Looking for Great Python Learning Resources

[MalikIssiakhem]

Hi everyone! 👋
I'm currently deepening my understanding of Python and looking to explore more advanced or structured resources beyond the basics. I’ve gone through some tutorials and beginner-friendly documentation, but I’d love to hear what others recommend for really leveling up.
Whether it's:
Free or paid online courses
YouTube channels or playlists
Books (digital or physical)
Practice platforms (e.g., for coding challenges or projects)
Blogs or newsletters
Open source projects that are great for learning by contributing
Anything else you’ve found useful
Feel free to drop your suggestions below! Bonus points if the resource focuses on things like best practices, real-world projects, or intermediate-to-advanced topics (like async, testing, architecture, etc.).
Thanks in advance for sharing! 🙏

[ghost]

I think this is the best place to learn python 3
https://www.codecademy.com/learn/learn-python-3

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[tuves]

Welcome to the GitHub Community, @Malouek, we're happy you're here! You are more likely to get a useful response if you are posting your question(s) in the applicable category and are explicit about what your project entails--giving a few more details might help someone give you a nudge in the right direction. I've gone ahead and moved it for you. Good luck!

[wislertt]

leetcode-py check this, if you want to practice leetcode using python.

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[tstenborg]

The Python Institute has some good learning resources.

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[Sahil-dev7]

https://roadmap.sh/python

The Best technique was that where, you Teach yourself by own.

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[Venkatsai04]

First step—escape tutorial hell. Don’t just follow along; start building with a purpose. Ask yourself why you’re learning Python (web, data, AI, automation), then pick resources that match that goal.

Some solid next steps:

Books: Fluent Python (Luciano Ramalho), Effective Python (Brett Slatkin)

YouTube: Corey Schafer (great for intermediate concepts), Tech With Tim

Courses: “Python Asyncio” on RealPython, “Testing with pytest” (TestDriven.io)

Practice: LeetCode, Codewars, Project Euler (for problem-solving)

Open Source: Check issues labeled good first issue on Django, FastAPI, or Pandas

Purpose + practice > endless tutorials. That’s how you level up.

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[gpl-gowthamchand]

Hey @Malouek,

That’s a really good move - looking for structured, advanced-level Python resources will take you further than just tutorials. Here are some suggestions, and how you can make the most out of them:

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Resources I Recommend

• Fluent Python by Luciano Ramalho - great for thinking in more “Python-ic” ways.
• Effective Python by Brett Slatkin - lots of practical tips that help you write cleaner, more robust code.
• RealPython (website) - their intermediate/advanced tutorials on testing, async, web frameworks are solid.
• LeetCode, Exercism, Advent of Code - for building problem solving and algorithmic skills.
• Open source frameworks like FastAPI or Django - try contributing to small issues (“good first issue”) to see how production-level code is organized.

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How to Make Your Learning More Effective

What helped me when I was leveling up:

• Pick a project that interests you (web app, automation, data work, etc.). Use the resources while you build.
• Read code from real, active projects. Look at how folks structure folders, how they write tests, how they do error handling.
• Write tests early - even for small features. Testing forces you to think about edge cases and behavior.
• Review your own code after a few weeks/months; see what you could do better now that your understanding is deeper.
• Join communities, watch code reviews, ask for feedback.

[MalikIssiakhem]

Sorry, I didn’t take the time to reply earlier. Thank you for your time and for the resources you shared!

[nikhiilraj]

Here are some Python resources that really helped me level up beyond the basics:
Courses:
Intermediate Python (free) and Talk Python’s courses (paid but very practical).
YouTube:
Corey Schafer for real-world explanations, and ArjanCodes for clean code + architecture.
Books:
Fluent Python for deeper concepts and Effective Python for best practices.
Practice:
LeetCode or HackerRank for challenges, and Exercism if you want mentor-style feedback.
Blogs/Newsletters:
RealPython tutorials and the Python Weekly newsletter.
Open Source:
Projects like Django, FastAPI, or Pandas have “good first issue” tags that are great for learning.
These helped me move from just writing Python to actually understanding how to build cleaner, more real-world code. Hope they help you too!