Available now! Telegram Research 2025 โ the year's key insights 
Python Programming & AI Resources
Open in Telegram
โ Python Programming Books โ Coding Projects โ Important Pdfs โ Artificial Intelligence Courses โ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz
Show more๐ Analytical overview of Telegram channel Python Programming & AI Resources
Channel Python Programming & AI Resources (@pythonproz) in the English language segment is an active participant. Currently, the community unites 13 139 subscribers, ranking 9 723 in the Technologies & Applications category and 32 951 in the India region.
๐ Audience metrics and dynamics
Since its creation on ะฝะตะฒัะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 13 139 subscribers.
According to the latest data from 04 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 19 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 15.68%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 060 views. Within the first day, a publication typically gains 0 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 9.
- Thematic interests: Content is focused on key topics such as tuple, comprehension, learning, programming, loop.
๐ Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
โโ
Python Programming Books
โ
Coding Projects
โ
Important Pdfs
โ
Artificial Intelligence Courses
โ
Data Science Notes
For promotions: @love_data
Buy ads: https://telega.io/c/pythonprozโ
Thanks to the high frequency of updates (latest data received on 05 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 Technologies & Applications category.
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| Date | Subscriber Growth | Mentions | Channels | |
| 05 June | +1 | |||
| 04 June | +2 | |||
| 03 June | 0 | |||
| 02 June | 0 | |||
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Channel Posts
Python Beginner Roadmap ๐
๐ Start Here
โ๐ Install Python & VS Code
โ๐ Learn How to Run Python Files
๐ Python Basics
โ๐ Variables & Data Types
โ๐ Input & Output
โ๐ Operators (Arithmetic, Comparison)
โ๐ if, else, elif
โ๐ for & while loops
๐ Data Structures
โ๐ Lists
โ๐ Tuples
โ๐ Sets
โ๐ Dictionaries
๐ Functions
โ๐ Defining & Calling Functions
โ๐ Arguments & Return Values
๐ Basic File Handling
โ๐ Read & Write to Files (.txt)
๐ Practice Projects
โ๐ Calculator
โ๐ Number Guessing Game
โ๐ To-Do List (store in file)
๐ โ
Move to Next Level (Only After Basics)
โ๐ Learn Modules & Libraries
โ๐ Small Real-World Scripts
For detailed explanation, join this channel ๐
https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
React "โค๏ธ" For More :)
| 2 |  15 Best Project Ideas for Python : ๐
๐ Beginner Level:
1. Simple Calculator
2. To-Do List
3. Number Guessing Game
4. Dice Rolling Simulator
5. Word Counter
๐ Intermediate Level:
6. Weather App
7. URL Shortener
8. Movie Recommender System
9. Chatbot
10. Image Caption Generator
๐ Advanced Level:
11. Stock Market Analysis
12. Autonomous Drone Control
13. Music Genre Classification
14. Real-Time Object Detection
15. Natural Language Processing (NLP) Sentiment Analysis | 3 740 |
| 3 | Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months
### Week 1: Introduction to Python
Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions
Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules
Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode
### Week 2: Advanced Python Concepts
Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions
Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files
Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
Day 14: Practice Day
- Solve intermediate problems on coding platforms
### Week 3: Introduction to Data Structures
Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists
Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues
Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions
Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues
### Week 4: Fundamental Algorithms
Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort
Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis
Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques
Day 28: Practice Day
- Solve problems on sorting, searching, and hashing
### Week 5: Advanced Data Structures
Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)
Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps
Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)
Day 35: Practice Day
- Solve problems on trees, heaps, and graphs
### Week 6: Advanced Algorithms
Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)
Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms
Day 40-41: Graph Algorithms
- Dijkstraโs algorithm for shortest path
- Kruskalโs and Primโs algorithms for minimum spanning tree
Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms
### Week 7: Problem Solving and Optimization
Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems
Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef
Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization
Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them
### Week 8: Final Stretch and Project
Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts
Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project
Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems
Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report
Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://t.me/free4unow_backup
ENJOY LEARNING ๐๐ | 4 133 |
| 4 | Building Chatbots with Python | 4 066 |
| 5 | Found this - AI Builders, pay attention.
A curated marketplace just launched where AI builders list their systems and get paid - setup fee + monthly recurring. No sales, no client chasing. They handle everything, you just build.
100% free to join. No fees, no subscription, no hidden costs. They only take 20% when you earn - on setup fee and recurring. That's it.
Accepted builders are earning from day one. Spots are limited by design.
Takes 5 minutes to apply. You'll need a 90-second video of your system in action.
โ https://tglink.io/3508aa8711f389
Daily updates from the CEO: https://tglink.io/e2ba74d53c7039
Follow, like & share in "your network" - these guys are building something seriously worth watching.
PS: First systems go live tomorrow. Builders who join early get the best positioning... investor-backed marketing means they bring the clients to you. | 1 222 |
| 6 | Python Projects for your Data Science Portfolio
โก๏ธ| Data Analysis Portfolio Projects
https://github.com/AlexTheAnalyst/PortfolioProjects
โก๏ธ| Python for Data Analysis (pydata-book)
https://github.com/wesm/pydata-book
โก๏ธ| Data Science Projects
https://github.com/CodeCutTech/Data-science
โก๏ธ| End-to-End ML Projects
https://github.com/GokuMohandas/Made-With-ML
โก๏ธ| Python Project Scripts
https://github.com/hastagAB/Awesome-Python-Scripts
โก๏ธ| Applied ML in Production
https://github.com/eugeneyan/applied-ml
โก๏ธ| Data Engineering Projects (Zoomcamp)
https://github.com/DataTalksClub/data-engineering-zoomcamp
โก๏ธ| Real-Time Data Processing
https://github.com/andkret/Cookbook
โก๏ธ| Plotly Dash Examples
https://github.com/plotly/dash-sample-apps
โก๏ธ| Streamlit Gallery
https://github.com/streamlit/streamlit
โก๏ธ| Web Scraping Projects
https://github.com/NirantK/awesome-project-ideas
โก๏ธ| API Projects
https://github.com/public-apis/public-apis | 4 978 |
| 7 | ๐ฐ Python Statements | 4 364 |
| 8 | ๐ฑ Python enthusiasts, this is for you โ 15 BEST REPOSITORIES on GitHub for learning Python
โถ๏ธ Awesome Python โ https://github.com/vinta/awesome-python
โ the largest and most authoritative collection of frameworks, libraries, and resources for Python โ a must-save
โถ๏ธ TheAlgorithms/Python โ https://github.com/TheAlgorithms/Python
โ a huge collection of algorithms and data structures written in Python
โถ๏ธ Project-Based-Learning โ https://github.com/practical-tutorials/project-based-learning
โ learning Python (and not only) through real projects
โถ๏ธ Real Python Guide โ https://github.com/realpython/python-guide
โ a high-quality guide to the Python ecosystem, tools, and best practices
โถ๏ธ Materials from Real Python โ https://github.com/realpython/materials
โ a collection of code and projects for Real Python articles and courses
โถ๏ธ Learn Python โ https://github.com/trekhleb/learn-python
โ a reference with explanations, examples, and exercises
โถ๏ธ Learn Python 3 โ https://github.com/jerry-git/learn-python3
โ a convenient guide to modern Python 3 with tasks
โถ๏ธ Python Reference โ https://github.com/rasbt/python_reference
โ cheat sheets, scripts, and useful tips from one of the most respected Python authors
โถ๏ธ 30-Days-Of-Python โ https://github.com/Asabeneh/30-Days-Of-Python
โ a 30-day challenge: from syntax to more complex topics
โถ๏ธ Python Programming Exercises โ https://github.com/zhiwehu/Python-programming-exercises
โ 100+ Python tasks with answers
โถ๏ธ Coding Problems โ https://github.com/MTrajK/coding-problems
โ tasks on algorithms and data structures, including for preparation for interviews
โถ๏ธ Projects โ https://github.com/karan/Projects
โ a list of ideas for pet projects (not just Python). Great for practice
โถ๏ธ 100-Days-Of-ML-Code โ https://github.com/Avik-Jain/100-Days-Of-ML-Code
โ machine learning in Python in the format of a challenge
โถ๏ธ 30-Seconds-of-Python โ https://github.com/30-seconds/30-seconds-of-python
โ useful snippets and tricks for everyday tasks
โถ๏ธ Geekcomputers/Python โ https://github.com/geekcomputers/Python
โ various scripts: from working with the network to automation tasks
React โฅ๏ธ for more posts like this ๐ | 4 034 |
| 9 |  ๐ 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.
๐ Why itโs worth your attention:
โข Exploits oracle timing inefficiencies
โข Built for fast execution & precise entries
โข Fully open-source, inspect, modify, and run it yourself
๐ 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
๐ Donโt just follow the market, get ahead of it. | 688 |
| 10 |  ๐ป Python Programming Roadmap
๐น Stage 1: Python Basics (Syntax, Variables, Data Types)ย
๐น Stage 2: Control Flow (if/else, loops)ย
๐น Stage 3: Functions & Modulesย
๐น Stage 4: Data Structures (Lists, Tuples, Sets, Dicts)ย
๐น Stage 5: File Handling (Read/Write, CSV, JSON)ย
๐น Stage 6: Error Handling (try/except, custom exceptions)ย
๐น Stage 7: Object-Oriented Programming (Classes, Inheritance)ย
๐น Stage 8: Standard Libraries (os, datetime, math)ย
๐น Stage 9: Virtual Environments & pip package managementย
๐น Stage 10: Working with APIs (Requests, JSON data)ย
๐น Stage 11: Web Development Basics (Flask/Django)ย
๐น Stage 12: Databases (SQLite, PostgreSQL, SQLAlchemy ORM)ย
๐น Stage 13: Testing (unittest, pytest frameworks)ย
๐น Stage 14: Version Control with Git & GitHubย
๐น Stage 15: Package Development (setup.py, publishing on PyPI)ย
๐น Stage 16: Data Analysis (Pandas, NumPy libraries)ย
๐น Stage 17: Data Visualization (Matplotlib, Seaborn)ย
๐น Stage 18: Web Scraping (BeautifulSoup, Selenium)ย
๐น Stage 19: Automation & Scripting projectsย
๐น Stage 20: Advanced Topics (AsyncIO, Type Hints, Design Patterns)
๐ก Tip: Master one stage before moving to the next. Build mini-projects to solidify your learning.
You can find detailed explanation here: ๐ https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l
Double Tap โฅ๏ธ For More โ
| 4 261 |
| 11 | โ
Python Coding Interview Questions with Answers: Part-1 ๐๐ป
1๏ธโฃ Reverse a String ๐
Q: Write code to reverse a given string.
Python Code:
def reverse_string(s):
return s[::-1]
print(reverse_string("hello")) # Output: "olleh"
2๏ธโฃ Check Palindrome โจ
Q: Check if a string is a palindrome (ignoring spaces & case).
Python Code:
def is_palindrome(s):
s = s.replace(" ", "").lower()
return s == s[::-1]
print(is_palindrome("Race car")) # Output: True
3๏ธโฃ Find Duplicate Elements in List ๐ฏ
Q: Print all duplicates from a list.
Python Code:
from collections import Counter
def find_duplicates(lst):
count = Counter(lst)
return [item for item, freq in count.items() if freq > 1]
print(find_duplicates([1, 2, 3, 2, 4, 1])) # Output: [1, 2]
4๏ธโฃ Count Vowels in a String ๐ฃ๏ธ
Q: Count number of vowels in a string.
Python Code:
def count_vowels(s):
return sum(1 for char in s.lower() if char in "aeiou")
print(count_vowels("Python is fun")) # Output: 4
5๏ธโฃ Find Factorial Using Recursion ๐
Q: Write a recursive function to find factorial.
Python Code:
def factorial(n):
if n == 0 or n == 1:
return 1
return n * factorial(n - 1)
print(factorial(5))
# Output: 120
๐ฌ Double Tap โฅ๏ธ For Part-2
#Python #CodingInterview | 3 589 |
| 12 |  ๐ AI System Builders โ finally something serious.
A German company ๐ฉ๐ช (Brainlancer GmbH) is launching a curated B2B AI platform on April 2026.
This is NOT:
โ a freelance marketplace
โ an agency network
This is:
โ
a verified AI builder network
If you're accepted, you can offer your AI systems (e.g. Lead Gen, Customer Support, Recruiting Automation) for ~$2,499 setup + monthly maintenance.
๐ You focus on building systems
๐ Brainlancer handles clients & takes 20%
---
๐ก If you can build real, end-to-end AI systems (not just prompts), this is for you.
---
โก Apply here (form takes 5โ7 min):
https://assesment.brainlancer.com/?src=tinvite
๐ฅ Quick overview video (thumbs up ๐):
https://www.youtube.com/watch?v=jwhxqB-idsg&t=1s
๐ค CEO (LinkedIn):
https://www.linkedin.com/in/soner-catakli/
---
Early access is limited. | 3 174 |
| 13 | โ๏ธ Python Developer Roadmap
๐ Python Basics (Syntax, Variables, Data Types, Inputs/Outputs)
โ๐ Operators & Expressions (Arithmetic, Comparison, Logical)
โ๐ Control Flow (if/elif/else, for, while, break/continue)
โ๐ Data Structures (Lists, Tuples, Sets, Dictionaries, Strings)
โ๐ Functions & Scope (Arguments, Return, Lambda, Docstrings)
โ๐ Modules & Packages (import, pip, Virtual Environments)
โ๐ File Handling (read/write, with, CSV/JSON basics)
โ๐ Exception Handling (try/except/else/finally, Custom Exceptions)
โ๐ Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
โ๐ Advanced Python Concepts (Iterators, Generators, Decorators, Context Managers)
โ๐ Standard Library & Best Practices (os, sys, datetime, collections, pathlib, logging)
โ๐ Testing & Debugging (unittest/pytest, pdb, type hints, linting with flake8/black)
โ๐ Version Control & Build/Env Tools (Git/GitHub, requirements.txt, venv/poetry)
โ๐ Algorithms & DSA Practice (LeetCode, HackerRank โ Python-specific)
โ๐ Projects & Specialization
โ๐ Web (Django/Flask/FastAPI) or
โ๐ Data (Pandas, NumPy, Matplotlib) or
โ๐ Automation/Scripting (APIs, Selenium, Scrapy)
โโ
Apply for Python Developer / Data / Backend Roles
๐ฌ Tap โค๏ธ for more! | 2 968 |
| 14 | Web Development Project Ideas
Beginner-Level Projects
(Focus: HTML, CSS, basic JavaScript)
1. Calculator
2. Quiz App
3. Rock Paper Scissors
4. Note App
5. Stopwatch App
6. QR Code Reader
7. Weather App
8. Landing Page
9. Password Generator
10. Tic Tac Toe Game
11. Drawing App
12. Meme Generator
13. To-Do List App
14. Typing Speed Test
15. Random User API
Intermediate-Level Projects
(Focus: JavaScript, basic backend, APIs, local storage, UI/UX)
1. Link Shortener Website
2. Portfolio Website
3. Food Order Website
4. Movie App
5. Chat App
6. Twitter Clone
7. Survey App
8. E-Book Site
9. File Sharing App
10. Parallax Website
11. Tracker App
12. Memory App
13. Giphy Clone
14. Chess Game
15. Music Player
Advanced-Level Projects
(Focus: Full Stack, authentication, real-time, complex logic, deployment)
1. Ecommerce Website
2. Instagram Clone
3. Whatsapp Clone
4. Netflix Clone
5. Job Search App
6. Pinterest Clone
7. Dating App
8. Social Media Dashboard
9. User Activity Tracker
10. Stock-Trading App
React โค๏ธ for more
Join our WhatsApp channel for more: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z | 3 594 |
| 15 | ๐ค ๐๐ + ๐๐ฎ๐๐ฎ = ๐ง๐ต๐ฒ ๐๐๐๐๐ฟ๐ฒ ๐ผ๐ณ ๐๐ผ๐ฏ๐
Start your journey in Data Analytics & Data Science with AI Certification and gain skills companies are actively hiring for.
๐ Data Analysis
๐ Python Programming
๐ค Machine Learning
๐ AI-Driven Insights
๐ฅ Perfect for College Studentsย ,Freshers & Professionals
1๏ธโฃ๐ฃ๐๐๐ต๐ผ๐ป :- https://pdlink.in/3OD9jI1
2๏ธโฃ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ :- https://pdlink.in/4kucM7E
3๏ธโฃ๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ :- https://pdlink.in/4ay4wPG
4๏ธโฃ๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ :- https://pdlink.in/3ZtIZm9
5๏ธโฃ๐๐ & ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด :- https://pdlink.in/4rMivIA
Don't Miss This Opportunity . Get Placement Assistance With 5000+ Companies | 1 383 |
| 16 | Python for Everything:
Python + Django = Web Development
Python + Matplotlib = Data Visualization
Python + Flask = Web Applications
Python + Pygame = Game Development
Python + PyQt = Desktop Applications
Python + TensorFlow = Machine Learning
Python + FastAPI = API Development
Python + Kivy = Mobile App Development
Python + Pandas = Data Analysis
Python + NumPy = Scientific Computing | 3 246 |
