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 India32 951 Technologies & Applications9 723...

📈 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 13 137 subscribers, ranking 9 723 in the Technologies & Applications category and 32 951 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 137 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.

📝 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 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.

13 137

Subscribers

+124 hours

-77 days

+1930 days

2 060

Post views

No data24 hours

No data48 hours

15.68%

Engagement rate

No data

Posts per day

Ads index

beta

Posts Archive

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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

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How to master Python from scratch🚀 1. Setup and Basics 🏁 - Install Python 🖥️: Download Python and set it up. - Hello, World! 🌍: Write your first Hello World program. 2. Basic Syntax 📜 - Variables and Data Types 📊: Learn about strings, integers, floats, and booleans. - Control Structures 🔄: Understand if-else statements, for loops, and while loops. - Functions 🛠️: Write reusable blocks of code. 3. Data Structures 📂 - Lists 📋: Manage collections of items. - Dictionaries 📖: Store key-value pairs. - Tuples 📦: Work with immutable sequences. - Sets 🔢: Handle collections of unique items. 4. Modules and Packages 📦 - Standard Library 📚: Explore built-in modules. - Third-Party Packages 🌐: Install and use packages with pip. 5. File Handling 📁 - Read and Write Files 📝 - CSV and JSON 📑 6. Object-Oriented Programming 🧩 - Classes and Objects 🏛️ - Inheritance and Polymorphism 👨‍👩‍👧 7. Web Development 🌐 - Flask 🍼: Start with a micro web framework. - Django 🦄: Dive into a full-fledged web framework. 8. Data Science and Machine Learning 🧠 - NumPy 📊: Numerical operations. - Pandas 🐼: Data manipulation and analysis. - Matplotlib 📈 and Seaborn 📊: Data visualization. - Scikit-learn 🤖: Machine learning. 9. Automation and Scripting 🤖 - Automate Tasks 🛠️: Use Python to automate repetitive tasks. - APIs 🌐: Interact with web services. 10. Testing and Debugging 🐞 - Unit Testing 🧪: Write tests for your code. - Debugging 🔍: Learn to debug efficiently. 11. Advanced Topics 🚀 - Concurrency and Parallelism 🕒 - Decorators 🌀 and Generators ⚙️ - Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy. 12. Practice Projects 💡 - Calculator 🧮 - To-Do List App 📋 - Weather App ☀️ - Personal Blog 📝 13. Community and Collaboration 🤝 - Contribute to Open Source 🌍 - Join Coding Communities 💬 - Participate in Hackathons 🏆 14. Keep Learning and Improving 📈 - Read Books 📖: Like "Automate the Boring Stuff with Python". - Watch Tutorials 🎥: Follow video courses and tutorials. - Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars. 15. Teach and Share Knowledge 📢 - Write Blogs ✍️ - Create Video Tutorials 📹 - Mentor Others 👨‍🏫 I have curated the best interview resources to crack Python Interviews 👇👇 https://topmate.io/coding/898340 Hope you'll like it Like this post if you need more resources like this 👍❤️

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Think Python 2nd edition by Allen B. Downey O'REILLY 2016 291 pages

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Repost from Python Projects & Resources

Python.pdf2.37 KB

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Python Interviews.pdf1.90 MB

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🔰 The Ultimate Python Handwritten Notes 📝 React ❤️ for more 🔗

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Quick Python Book ✅

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DSA in Python 👆👆

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Useful Python for data science cheat sheets 👆 React ♥️ for more

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import_data.pdf1.35 KB

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Python Handwritten Notes 👆

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In Python, how do you indicate a private variable inside a class?

Anonymous voting

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What is polymorphism?

Anonymous voting