Will always recommend Corey Schafer's python videos, highly recommend. He has a youtube tutorial series for python classes:
Learn Programming
Posting Etiquette
-
Ask the main part of your question in the title. This should be concise but informative.
-
Provide everything up front. Don't make people fish for more details in the comments. Provide background information and examples.
-
Be present for follow up questions. Don't ask for help and run away. Stick around to answer questions and provide more details.
-
Ask about the problem you're trying to solve. Don't focus too much on debugging your exact solution, as you may be going down the wrong path. Include as much information as you can about what you ultimately are trying to achieve. See more on this here: https://xyproblem.info/
Icon base by Delapouite under CC BY 3.0 with modifications to add a gradient
Thanks! Opening now . . .
Hey, have watched all of Corey’s Class series in the past day. Really fantastic; thank you!!!
Any other folks on YT you’d recommend for Python stuff?
Glad you enjoyed them as much as I did! Corey's videos are amazing!
Sadly I don't know any other great python content creators which go beyond basics. I started my whole programming career with Chuck Severance's PY4E python videos (he is also awesome content creator) and he does have some videos that teach other stuff beyond the basics of Python: Django, PostgreSQL and Web applications, but that's it as far as I remember. You could check out his playlists:
Here is an alternative Piped link(s): https://piped.video/watch?v=ZDa-Z5JzLYM
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I'm open-source, check me out at GitHub.
What I did at the beginning of learning Python, after learining the basics was just to think of a project that is interesting to me and start implementing it.
For example, you want to create a web login system. You'll have to read up on web frameworks, databases, hashing.
You want to create a simple game, you'll have to familiarize yourself with pyglet, maybe multiprocessing, maybe opengl.
You just want to crunch some numbers? You'll quickly find the need for numpy and numba so that you don't have to watch the paint dry.
I don't know if that's the correct way, but go ahead, experiment and learn along the way. Maybe you'll find out you enjoy it better that following steps of a tutorial.
I’m a learner who likes to experiment, as I have, then go back and study the conceptual and applied frameworks for a thing.