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✅ Python Programming Books ✅ Coding Projects ✅ Important Pdfs ✅ Artificial Intelligence Courses ✅ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz
Больше📈 Аналитический обзор Telegram-канала Python Programming & AI Resources
Канал Python Programming & AI Resources (@pythonproz) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 139 подписчиков, занимая 9 723 место в категории Технологии и приложения и 32 951 место в регионе Индия.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 139 подписчиков.
Согласно последним данным от 04 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 19, а за последние 24 часа — 1, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 15.68%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 2 060 просмотров. В течение первых суток публикация набирает 0 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 9.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как tuple, comprehension, learning, programming, loop.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“✅ Python Programming Books
✅ Coding Projects
✅ Important Pdfs
✅ Artificial Intelligence Courses
✅ Data Science Notes
For promotions: @love_data
Buy ads: https://telega.io/c/pythonproz”
Благодаря высокой частоте обновлений (последние данные получены 05 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
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Посты канала
Python Beginner Roadmap 🐍
📂 Start Here
∟📂 Install Python & VS Code
∟📂 Learn How to Run Python Files
📂 Python Basics
∟📂 Variables & Data Types
∟📂 Input & Output
∟📂 Operators (Arithmetic, Comparison)
∟📂 if, else, elif
∟📂 for & while loops
📂 Data Structures
∟📂 Lists
∟📂 Tuples
∟📂 Sets
∟📂 Dictionaries
📂 Functions
∟📂 Defining & Calling Functions
∟📂 Arguments & Return Values
📂 Basic File Handling
∟📂 Read & Write to Files (.txt)
📂 Practice Projects
∟📌 Calculator
∟📌 Number Guessing Game
∟📌 To-Do List (store in file)
📂 ✅ Move to Next Level (Only After Basics)
∟📂 Learn Modules & Libraries
∟📂 Small Real-World Scripts
For detailed explanation, join this channel 👇
https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
React "❤️" For More :)
| 2 |  15 Best Project Ideas for Python : 🐍
🚀 Beginner Level:
1. Simple Calculator
2. To-Do List
3. Number Guessing Game
4. Dice Rolling Simulator
5. Word Counter
🌟 Intermediate Level:
6. Weather App
7. URL Shortener
8. Movie Recommender System
9. Chatbot
10. Image Caption Generator
🌌 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
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s 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 👍👍 | 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.
→ 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
⚡️| Data Analysis Portfolio Projects
https://github.com/AlexTheAnalyst/PortfolioProjects
⚡️| Python for Data Analysis (pydata-book)
https://github.com/wesm/pydata-book
⚡️| Data Science Projects
https://github.com/CodeCutTech/Data-science
⚡️| End-to-End ML Projects
https://github.com/GokuMohandas/Made-With-ML
⚡️| Python Project Scripts
https://github.com/hastagAB/Awesome-Python-Scripts
⚡️| Applied ML in Production
https://github.com/eugeneyan/applied-ml
⚡️| Data Engineering Projects (Zoomcamp)
https://github.com/DataTalksClub/data-engineering-zoomcamp
⚡️| Real-Time Data Processing
https://github.com/andkret/Cookbook
⚡️| Plotly Dash Examples
https://github.com/plotly/dash-sample-apps
⚡️| Streamlit Gallery
https://github.com/streamlit/streamlit
⚡️| Web Scraping Projects
https://github.com/NirantK/awesome-project-ideas
⚡️| API Projects
https://github.com/public-apis/public-apis | 4 978 |
| 7 | 🔰 Python Statements | 4 364 |
| 8 | 📱 Python enthusiasts, this is for you — 15 BEST REPOSITORIES on GitHub for learning Python
▶️ Awesome Python — https://github.com/vinta/awesome-python
— the largest and most authoritative collection of frameworks, libraries, and resources for Python — a must-save
▶️ TheAlgorithms/Python — https://github.com/TheAlgorithms/Python
— a huge collection of algorithms and data structures written in Python
▶️ Project-Based-Learning — https://github.com/practical-tutorials/project-based-learning
— learning Python (and not only) through real projects
▶️ Real Python Guide — https://github.com/realpython/python-guide
— a high-quality guide to the Python ecosystem, tools, and best practices
▶️ Materials from Real Python — https://github.com/realpython/materials
— a collection of code and projects for Real Python articles and courses
▶️ Learn Python — https://github.com/trekhleb/learn-python
— a reference with explanations, examples, and exercises
▶️ Learn Python 3 — https://github.com/jerry-git/learn-python3
— a convenient guide to modern Python 3 with tasks
▶️ Python Reference — https://github.com/rasbt/python_reference
— cheat sheets, scripts, and useful tips from one of the most respected Python authors
▶️ 30-Days-Of-Python — https://github.com/Asabeneh/30-Days-Of-Python
— a 30-day challenge: from syntax to more complex topics
▶️ Python Programming Exercises — https://github.com/zhiwehu/Python-programming-exercises
— 100+ Python tasks with answers
▶️ Coding Problems — https://github.com/MTrajK/coding-problems
— tasks on algorithms and data structures, including for preparation for interviews
▶️ Projects — https://github.com/karan/Projects
— a list of ideas for pet projects (not just Python). Great for practice
▶️ 100-Days-Of-ML-Code — https://github.com/Avik-Jain/100-Days-Of-ML-Code
— machine learning in Python in the format of a challenge
▶️ 30-Seconds-of-Python — https://github.com/30-seconds/30-seconds-of-python
— useful snippets and tricks for everyday tasks
▶️ Geekcomputers/Python — https://github.com/geekcomputers/Python
— various scripts: from working with the network to automation tasks
React ♥️ for more posts like this 💛 | 4 034 |
| 9 |  🚀 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. | 688 |
| 10 |  💻 Python Programming Roadmap
🔹 Stage 1: Python Basics (Syntax, Variables, Data Types)
🔹 Stage 2: Control Flow (if/else, loops)
🔹 Stage 3: Functions & Modules
🔹 Stage 4: Data Structures (Lists, Tuples, Sets, Dicts)
🔹 Stage 5: File Handling (Read/Write, CSV, JSON)
🔹 Stage 6: Error Handling (try/except, custom exceptions)
🔹 Stage 7: Object-Oriented Programming (Classes, Inheritance)
🔹 Stage 8: Standard Libraries (os, datetime, math)
🔹 Stage 9: Virtual Environments & pip package management
🔹 Stage 10: Working with APIs (Requests, JSON data)
🔹 Stage 11: Web Development Basics (Flask/Django)
🔹 Stage 12: Databases (SQLite, PostgreSQL, SQLAlchemy ORM)
🔹 Stage 13: Testing (unittest, pytest frameworks)
🔹 Stage 14: Version Control with Git & GitHub
🔹 Stage 15: Package Development (setup.py, publishing on PyPI)
🔹 Stage 16: Data Analysis (Pandas, NumPy libraries)
🔹 Stage 17: Data Visualization (Matplotlib, Seaborn)
🔹 Stage 18: Web Scraping (BeautifulSoup, Selenium)
🔹 Stage 19: Automation & Scripting projects
🔹 Stage 20: Advanced Topics (AsyncIO, Type Hints, Design Patterns)
💡 Tip: Master one stage before moving to the next. Build mini-projects to solidify your learning.
You can find detailed explanation here: 👇 https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l
Double Tap ♥️ For More ✅ | 4 261 |
| 11 | ✅ Python Coding Interview Questions with Answers: Part-1 🐍💻
1️⃣ Reverse a String 🔄
Q: Write code to reverse a given string.
Python Code:
def reverse_string(s):
return s[::-1]
print(reverse_string("hello")) # Output: "olleh"
2️⃣ Check Palindrome ✨
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
3️⃣ Find Duplicate Elements in List 👯
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]
4️⃣ Count Vowels in a String 🗣️
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
5️⃣ Find Factorial Using Recursion 📈
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
💬 Double Tap ♥️ For Part-2
#Python #CodingInterview | 3 589 |
| 12 |  🚀 AI System Builders — finally something serious.
A German company 🇩🇪 (Brainlancer GmbH) is launching a curated B2B AI platform on April 2026.
This is NOT:
❌ a freelance marketplace
❌ an agency network
This is:
✅ 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.
👉 You focus on building systems
👉 Brainlancer handles clients & takes 20%
---
💡 If you can build real, end-to-end AI systems (not just prompts), this is for you.
---
⚡ Apply here (form takes 5–7 min):
https://assesment.brainlancer.com/?src=tinvite
🎥 Quick overview video (thumbs up 👍):
https://www.youtube.com/watch?v=jwhxqB-idsg&t=1s
👤 CEO (LinkedIn):
https://www.linkedin.com/in/soner-catakli/
---
Early access is limited. | 3 174 |
| 13 | ⚙️ Python Developer Roadmap
📂 Python Basics (Syntax, Variables, Data Types, Inputs/Outputs)
∟📂 Operators & Expressions (Arithmetic, Comparison, Logical)
∟📂 Control Flow (if/elif/else, for, while, break/continue)
∟📂 Data Structures (Lists, Tuples, Sets, Dictionaries, Strings)
∟📂 Functions & Scope (Arguments, Return, Lambda, Docstrings)
∟📂 Modules & Packages (import, pip, Virtual Environments)
∟📂 File Handling (read/write, with, CSV/JSON basics)
∟📂 Exception Handling (try/except/else/finally, Custom Exceptions)
∟📂 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
∟📂 Advanced Python Concepts (Iterators, Generators, Decorators, Context Managers)
∟📂 Standard Library & Best Practices (os, sys, datetime, collections, pathlib, logging)
∟📂 Testing & Debugging (unittest/pytest, pdb, type hints, linting with flake8/black)
∟📂 Version Control & Build/Env Tools (Git/GitHub, requirements.txt, venv/poetry)
∟📂 Algorithms & DSA Practice (LeetCode, HackerRank – Python-specific)
∟📂 Projects & Specialization
∟📂 Web (Django/Flask/FastAPI) or
∟📂 Data (Pandas, NumPy, Matplotlib) or
∟📂 Automation/Scripting (APIs, Selenium, Scrapy)
∟✅ Apply for Python Developer / Data / Backend Roles
💬 Tap ❤️ 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 ❤️ for more
Join our WhatsApp channel for more: https://whatsapp.com/channel/0029VaiSdWu4NVis9yNEE72z | 3 594 |
| 15 | 🤖 𝗔𝗜 + 𝗗𝗮𝘁𝗮 = 𝗧𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗝𝗼𝗯𝘀
Start your journey in Data Analytics & Data Science with AI Certification and gain skills companies are actively hiring for.
📊 Data Analysis
🐍 Python Programming
🤖 Machine Learning
📈 AI-Driven Insights
🔥 Perfect for College Students ,Freshers & Professionals
1️⃣𝗣𝘆𝘁𝗵𝗼𝗻 :- https://pdlink.in/3OD9jI1
2️⃣𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 :- https://pdlink.in/4kucM7E
3️⃣𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4ay4wPG
4️⃣𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/3ZtIZm9
5️⃣𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- 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 |
