Coding Free Books | Python | AI
Best Channel for Programmers and Hackers All in one channel to learn π 1. Python 2. Ethical Hacking 3. Java 4. App development 5. Machine learning 6. Data structures 7. Algorithms Promotions: @coderfun
Show moreπ 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 30 855 subscribers, ranking 6 268 in the Education category and 13 989 in the India region.
π Audience metrics and dynamics
Since its creation on Π½Π΅Π²ΡΠ΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 30 855 subscribers.
According to the latest data from 05 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 259 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 4.13%. Within the first 24 hours after publication, content typically collects 0.99% reactions from the total number of subscribers.
- Post reach: On average, each post receives 1 275 views. Within the first day, a publication typically gains 305 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 11.
- Thematic interests: Content is focused on key topics such as learning, link:-, css, algorithm, sql.
π Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
βBest Channel for Programmers and Hackers
All in one channel to learn
π
1. Python
2. Ethical Hacking
3. Java
4. App development
5. Machine learning
6. Data structures
7. Algorithms
Promotions: @coderfunβ
Thanks to the high frequency of updates (latest data received on 06 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.
Data loading in progress...
| Date | Subscriber Growth | Mentions | Channels | |
| 04 June | +8 | |||
| 03 June | +8 | |||
| 02 June | +3 | |||
| 01 June | +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%
π @PythonRe| 2 | β
Step-by-Step Approach to Learn Programming π»π
β Pick a Programming Language
Start with beginner-friendly languages that are widely used and have lots of resources.
β Python β Great for beginners, versatile (web, data, automation)
β JavaScript β Perfect for web development
β C++ / Java β Ideal if you're targeting DSA or competitive programming
Goal: Be comfortable with syntax, writing small programs, and using an IDE.
β Learn Basic Programming Concepts
Understand the foundational building blocks of coding:
β Variables, data types
β Input/output
β Loops (for, while)
β Conditional statements (if/else)
β Functions and scope
β Error handling
Tip: Use visual platforms like W3Schools, freeCodeCamp, or Sololearn.
β Understand Data Structures & Algorithms (DSA)
β Arrays, Strings
β Linked Lists, Stacks, Queues
β Hash Maps, Sets
β Trees, Graphs
β Sorting & Searching
β Recursion, Greedy, Backtracking
β Dynamic Programming
Use GeeksforGeeks, NeetCode, or Striver's DSA Sheet.
β Practice Problem Solving Daily
β LeetCode (real interview Qs)
β HackerRank (step-by-step)
β Codeforces / AtCoder (competitive)
Goal: Focus on logic, not just solutions.
β Build Mini Projects
β Calculator
β To-do list app
β Weather app (using APIs)
β Quiz app
β Rock-paper-scissors game
Projects solidify your concepts.
β Learn Git & GitHub
β Initialize a repo
β Commit & push code
β Branch and merge
β Host projects on GitHub
Must-have for collaboration.
β Learn Web Development Basics
β HTML β Structure
β CSS β Styling
β JavaScript β Interactivity
Then explore:
β React.js
β Node.js + Express
β MongoDB / MySQL
β Choose Your Career Path
β Web Dev (Frontend, Backend, Full Stack)
β App Dev (Flutter, Android)
β Data Science / ML
β DevOps / Cloud (AWS, Docker)
β Work on Real Projects & Internships
β Build a portfolio
β Clone real apps (Netflix UI, Amazon clone)
β Join hackathons
β Freelance or open source
β Apply for internships
β Stay Updated & Keep Improving
β Follow GitHub trends
β Dev YouTube channels (Fireship, etc.)
β Tech blogs (Dev.to, Medium)
β Communities (Discord, Reddit, X)
π― 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
π React β₯οΈ 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:
β’ Newly disclosed CVEs
β’ Public and private exploits
β’ Technical analysis and bypasses
β’ Offensive/defensive security
β’ Penetration testing and red team discussions
Technical, direct, and straightforward content.
Channel=> https://t.me/cve0day
Think. Break. Secure. | 0 |
| 4 | +3 π» Collection of cheat sheets on SQL
I've gathered for you short and understandable cheat sheets on the main topics:
βΆοΈ Basics of the SQL language;
βΆοΈ JOINs with clear examples;
βΆοΈ Window functions;
βΆοΈ 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 π
DSA MASTER TREE
β
βββ 1. Foundations
β βββ What is Data Structure
β βββ What is Algorithm
β βββ Time Complexity
β β βββ Big-O
β β βββ Big-Ξ©
β β βββ Big-Ξ
β βββ Space Complexity
β βββ Recurrence Relations
β
βββ 2. Mathematical Basics
β βββ Logarithms
β βββ Modular Arithmetic
β βββ Prime Numbers
β βββ GCD / LCM
β βββ Sieve of Eratosthenes
β
βββ 3. Arrays
β βββ Traversal
β βββ Searching
β β βββ Linear Search
β β βββ Binary Search
β βββ Prefix Sum
β βββ Sliding Window
β βββ Two Pointers
β βββ Kadaneβs Algorithm
β βββ Matrix / 2D Arrays
β
βββ 4. Strings
β βββ String Manipulation
β βββ Pattern Matching
β β βββ Naive
β β βββ KMP
β β βββ Rabin-Karp
β β βββ Z Algorithm
β βββ Palindrome Problems
β βββ String Hashing
β βββ Trie
β
βββ 5. Linked Lists
β βββ Singly Linked List
β βββ Doubly Linked List
β βββ Circular Linked List
β βββ Reverse Linked List
β βββ Cycle Detection (Floyd)
β βββ Merge Lists
β
βββ 6. Stack
β βββ Stack Implementation
β βββ Balanced Parentheses
β βββ Next Greater Element
β βββ Monotonic Stack
β βββ Min Stack
β
βββ 7. Queue
β βββ Queue Implementation
β βββ Circular Queue
β βββ Deque
β βββ Priority Queue
β βββ Monotonic Queue
β
βββ 8. Hashing
β βββ Hash Tables
β βββ Collision Handling
β β βββ Chaining
β β βββ Open Addressing
β βββ Load Factor
β βββ Rehashing
β
βββ 9. Trees
β βββ Binary Tree
β β βββ Traversals
β β β βββ Inorder
β β β βββ Preorder
β β β βββ Postorder
β β βββ Height / Depth
β β βββ Diameter
β βββ Binary Search Tree
β βββ AVL Tree
β βββ Red-Black Tree
β βββ Segment Tree
β βββ Fenwick Tree
β βββ Heap
β βββ Min Heap
β βββ Max Heap
β
βββ 10. Graphs
β βββ Graph Representation
β β βββ Adjacency Matrix
β β βββ Adjacency List
β βββ BFS
β βββ DFS
β βββ Topological Sort
β βββ Cycle Detection
β βββ Shortest Path
β β βββ Dijkstra
β β βββ Bellman-Ford
β β βββ Floyd-Warshall
β βββ Minimum Spanning Tree
β β βββ Kruskal
β β βββ Prim
β βββ Disjoint Set (Union-Find)
β
βββ 11. Recursion & Backtracking
β βββ Recursion Basics
β βββ Subsets
β βββ Permutations
β βββ N-Queens
β βββ Sudoku Solver
β
βββ 12. Greedy Algorithms
β βββ Activity Selection
β βββ Huffman Coding
β βββ Fractional Knapsack
β βββ Job Scheduling
β
βββ 13. Dynamic Programming
β βββ Memoization
β βββ Tabulation
β βββ 1D DP
β βββ 2D DP
β βββ Knapsack Variants
β βββ Longest Common Subsequence
β βββ Longest Increasing Subsequence
β βββ Matrix Chain Multiplication
β
βββ 14. Bit Manipulation
β βββ Bitwise Operators
β βββ Set / Clear Bits
β βββ Count Set Bits
β βββ XOR Tricks
β
βββ 15. Advanced DSA
β βββ Sparse Table
β βββ Heavy-Light Decomposition
β βββ Treap
β βββ Splay Tree
β βββ Skip List
β
βββ 16. Interview Patterns
βββ Two Pointer Pattern
βββ Sliding Window Pattern
βββ Binary Search Pattern
βββ BFS / DFS Pattern
βββ Greedy Choice Pattern
βββ DP Pattern Recognition | 0 |
| 6 | +4 Introducing Python 2025.pdf | 0 |
| 7 | π 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.
π Why itβs 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
π 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
π Donβt just follow the market, get ahead of it. | 0 |
| 8 | http codes list.pdf | 0 |
Available now! Telegram Research 2025 β the year's key insights 
