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Python Programming & AI Resources

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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

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India29 249 Technologies & Applications9 410...

📈 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 13 520 subscribers, ranking 9 410 in the Technologies & Applications category and 29 249 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 520 subscribers.

According to the latest data from 26 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -91 over the last 30 days and by -11 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 19.06%. 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 0 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 0.
Thematic interests: Content is focused on key topics such as tuple, comprehension, learning, programming, loop.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“✅ Python Programming Books ✅ Coding Projects ✅ Important Pdfs ✅ Artificial Intelligence Courses ✅ Data Science Notes For promotions: @love_data Buy ads: https://telega.io/c/pythonproz”

Thanks to the high frequency of updates (latest data received on 27 October, 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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13 520

Subscribers

-1124 hours

-397 days

-9130 days

2 577

Post views

No data24 hours

No data48 hours

19.06%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

13 520

Complete python handwritten Notes 🚀 React ❤️ For More

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Python Handwritten Notes 🐍 React ❤️ For More

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Building Chatbots with Python

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⌨️ 4 Hidden features of Python

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✅ 50 Must-Know Python Concepts for Interviews 🐍📊 📍 Core Concepts 1. Data Types: int, float, str, bool, list, tuple, dict, set 2. Operators: Arithmetic, Comparison, Logical 3. Control Flow: if, elif, else 4. Loops: for, while 5. Functions: def, lambda 6. Variables & Scope 📍 Data Structures 7. Lists: Manipulation, indexing, slicing 8. Tuples: Immutability 9. Dictionaries: Key-value pairs 10. Sets: Unique elements 📍 Object-Oriented Programming (OOP) 11. Classes and Objects 12. Inheritance 13. Polymorphism 14. Encapsulation 📍 File Handling 15. Opening, reading, writing files 16. Context Managers (with statement) 📍 Modules & Packages 17. Importing modules 18. Creating and using packages 19. Popular Libraries: NumPy, Pandas, Matplotlib, Scikit-learn 📍 NumPy 20. Arrays: Creation, indexing, slicing 21. Mathematical Operations 22. Broadcasting 📍 Pandas 23. Series and DataFrames 24. Data Selection, Filtering 25. Grouping and Aggregation 26. Joining and Merging 27. Handling Missing Data 📍 Data Cleaning & Preprocessing 28. Handling Missing Values 29. Outlier Detection and Treatment 30. Data Transformation (scaling, normalization) 📍 Data Visualization 31. Matplotlib: Plots, charts, customizations 32. Seaborn: Statistical visualizations 📍 Machine Learning Basics 33. Supervised Learning 34. Unsupervised Learning 35. Model Evaluation Metrics 36. Cross-Validation 📍 Common ML Algorithms 37. Linear Regression 38. Logistic Regression 39. Decision Trees 40. Random Forests 📍 Advanced Concepts 41. List Comprehensions 42. Generators 43. Decorators 44. Error Handling (try, except) 45. Regular Expressions 📍 Best Practices 46. Code Style (PEP 8) 47. Documentation 48. Testing 49. Version Control (Git) 📍 Real-World Scenarios 50. Data Analysis Projects 💡 Tap ❤️ for more! #python #coding #interview #datascience #machinelearning #programming

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🚀 AI Journey Contest 2025: Test your AI skills! Join our international online AI competition. Register now for the contest! Award fund — RUB 6.5 mln! Choose your track: · 🤖 Agent-as-Judge — build a universal “judge” to evaluate AI-generated texts. · 🧠 Human-centered AI Assistant — develop a personalized assistant based on GigaChat that mimics human behavior and anticipates preferences. Participants will receive API tokens and a chance to get an additional 1M tokens. · 💾 GigaMemory — design a long-term memory mechanism for LLMs so the assistant can remember and use important facts in dialogue. Why Join Level up your skills, add a strong line to your resume, tackle pro-level tasks, compete for an award, and get an opportunity to showcase your work at AI Journey, a leading international AI conference. How to Join 1. Register here. 2. Choose your track. 3. Create your solution and submit it by 30 October 2025. 🚀 Ready for a challenge? Join a global developer community and show your AI skills!

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Advanced Python Programming Accelerate your Python programs.pdf8.46 MB

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Python Tricks Book.pdf1.27 MB

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Learn Python in one day.pdf1.28 MB

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Goldman Sachs Python Interview Questions 🚀 🚀 Master Python interviews like a pro! 📌 Must-know questions for every Data Analyst & Python Developer — save & practice now!

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Goldman Sachs Python Interview Questions .pdf4.76 MB

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DSA in Python 👆👆

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Enjoy our content? Advertise on this channel and reach a highly engaged audience! 👉🏻 It's easy with Telega.io. As the leading platform for native ads and integrations on Telegram, it provides user-friendly and efficient tools for quick and automated ad launches. ⚡️ Place your ad here in three simple steps: 1 Sign up 2 Top up the balance in a convenient way 3 Create your advertising post If your ad aligns with our content, we’ll gladly publish it. Start your promotion journey now!

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⌨️ Python Tips & Tricks

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Python_Notes (1).pdf26.85 MB

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Everything you need to learn Python 🧠🐍 React for more ❤️

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Python for beginners Notes 🔥 React ❤️ for More

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30 Days Python Roadmap for Data Analysts 👆

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Difference between list and tuple in python 🔸List is mutable ( you can modify the original list) and it's values are written in sqare brackets [ ] 🔸Tuple is immutable ( you can't modify it) and it's values are written in parentheses ( ) delimited by comma( , ) 🔸To convert list to tuple - we use tuple() function list1 = [1,2,3] print(tuple(list1)) Output : (1,2,3) 🔸 For single element list list1 = [1] print(tuple(list1)) Output : (1, ) ▪️a tuple is a tuple because of comma not because of parentheses

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71 Python projects with source code