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Coding Free Books | Python | AI

Coding Free Books | Python | AI

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Best Channel for Programmers and Hackers All in one channel to learn ๐Ÿ‘‡ 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun

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๐Ÿ“ˆ 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 30 847 subscribers, ranking 6 232 in the Education category and 13 394 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 30 847 subscribers.

According to the latest data from 25 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 64 over the last 30 days and by -14 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 4.75%. Within the first 24 hours after publication, content typically collects 1.13% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 466 views. Within the first day, a publication typically gains 350 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 8.
  • Thematic interests: Content is focused on key topics such as learning, link:-, css, algorithm, sql.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œBest Channel for Programmers and Hackers All in one channel to learn ๐Ÿ‘‡ 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 26 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.

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Channel Posts
๐Ÿ”ฐ Web Frameworks in Python
๐Ÿ”ฐ Web Frameworks in Python

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๐Ÿ’ป Software Engineer Roadmap ๐Ÿš€ ๐Ÿ“‚ Computer Fundamentals โˆŸ๐Ÿ“‚ Operating Systems (Processes, Threads, Memory, Scheduling) โˆŸ๐Ÿ“‚ Networking Basics (HTTP/HTTPS, TCP/IP, DNS, APIs) โˆŸ๐Ÿ“‚ DBMS (SQL, Indexing, Normalization, Transactions) โˆŸ๐Ÿ“‚ Git & Version Control (GitHub workflow) ๐Ÿ“‚ Programming Fundamentals โˆŸ๐Ÿ“‚ Language (Python / JavaScript / Java / C++) โˆŸ๐Ÿ“‚ Variables, Loops, Functions โˆŸ๐Ÿ“‚ OOP (Class, Object, Inheritance, Polymorphism) โˆŸ๐Ÿ“‚ Error Handling & Debugging ๐Ÿ“‚ Data Structures & Algorithms โˆŸ๐Ÿ“‚ Arrays, Strings, HashMap โˆŸ๐Ÿ“‚ Stack, Queue, Linked List โˆŸ๐Ÿ“‚ Trees, Graphs (Basics) โˆŸ๐Ÿ“‚ Recursion & Backtracking โˆŸ๐Ÿ“‚ Patterns (Sliding Window, Two Pointers, Binary Search, DFS/BFS) โˆŸ๐Ÿ“‚ Dynamic Programming (Basic) ๐Ÿ“‚ Development (Choose One Path) โˆŸ๐Ÿ“‚ Web Development ๐ŸŒ โ€ƒโˆŸ Frontend (HTML, CSS, JavaScript, React) โ€ƒโˆŸ Backend (Node.js / Django / FastAPI) โ€ƒโˆŸ Database (MongoDB / PostgreSQL) โ€ƒโˆŸ REST APIs + Authentication โˆŸ๐Ÿ“‚ Backend / Systems โš™๏ธ โ€ƒโˆŸ APIs & Microservices โ€ƒโˆŸ Databases (SQL + NoSQL) โ€ƒโˆŸ Caching (Redis) โ€ƒโˆŸ Message Queues (Kafka/RabbitMQ Basics) โˆŸ๐Ÿ“‚ AI / Data ๐Ÿค– โ€ƒโˆŸ Python (NumPy, Pandas) โ€ƒโˆŸ Machine Learning Basics โ€ƒโˆŸ APIs + AI Integration โ€ƒโˆŸ LLMs / RAG / AI Apps ๐Ÿ“‚ Tools & Development Skills โˆŸ๐Ÿ“‚ Git & GitHub โˆŸ๐Ÿ“‚ Linux Basics โˆŸ๐Ÿ“‚ VS Code / IDE โˆŸ๐Ÿ“‚ Postman (API Testing) โˆŸ๐Ÿ“‚ Docker (Basics) ๐Ÿ“‚ System Design (Basics โ†’ Advanced) โˆŸ๐Ÿ“‚ Scalability (Load Balancing, Caching) โˆŸ๐Ÿ“‚ Database Design โˆŸ๐Ÿ“‚ API Design โˆŸ๐Ÿ“‚ Real-world Systems (URL Shortener, Chat App) ๐Ÿ“‚ Projects (Very Important ๐Ÿ”ฅ) โˆŸ๐Ÿ“‚ Beginner (Calculator, CLI Apps) โˆŸ๐Ÿ“‚ Intermediate (CRUD App, Auth System) โˆŸ๐Ÿ“‚ Advanced (Full Stack App / SaaS / AI Tool) โˆŸ๐Ÿ“‚ Deploy Projects (Vercel / AWS / Render) ๐Ÿ“‚ Interview Preparation โˆŸ๐Ÿ“‚ DSA Practice (LeetCode) โˆŸ๐Ÿ“‚ Core Subjects Revision (OS, DBMS, CN) โˆŸ๐Ÿ“‚ Mock Interviews ๐Ÿ“‚ Portfolio & Resume โˆŸ๐Ÿ“‚ GitHub Projects โˆŸ๐Ÿ“‚ Personal Portfolio Website โˆŸ๐Ÿ“‚ Strong Resume (Project-focused) ๐Ÿ“‚ Job Preparation โˆŸ๐Ÿ“‚ Apply Daily (Internships + Jobs) โˆŸ๐Ÿ“‚ Cold DM + Networking โˆŸ๐Ÿ“‚ Build Online Presence (LinkedIn / Instagram) โˆŸโœ… Crack Interviews & Become Software Engineer ๐Ÿš€
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There's a floating-point number in Python and you need to output it as a percentage - use the % format in the f-string x = .0
There's a floating-point number in Python and you need to output it as a percentage - use the % format in the f-string x = .023 print(f'{x:.2%}')ย  # 2.30% x = .02375 print(f'{x:.2%}')ย  # 2.38% -- rounded off! x = 1.02375 print(f'{x:.2%}')ย  # 102.38% ๐Ÿ‘‰ @PythonRe
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โœ… Step-by-Step Approach to Learn Programming ๐Ÿ’ป๐Ÿš€ โžŠ Pick a Programming Language Start with beginner-friendly languages that are widely used and have lots of resources. โœ” Python โ€“ Great for beginners, versatile (web, data, automation) โœ” JavaScript โ€“ Perfect for web development โœ” C++ / Java โ€“ Ideal if you're targeting DSA or competitive programming Goal: Be comfortable with syntax, writing small programs, and using an IDE. โž‹ Learn Basic Programming Concepts Understand the foundational building blocks of coding: โœ” Variables, data types โœ” Input/output โœ” Loops (for, while) โœ” Conditional statements (if/else) โœ” Functions and scope โœ” Error handling Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn. โžŒ Understand Data Structures & Algorithms (DSA) โœ” Arrays, Strings โœ” Linked Lists, Stacks, Queues โœ” Hash Maps, Sets โœ” Trees, Graphs โœ” Sorting & Searching โœ” Recursion, Greedy, Backtracking โœ” Dynamic Programming Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet. โž Practice Problem Solving Daily โœ” LeetCode (real interview Qs) โœ” HackerRank (step-by-step) โœ” Codeforces / AtCoder (competitive) Goal: Focus on logic, not just solutions. โžŽ Build Mini Projects โœ” Calculator โœ” To-do list app โœ” Weather app (using APIs) โœ” Quiz app โœ” Rock-paper-scissors game Projects solidify your concepts. โž Learn Git & GitHub โœ” Initialize a repo โœ” Commit & push code โœ” Branch and merge โœ” Host projects on GitHub Must-have for collaboration. โž Learn Web Development Basics โœ” HTML โ€“ Structure โœ” CSS โ€“ Styling โœ” JavaScript โ€“ Interactivity Then explore: โœ” React.js โœ” Node.js + Express โœ” MongoDB / MySQL โž‘ Choose Your Career Path โœ” Web Dev (Frontend, Backend, Full Stack) โœ” App Dev (Flutter, Android) โœ” Data Science / ML โœ” DevOps / Cloud (AWS, Docker) โž’ Work on Real Projects & Internships โœ” Build a portfolio โœ” Clone real apps (Netflix UI, Amazon clone) โœ” Join hackathons โœ” Freelance or open source โœ” Apply for internships โž“ Stay Updated & Keep Improving โœ” Follow GitHub trends โœ” Dev YouTube channels (Fireship, etc.) โœ” Tech blogs (Dev.to, Medium) โœ” Communities (Discord, Reddit, X) ๐ŸŽฏ Remember: โ€ข Consistency > Intensity โ€ข Learn by building โ€ข Debugging is learning โ€ข Track progress weekly Useful WhatsApp Channels to Learn Programming Languages Python Programming: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L JavaScript: https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32 C++ Programming: https://whatsapp.com/channel/0029VbBAimF4dTnJLn3Vkd3M Java Programming: https://whatsapp.com/channel/0029VamdH5mHAdNMHMSBwg1s ๐Ÿ‘ React โ™ฅ๏ธ for more
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CVE | Cyber Vulnerabilities Exchange Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exp
CVE | Cyber Vulnerabilities Exchange Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exploits, PoCs, and technical analyses of offensive and defensive security. What you'll find here: โ€ข Newly disclosed CVEs โ€ข Public and private exploits โ€ข Technical analysis and bypasses โ€ข Offensive/defensive security โ€ข Penetration testing and red team discussions Technical, direct, and straightforward content. Channel=> https://t.me/cve0day Think. Break. Secure.
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๐Ÿ’ป Collection of cheat sheets on SQL I've gathered for you short and understandable cheat sheets on the main topics: โ–ถ๏ธ Basics of the SQL language; โ–ถ๏ธ JOINs with clear examples; โ–ถ๏ธ Window functions; โ–ถ๏ธ SQL for data analysis. An excellent set to refresh your knowledge before a job interview or quickly recall the syntax. tags: #sql #useful https://t.me/DataAnalyticsX
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Master DSA ๐Ÿš€ DSA MASTER TREE โ”‚ โ”œโ”€โ”€ 1. Foundations โ”‚ โ”œโ”€โ”€ What is Data Structure โ”‚ โ”œโ”€โ”€ What is Algorithm โ”‚ โ”œโ”€โ”€ Time Complexity โ”‚ โ”‚ โ”œโ”€โ”€ Big-O โ”‚ โ”‚ โ”œโ”€โ”€ Big-ฮฉ โ”‚ โ”‚ โ””โ”€โ”€ Big-ฮ˜ โ”‚ โ”œโ”€โ”€ Space Complexity โ”‚ โ””โ”€โ”€ Recurrence Relations โ”‚ โ”œโ”€โ”€ 2. Mathematical Basics โ”‚ โ”œโ”€โ”€ Logarithms โ”‚ โ”œโ”€โ”€ Modular Arithmetic โ”‚ โ”œโ”€โ”€ Prime Numbers โ”‚ โ”œโ”€โ”€ GCD / LCM โ”‚ โ””โ”€โ”€ Sieve of Eratosthenes โ”‚ โ”œโ”€โ”€ 3. Arrays โ”‚ โ”œโ”€โ”€ Traversal โ”‚ โ”œโ”€โ”€ Searching โ”‚ โ”‚ โ”œโ”€โ”€ Linear Search โ”‚ โ”‚ โ””โ”€โ”€ Binary Search โ”‚ โ”œโ”€โ”€ Prefix Sum โ”‚ โ”œโ”€โ”€ Sliding Window โ”‚ โ”œโ”€โ”€ Two Pointers โ”‚ โ”œโ”€โ”€ Kadaneโ€™s Algorithm โ”‚ โ””โ”€โ”€ Matrix / 2D Arrays โ”‚ โ”œโ”€โ”€ 4. Strings โ”‚ โ”œโ”€โ”€ String Manipulation โ”‚ โ”œโ”€โ”€ Pattern Matching โ”‚ โ”‚ โ”œโ”€โ”€ Naive โ”‚ โ”‚ โ”œโ”€โ”€ KMP โ”‚ โ”‚ โ”œโ”€โ”€ Rabin-Karp โ”‚ โ”‚ โ””โ”€โ”€ Z Algorithm โ”‚ โ”œโ”€โ”€ Palindrome Problems โ”‚ โ”œโ”€โ”€ String Hashing โ”‚ โ””โ”€โ”€ Trie โ”‚ โ”œโ”€โ”€ 5. Linked Lists โ”‚ โ”œโ”€โ”€ Singly Linked List โ”‚ โ”œโ”€โ”€ Doubly Linked List โ”‚ โ”œโ”€โ”€ Circular Linked List โ”‚ โ”œโ”€โ”€ Reverse Linked List โ”‚ โ”œโ”€โ”€ Cycle Detection (Floyd) โ”‚ โ””โ”€โ”€ Merge Lists โ”‚ โ”œโ”€โ”€ 6. Stack โ”‚ โ”œโ”€โ”€ Stack Implementation โ”‚ โ”œโ”€โ”€ Balanced Parentheses โ”‚ โ”œโ”€โ”€ Next Greater Element โ”‚ โ”œโ”€โ”€ Monotonic Stack โ”‚ โ””โ”€โ”€ Min Stack โ”‚ โ”œโ”€โ”€ 7. Queue โ”‚ โ”œโ”€โ”€ Queue Implementation โ”‚ โ”œโ”€โ”€ Circular Queue โ”‚ โ”œโ”€โ”€ Deque โ”‚ โ”œโ”€โ”€ Priority Queue โ”‚ โ””โ”€โ”€ Monotonic Queue โ”‚ โ”œโ”€โ”€ 8. Hashing โ”‚ โ”œโ”€โ”€ Hash Tables โ”‚ โ”œโ”€โ”€ Collision Handling โ”‚ โ”‚ โ”œโ”€โ”€ Chaining โ”‚ โ”‚ โ””โ”€โ”€ Open Addressing โ”‚ โ”œโ”€โ”€ Load Factor โ”‚ โ””โ”€โ”€ Rehashing โ”‚ โ”œโ”€โ”€ 9. Trees โ”‚ โ”œโ”€โ”€ Binary Tree โ”‚ โ”‚ โ”œโ”€โ”€ Traversals โ”‚ โ”‚ โ”‚ โ”œโ”€โ”€ Inorder โ”‚ โ”‚ โ”‚ โ”œโ”€โ”€ Preorder โ”‚ โ”‚ โ”‚ โ””โ”€โ”€ Postorder โ”‚ โ”‚ โ”œโ”€โ”€ Height / Depth โ”‚ โ”‚ โ””โ”€โ”€ Diameter โ”‚ โ”œโ”€โ”€ Binary Search Tree โ”‚ โ”œโ”€โ”€ AVL Tree โ”‚ โ”œโ”€โ”€ Red-Black Tree โ”‚ โ”œโ”€โ”€ Segment Tree โ”‚ โ”œโ”€โ”€ Fenwick Tree โ”‚ โ””โ”€โ”€ Heap โ”‚ โ”œโ”€โ”€ Min Heap โ”‚ โ””โ”€โ”€ Max Heap โ”‚ โ”œโ”€โ”€ 10. Graphs โ”‚ โ”œโ”€โ”€ Graph Representation โ”‚ โ”‚ โ”œโ”€โ”€ Adjacency Matrix โ”‚ โ”‚ โ””โ”€โ”€ Adjacency List โ”‚ โ”œโ”€โ”€ BFS โ”‚ โ”œโ”€โ”€ DFS โ”‚ โ”œโ”€โ”€ Topological Sort โ”‚ โ”œโ”€โ”€ Cycle Detection โ”‚ โ”œโ”€โ”€ Shortest Path โ”‚ โ”‚ โ”œโ”€โ”€ Dijkstra โ”‚ โ”‚ โ”œโ”€โ”€ Bellman-Ford โ”‚ โ”‚ โ””โ”€โ”€ Floyd-Warshall โ”‚ โ”œโ”€โ”€ Minimum Spanning Tree โ”‚ โ”‚ โ”œโ”€โ”€ Kruskal โ”‚ โ”‚ โ””โ”€โ”€ Prim โ”‚ โ””โ”€โ”€ Disjoint Set (Union-Find) โ”‚ โ”œโ”€โ”€ 11. Recursion & Backtracking โ”‚ โ”œโ”€โ”€ Recursion Basics โ”‚ โ”œโ”€โ”€ Subsets โ”‚ โ”œโ”€โ”€ Permutations โ”‚ โ”œโ”€โ”€ N-Queens โ”‚ โ””โ”€โ”€ Sudoku Solver โ”‚ โ”œโ”€โ”€ 12. Greedy Algorithms โ”‚ โ”œโ”€โ”€ Activity Selection โ”‚ โ”œโ”€โ”€ Huffman Coding โ”‚ โ”œโ”€โ”€ Fractional Knapsack โ”‚ โ””โ”€โ”€ Job Scheduling โ”‚ โ”œโ”€โ”€ 13. Dynamic Programming โ”‚ โ”œโ”€โ”€ Memoization โ”‚ โ”œโ”€โ”€ Tabulation โ”‚ โ”œโ”€โ”€ 1D DP โ”‚ โ”œโ”€โ”€ 2D DP โ”‚ โ”œโ”€โ”€ Knapsack Variants โ”‚ โ”œโ”€โ”€ Longest Common Subsequence โ”‚ โ”œโ”€โ”€ Longest Increasing Subsequence โ”‚ โ””โ”€โ”€ Matrix Chain Multiplication โ”‚ โ”œโ”€โ”€ 14. Bit Manipulation โ”‚ โ”œโ”€โ”€ Bitwise Operators โ”‚ โ”œโ”€โ”€ Set / Clear Bits โ”‚ โ”œโ”€โ”€ Count Set Bits โ”‚ โ””โ”€โ”€ XOR Tricks โ”‚ โ”œโ”€โ”€ 15. Advanced DSA โ”‚ โ”œโ”€โ”€ Sparse Table โ”‚ โ”œโ”€โ”€ Heavy-Light Decomposition โ”‚ โ”œโ”€โ”€ Treap โ”‚ โ”œโ”€โ”€ Splay Tree โ”‚ โ””โ”€โ”€ Skip List โ”‚ โ””โ”€โ”€ 16. Interview Patterns โ”œโ”€โ”€ Two Pointer Pattern โ”œโ”€โ”€ Sliding Window Pattern โ”œโ”€โ”€ Binary Search Pattern โ”œโ”€โ”€ BFS / DFS Pattern โ”œโ”€โ”€ Greedy Choice Pattern โ””โ”€โ”€ DP Pattern Recognition
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Introducing Python 2025.pdf
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๐Ÿš€ New Edge for Polymarket Traders: Oracle Lag Sniper A high-performance, open-source strategy repo is making waves right now
๐Ÿš€ New Edge for Polymarket Traders: Oracle Lag Sniper A high-performance, open-source strategy repo is making waves right now among serious Polymarket users: the Oracle Lag Sniper. ๐Ÿ“ˆ Why itโ€™s worth your attention: โ€ข Exploits oracle timing inefficiencies โ€ข Built for fast execution & precise entries โ€ข Fully open-source, inspect, modify, and run it yourself ๐Ÿ”— Check out the repo here: Oracle Lag Sniper GitHub Want more early signals like this, plus private insights and rising strategies to stay ahead of the curve? Subscribe to Polymarket Analytics for exclusive access: Polymarket Analytics Pricing ๐Ÿ“Š Donโ€™t just follow the market, get ahead of it.
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