๏ธโฃ Progressive Web Apps (PWAs) & Web3
Service workers & offline support
Web3 integration with blockchain & smart contracts
Decentralized applications (DApps)
Free Web Development Resources: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z
ENJOY LEARNING ๐๐
Repost from Data Analytics
๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ ๐๐ฅ๐๐ ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป๐ ๐
Learn directly from industry leaders at Microsoft and LinkedIn Learning and gain in-demand skills to elevate your career
๐ Donโt miss this chance to build your skills, earn certifications, and get job-readyโall for free.
๐๐ข๐ง๐ค๐:-
https://pdlink.in/41ODJMi
Enroll for FREE & Get Certified ๐
Back-end developer:
โ๐ Server-side coding (Python, Java, PHP, NodeJs, Go, .Net)
โ๐ Databases (SQL or NoSQL)
โ๐ APIs and web services
โ๐ Security and authentication
โ๐ Caching and performance tuning
โ๐ Scalability and load balancing
โ๐ Deployment and DevOps
Repost from Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
๐๐ผ๐ผ๐๐ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐๐ฎ ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐๐ถ๐๐ ๐๐ถ๐๐ต ๐ง๐ต๐ถ๐ ๐๐ ๐ง๐ผ๐ผ๐น ๐๐๐ฒ๐ฟ๐ ๐๐ป๐ฎ๐น๐๐๐ ๐ก๐ฒ๐ฒ๐ฑ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ!๐
Tired of Wasting Hours on SQL, Cleaning & Dashboards? Meet Your New Data Assistant!๐ฃ๐
If youโre a data analyst, BI developer, or even a student, you know the pain of spending hoursโฐ๏ธ
๐๐ข๐ง๐ค๐:-
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Just smart automation that gives you time to focus on strategic decisions and storytellingโ
๏ธ
Coding isn't easy!
Itโs the art of turning ideas into functional, impactful software that shapes the world around us.
To truly excel in coding, focus on these key areas:
0. Understanding the Basics: Learn the syntax, variables, loops, and conditionals in your chosen programming language. These are the building blocks of coding.
1. Mastering Data Structures and Algorithms: These are the backbone of efficient, scalable, and optimized code.
2. Learning Debugging Techniques: Understand how to identify and fix errors in your code using tools and logical thinking.
3. Writing Clean Code: Follow best practices like commenting, indentation, and naming conventions to make your code readable and maintainable.
4. Building Real-World Projects: Hands-on experience is essential. Apply what you learn by building applications, games, or automation scripts.
5. Collaborating with Git: Master version control to work effectively in teams and manage your codebase.
6. Exploring Frameworks and Libraries: Learn to use tools that simplify coding and add functionality to your projects.
7. Understanding Problem-Solving: Focus on logical thinking and breaking down problems into smaller, manageable parts.
8. Adapting to New Technologies: Stay curious and keep learning new languages, paradigms, and tools as they emerge.
9. Practicing Consistently: Coding is a skill that improves with regular practice and perseverance.
๐ก Embrace the process, learn from your mistakes, and keep pushing your limits to grow as a developer.
Best Programming Resources: https://topmate.io/coding/886839
ENJOY LEARNING ๐๐
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
๐ฒ ๐๐ฅ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ ๐๐๐๐๐ฟ๐ฒ-๐ฃ๐ฟ๐ผ๐ผ๐ณ ๐ฆ๐ธ๐ถ๐น๐น๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
Want to Stay Ahead in 2025? Learn These 6 In-Demand Skills for FREE!๐
The future of work is evolving fast, and mastering the right skills today can set you up for big success tomorrow๐ฏ
๐๐ข๐ง๐ค๐:-
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Enjoy Learning โ
๏ธ
๐ฏ๐ฌ+ ๐๐ฟ๐ฒ๐ฒ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฒ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐ฏ๐ ๐๐ฃ ๐๐๐๐ ๐๐ผ ๐ฆ๐๐ฝ๐ฒ๐ฟ๐ฐ๐ต๐ฎ๐ฟ๐ด๐ฒ ๐ฌ๐ผ๐๐ฟ ๐๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ๐
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List of most asked Programming Interview Questions.
Are you preparing for a coding interview? This tweet is for you. It contains a list of the most asked interview questions from each topic.
Arrays
- How is an array sorted using quicksort?
- How do you reverse an array?
- How do you remove duplicates from an array?
- How do you find the 2nd largest number in an unsorted integer array?
Linked Lists
- How do you find the length of a linked list?
- How do you reverse a linked list?
- How do you find the third node from the end?
- How are duplicate nodes removed in an unsorted linked list?
Strings
- How do you check if a string contains only digits?
- How can a given string be reversed?
- How do you find the first non-repeated character?
- How do you find duplicate characters in strings?
Binary Trees
- How are all leaves of a binary tree printed?
- How do you check if a tree is a binary search tree?
- How is a binary search tree implemented?
- Find the lowest common ancestor in a binary tree?
Graph
- How to detect a cycle in a directed graph?
- How to detect a cycle in an undirected graph?
- Find the total number of strongly connected components?
- Find whether a path exists between two nodes of a graph?
- Find the minimum number of swaps required to sort an array.
Dynamic Programming
1. Find the longest common subsequence?
2. Find the longest common substring?
3. Coin change problem?
4. Box stacking problem?
5. Count the number of ways to cover a distance?
Repost from AI Prompts | ChatGPT | Google Gemini | Claude
๐๐ฟ๐ฒ๐ฒ ๐ ๐ถ๐ฐ๐ฟ๐ผ๐๐ผ๐ณ๐ & ๐๐ถ๐ป๐ธ๐ฒ๐ฑ๐๐ป ๐๐ ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ ๐๐ฎ๐ป๐ฑ ๐ง๐ผ๐ฝ ๐๐ผ๐ฏ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ๐
Start your journey with this FREE Generative AI course offered by Microsoft and LinkedIn.
Itโs part of their Career Essentials program designed to make you job-ready with real-world AI skills.
๐๐ข๐ง๐ค๐:-
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This certification will boost your resumeโ
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Repost from Coding Interview Resources
๐๐ถ๐๐ฐ๐ผ ๐๐ฅ๐๐ ๐ฃ๐ฟ๐ผ๐ณ๐ฒ๐๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐๐ผ๐๐ฟ๐๐ฒ๐ ๐
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