اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
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| تاریخ | رشد مشترکین | اشارات | کانالها | |
| 03 ژوئن | +8 | |||
| 02 ژوئن | +3 | |||
| 01 ژوئن | +3 |
پستهای کانال
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%| 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 | 1 225 |
| 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. | 1 624 |
| 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 | 2 109 |
| 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 | 1 852 |
| 6 | +4 Introducing Python 2025.pdf | 1 718 |
| 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:
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📊 Don’t just follow the market, get ahead of it. | 1 816 |
| 8 | http codes list.pdf | 2 644 |
