Coding Free Books | Python | AI
Best Channel for Programmers and Hackers All in one channel to learn 👇 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام Coding Free Books | Python | AI
تُعد قناة Coding Free Books | Python | AI (@codingwithsagar) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 30 849 مشتركاً، محتلاً المرتبة 6 275 في فئة التعليم والمرتبة 14 061 في منطقة الهند.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 30 849 مشتركاً.
بحسب آخر البيانات بتاريخ 04 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 270، وفي آخر 24 ساعة بمقدار 6، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 4.13%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.99% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 1 275 مشاهدة. وخلال اليوم الأول يجمع عادةً 305 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 11.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل learning, link:-, css, algorithm, sql.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“Best Channel for Programmers and Hackers
All in one channel to learn
👇
1. Python
2. Ethical Hacking
3. Java
4. App development
5. Machine learning
6. Data structures
7. Algorithms
Promotions: @coderfun”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 05 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.
جاري تحميل البيانات...
| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 04 يونيو | +8 | |||
| 03 يونيو | +8 | |||
| 02 يونيو | +3 | |||
| 01 يونيو | +3 |
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
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Polymarket Analytics Pricing
📊 Don’t just follow the market, get ahead of it. | 0 |
| 8 | http codes list.pdf | 0 |
متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
