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Coding Free Books | Python | AI

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

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Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertTarmoq:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT ExpertHindiston13 989TaΚΌlim6 268

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Coding Free Books | Python | AI (@codingwithsagar) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 30 849 obunachidan iborat bo'lib, TaΚΌlim toifasida 6 268-o'rinni va Hindiston mintaqasida 13 989-o'rinni egallagan.

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05 Iyun, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 259 ga, soβ€˜nggi 24 soatda esa 0 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Coding Free Books | Python | AI
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%}')  # 2.30%

x = .02375
print(f'{x:.2%}')  # 2.38% -- rounded off!

x = 1.02375
print(f'{x:.2%}')  # 102.38%
πŸ‘‰ @PythonRe

2
βœ… Step-by-Step Approach to Learn Programming πŸ’»πŸš€ ➊ Pick a Programming Language Start with beginner-friendly languages that are widely used and have lots of resources. βœ” Python – Great for beginners, versatile (web, data, automation) βœ” JavaScript – Perfect for web development βœ” C++ / Java – Ideal if you're targeting DSA or competitive programming Goal: Be comfortable with syntax, writing small programs, and using an IDE. βž‹ Learn Basic Programming Concepts Understand the foundational building blocks of coding: βœ” Variables, data types βœ” Input/output βœ” Loops (for, while) βœ” Conditional statements (if/else) βœ” Functions and scope βœ” Error handling Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn. ➌ Understand Data Structures & Algorithms (DSA) βœ” Arrays, Strings βœ” Linked Lists, Stacks, Queues βœ” Hash Maps, Sets βœ” Trees, Graphs βœ” Sorting & Searching βœ” Recursion, Greedy, Backtracking βœ” Dynamic Programming Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet. ➍ Practice Problem Solving Daily βœ” LeetCode (real interview Qs) βœ” HackerRank (step-by-step) βœ” Codeforces / AtCoder (competitive) Goal: Focus on logic, not just solutions. ➎ Build Mini Projects βœ” Calculator βœ” To-do list app βœ” Weather app (using APIs) βœ” Quiz app βœ” Rock-paper-scissors game Projects solidify your concepts. ➏ Learn Git & GitHub βœ” Initialize a repo βœ” Commit & push code βœ” Branch and merge βœ” Host projects on GitHub Must-have for collaboration. ➐ Learn Web Development Basics βœ” HTML – Structure βœ” CSS – Styling βœ” JavaScript – Interactivity Then explore: βœ” React.js βœ” Node.js + Express βœ” MongoDB / MySQL βž‘ Choose Your Career Path βœ” Web Dev (Frontend, Backend, Full Stack) βœ” App Dev (Flutter, Android) βœ” Data Science / ML βœ” DevOps / Cloud (AWS, Docker) βž’ Work on Real Projects & Internships βœ” Build a portfolio βœ” Clone real apps (Netflix UI, Amazon clone) βœ” Join hackathons βœ” Freelance or open source βœ” Apply for internships βž“ Stay Updated & Keep Improving βœ” Follow GitHub trends βœ” Dev YouTube channels (Fireship, etc.) βœ” Tech blogs (Dev.to, Medium) βœ” Communities (Discord, Reddit, X) 🎯 Remember: β€’ Consistency > Intensity β€’ Learn by building β€’ Debugging is learning β€’ 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 πŸ‘ React β™₯️ for more
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CVE | Cyber Vulnerabilities Exchange Group dedicated to sharing and discussing CVEs, zero-days, critical vulnerabilities, exp
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πŸ’» Collection of cheat sheets on SQL I've gathered for you short and understandable cheat sheets on the main topics: ▢️ Basics of the SQL language; ▢️ JOINs with clear examples; ▢️ Window functions; ▢️ 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 πŸš€ DSA MASTER TREE β”‚ β”œβ”€β”€ 1. Foundations β”‚ β”œβ”€β”€ What is Data Structure β”‚ β”œβ”€β”€ What is Algorithm β”‚ β”œβ”€β”€ Time Complexity β”‚ β”‚ β”œβ”€β”€ Big-O β”‚ β”‚ β”œβ”€β”€ Big-Ξ© β”‚ β”‚ └── Big-Θ β”‚ β”œβ”€β”€ Space Complexity β”‚ └── Recurrence Relations β”‚ β”œβ”€β”€ 2. Mathematical Basics β”‚ β”œβ”€β”€ Logarithms β”‚ β”œβ”€β”€ Modular Arithmetic β”‚ β”œβ”€β”€ Prime Numbers β”‚ β”œβ”€β”€ GCD / LCM β”‚ └── Sieve of Eratosthenes β”‚ β”œβ”€β”€ 3. Arrays β”‚ β”œβ”€β”€ Traversal β”‚ β”œβ”€β”€ Searching β”‚ β”‚ β”œβ”€β”€ Linear Search β”‚ β”‚ └── Binary Search β”‚ β”œβ”€β”€ Prefix Sum β”‚ β”œβ”€β”€ Sliding Window β”‚ β”œβ”€β”€ Two Pointers β”‚ β”œβ”€β”€ Kadane’s Algorithm β”‚ └── Matrix / 2D Arrays β”‚ β”œβ”€β”€ 4. Strings β”‚ β”œβ”€β”€ String Manipulation β”‚ β”œβ”€β”€ Pattern Matching β”‚ β”‚ β”œβ”€β”€ Naive β”‚ β”‚ β”œβ”€β”€ KMP β”‚ β”‚ β”œβ”€β”€ Rabin-Karp β”‚ β”‚ └── Z Algorithm β”‚ β”œβ”€β”€ Palindrome Problems β”‚ β”œβ”€β”€ String Hashing β”‚ └── Trie β”‚ β”œβ”€β”€ 5. Linked Lists β”‚ β”œβ”€β”€ Singly Linked List β”‚ β”œβ”€β”€ Doubly Linked List β”‚ β”œβ”€β”€ Circular Linked List β”‚ β”œβ”€β”€ Reverse Linked List β”‚ β”œβ”€β”€ Cycle Detection (Floyd) β”‚ └── Merge Lists β”‚ β”œβ”€β”€ 6. Stack β”‚ β”œβ”€β”€ Stack Implementation β”‚ β”œβ”€β”€ Balanced Parentheses β”‚ β”œβ”€β”€ Next Greater Element β”‚ β”œβ”€β”€ Monotonic Stack β”‚ └── Min Stack β”‚ β”œβ”€β”€ 7. Queue β”‚ β”œβ”€β”€ Queue Implementation β”‚ β”œβ”€β”€ Circular Queue β”‚ β”œβ”€β”€ Deque β”‚ β”œβ”€β”€ Priority Queue β”‚ └── Monotonic Queue β”‚ β”œβ”€β”€ 8. Hashing β”‚ β”œβ”€β”€ Hash Tables β”‚ β”œβ”€β”€ Collision Handling β”‚ β”‚ β”œβ”€β”€ Chaining β”‚ β”‚ └── Open Addressing β”‚ β”œβ”€β”€ Load Factor β”‚ └── Rehashing β”‚ β”œβ”€β”€ 9. Trees β”‚ β”œβ”€β”€ Binary Tree β”‚ β”‚ β”œβ”€β”€ Traversals β”‚ β”‚ β”‚ β”œβ”€β”€ Inorder β”‚ β”‚ β”‚ β”œβ”€β”€ Preorder β”‚ β”‚ β”‚ └── Postorder β”‚ β”‚ β”œβ”€β”€ Height / Depth β”‚ β”‚ └── Diameter β”‚ β”œβ”€β”€ Binary Search Tree β”‚ β”œβ”€β”€ AVL Tree β”‚ β”œβ”€β”€ Red-Black Tree β”‚ β”œβ”€β”€ Segment Tree β”‚ β”œβ”€β”€ Fenwick Tree β”‚ └── Heap β”‚ β”œβ”€β”€ Min Heap β”‚ └── Max Heap β”‚ β”œβ”€β”€ 10. Graphs β”‚ β”œβ”€β”€ Graph Representation β”‚ β”‚ β”œβ”€β”€ Adjacency Matrix β”‚ β”‚ └── Adjacency List β”‚ β”œβ”€β”€ BFS β”‚ β”œβ”€β”€ DFS β”‚ β”œβ”€β”€ Topological Sort β”‚ β”œβ”€β”€ Cycle Detection β”‚ β”œβ”€β”€ Shortest Path β”‚ β”‚ β”œβ”€β”€ Dijkstra β”‚ β”‚ β”œβ”€β”€ Bellman-Ford β”‚ β”‚ └── Floyd-Warshall β”‚ β”œβ”€β”€ Minimum Spanning Tree β”‚ β”‚ β”œβ”€β”€ Kruskal β”‚ β”‚ └── Prim β”‚ └── Disjoint Set (Union-Find) β”‚ β”œβ”€β”€ 11. Recursion & Backtracking β”‚ β”œβ”€β”€ Recursion Basics β”‚ β”œβ”€β”€ Subsets β”‚ β”œβ”€β”€ Permutations β”‚ β”œβ”€β”€ N-Queens β”‚ └── Sudoku Solver β”‚ β”œβ”€β”€ 12. Greedy Algorithms β”‚ β”œβ”€β”€ Activity Selection β”‚ β”œβ”€β”€ Huffman Coding β”‚ β”œβ”€β”€ Fractional Knapsack β”‚ └── Job Scheduling β”‚ β”œβ”€β”€ 13. Dynamic Programming β”‚ β”œβ”€β”€ Memoization β”‚ β”œβ”€β”€ Tabulation β”‚ β”œβ”€β”€ 1D DP β”‚ β”œβ”€β”€ 2D DP β”‚ β”œβ”€β”€ Knapsack Variants β”‚ β”œβ”€β”€ Longest Common Subsequence β”‚ β”œβ”€β”€ Longest Increasing Subsequence β”‚ └── Matrix Chain Multiplication β”‚ β”œβ”€β”€ 14. Bit Manipulation β”‚ β”œβ”€β”€ Bitwise Operators β”‚ β”œβ”€β”€ Set / Clear Bits β”‚ β”œβ”€β”€ Count Set Bits β”‚ └── XOR Tricks β”‚ β”œβ”€β”€ 15. Advanced DSA β”‚ β”œβ”€β”€ Sparse Table β”‚ β”œβ”€β”€ Heavy-Light Decomposition β”‚ β”œβ”€β”€ Treap β”‚ β”œβ”€β”€ Splay Tree β”‚ └── Skip List β”‚ └── 16. Interview Patterns β”œβ”€β”€ Two Pointer Pattern β”œβ”€β”€ Sliding Window Pattern β”œβ”€β”€ Binary Search Pattern β”œβ”€β”€ BFS / DFS Pattern β”œβ”€β”€ Greedy Choice Pattern └── DP Pattern Recognition
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πŸš€ New Edge for Polymarket Traders: Oracle Lag Sniper A high-performance, open-source strategy repo is making waves right now
πŸš€ 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. πŸ“ˆ Why it’s worth your attention: β€’ Exploits oracle timing inefficiencies β€’ Built for fast execution & precise entries β€’ Fully open-source, inspect, modify, and run it yourself πŸ”— 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 πŸ“Š Don’t just follow the market, get ahead of it.
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