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Kanal postlari

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%

👉 @PythonRe

2	✅ Step-by-Step Approach to Learn Programming 💻🚀 ➊ Pick a Programming Language Start with beginner-friendly languages that are widely used and have lots of resources. ✔ Python – Great for beginners, versatile (web, data, automation) ✔ JavaScript – Perfect for web development ✔ C++ / Java – Ideal if you're targeting DSA or competitive programming Goal: Be comfortable with syntax, writing small programs, and using an IDE. ➋ Learn Basic Programming Concepts Understand the foundational building blocks of coding: ✔ Variables, data types ✔ Input/output ✔ Loops (for, while) ✔ Conditional statements (if/else) ✔ Functions and scope ✔ Error handling Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn. ➌ Understand Data Structures & Algorithms (DSA) ✔ Arrays, Strings ✔ Linked Lists, Stacks, Queues ✔ Hash Maps, Sets ✔ Trees, Graphs ✔ Sorting & Searching ✔ Recursion, Greedy, Backtracking ✔ Dynamic Programming Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet. ➍ Practice Problem Solving Daily ✔ LeetCode (real interview Qs) ✔ HackerRank (step-by-step) ✔ Codeforces / AtCoder (competitive) Goal: Focus on logic, not just solutions. ➎ Build Mini Projects ✔ Calculator ✔ To-do list app ✔ Weather app (using APIs) ✔ Quiz app ✔ Rock-paper-scissors game Projects solidify your concepts. ➏ Learn Git & GitHub ✔ Initialize a repo ✔ Commit & push code ✔ Branch and merge ✔ Host projects on GitHub Must-have for collaboration. ➐ Learn Web Development Basics ✔ HTML – Structure ✔ CSS – Styling ✔ JavaScript – Interactivity Then explore: ✔ React.js ✔ Node.js + Express ✔ MongoDB / MySQL ➑ Choose Your Career Path ✔ Web Dev (Frontend, Backend, Full Stack) ✔ App Dev (Flutter, Android) ✔ Data Science / ML ✔ DevOps / Cloud (AWS, Docker) ➒ Work on Real Projects & Internships ✔ Build a portfolio ✔ Clone real apps (Netflix UI, Amazon clone) ✔ Join hackathons ✔ Freelance or open source ✔ Apply for internships ➓ Stay Updated & Keep Improving ✔ Follow GitHub trends ✔ Dev YouTube channels (Fireship, etc.) ✔ Tech blogs (Dev.to, Medium) ✔ Communities (Discord, Reddit, X) 🎯 Remember: • Consistency > Intensity • Learn by building • Debugging is learning • 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 👍 React ♥️ for more	1 275
3	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: • Newly disclosed CVEs • Public and private exploits • Technical analysis and bypasses • Offensive/defensive security • Penetration testing and red team discussions Technical, direct, and straightforward content. Channel=> https://t.me/cve0day Think. Break. Secure.	0
4	+3 💻 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	0
5	Master DSA 🚀 DSA MASTER TREE │ ├── 1. Foundations │ ├── What is Data Structure │ ├── What is Algorithm │ ├── Time Complexity │ │ ├── Big-O │ │ ├── Big-Ω │ │ └── Big-Θ │ ├── Space Complexity │ └── Recurrence Relations │ ├── 2. Mathematical Basics │ ├── Logarithms │ ├── Modular Arithmetic │ ├── Prime Numbers │ ├── GCD / LCM │ └── Sieve of Eratosthenes │ ├── 3. Arrays │ ├── Traversal │ ├── Searching │ │ ├── Linear Search │ │ └── Binary Search │ ├── Prefix Sum │ ├── Sliding Window │ ├── Two Pointers │ ├── Kadane’s Algorithm │ └── Matrix / 2D Arrays │ ├── 4. Strings │ ├── String Manipulation │ ├── Pattern Matching │ │ ├── Naive │ │ ├── KMP │ │ ├── Rabin-Karp │ │ └── Z Algorithm │ ├── Palindrome Problems │ ├── String Hashing │ └── Trie │ ├── 5. Linked Lists │ ├── Singly Linked List │ ├── Doubly Linked List │ ├── Circular Linked List │ ├── Reverse Linked List │ ├── Cycle Detection (Floyd) │ └── Merge Lists │ ├── 6. Stack │ ├── Stack Implementation │ ├── Balanced Parentheses │ ├── Next Greater Element │ ├── Monotonic Stack │ └── Min Stack │ ├── 7. Queue │ ├── Queue Implementation │ ├── Circular Queue │ ├── Deque │ ├── Priority Queue │ └── Monotonic Queue │ ├── 8. Hashing │ ├── Hash Tables │ ├── Collision Handling │ │ ├── Chaining │ │ └── Open Addressing │ ├── Load Factor │ └── Rehashing │ ├── 9. Trees │ ├── Binary Tree │ │ ├── Traversals │ │ │ ├── Inorder │ │ │ ├── Preorder │ │ │ └── Postorder │ │ ├── Height / Depth │ │ └── Diameter │ ├── Binary Search Tree │ ├── AVL Tree │ ├── Red-Black Tree │ ├── Segment Tree │ ├── Fenwick Tree │ └── Heap │ ├── Min Heap │ └── Max Heap │ ├── 10. Graphs │ ├── Graph Representation │ │ ├── Adjacency Matrix │ │ └── Adjacency List │ ├── BFS │ ├── DFS │ ├── Topological Sort │ ├── Cycle Detection │ ├── Shortest Path │ │ ├── Dijkstra │ │ ├── Bellman-Ford │ │ └── Floyd-Warshall │ ├── Minimum Spanning Tree │ │ ├── Kruskal │ │ └── Prim │ └── Disjoint Set (Union-Find) │ ├── 11. Recursion & Backtracking │ ├── Recursion Basics │ ├── Subsets │ ├── Permutations │ ├── N-Queens │ └── Sudoku Solver │ ├── 12. Greedy Algorithms │ ├── Activity Selection │ ├── Huffman Coding │ ├── Fractional Knapsack │ └── Job Scheduling │ ├── 13. Dynamic Programming │ ├── Memoization │ ├── Tabulation │ ├── 1D DP │ ├── 2D DP │ ├── Knapsack Variants │ ├── Longest Common Subsequence │ ├── Longest Increasing Subsequence │ └── Matrix Chain Multiplication │ ├── 14. Bit Manipulation │ ├── Bitwise Operators │ ├── Set / Clear Bits │ ├── Count Set Bits │ └── XOR Tricks │ ├── 15. Advanced DSA │ ├── Sparse Table │ ├── Heavy-Light Decomposition │ ├── Treap │ ├── Splay Tree │ └── Skip List │ └── 16. Interview Patterns ├── Two Pointer Pattern ├── Sliding Window Pattern ├── Binary Search Pattern ├── BFS / DFS Pattern ├── Greedy Choice Pattern └── DP Pattern Recognition	0
6	+4 Introducing Python 2025.pdf	0
7	🚀 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. 📈 Why it’s worth your attention: • Exploits oracle timing inefficiencies • Built for fast execution & precise entries • Fully open-source, inspect, modify, and run it yourself 🔗 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 📊 Don’t just follow the market, get ahead of it.	0
8	http codes list.pdf	0

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