Make a plan of what you want to build. Start with the standard library. Google things you don't know how to do, those libraries will show themselves to you.
this post was submitted on 01 Jul 2024
17 points (79.3% liked)
Programming
17666 readers
58 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities [email protected]
founded 2 years ago
MODERATORS
Thanks but Im just going to go ahead and do my own thing. Everyone's very insistent about doing things a certain way in this thread and honestly its unsolicited advice. Not everything is an XY problem :). I'm just going to install my different, unconnected libraries and tinker in peace
That's like saying "what's the best ingredients to learn cooking with?", firstly it all depends on what your want to eat, secondly it doesn't really matter what the ingredients are to learn cooking skills.
Well I mean obviously the answer is eggs
The ingredients I chose first are pandas.
Standard library of course. And collections module too, among the others that come by default. What you need is assignments to solve. Like project euler or hacker rank.
I heard there are quantum computing libraries in Python if that interests you!
If I were you I'd browse PyPi for any packages that look cool.
Flask is a fun framework for making web apis.
Pika is a client for RabbitMQ, if you want to try message queue stuff.
Numpy and sklearn for numerical and machine learning stuff.
Matplotlib for making nice plots of your numerical stuff.
Pytorch for deep learning.
Pillow for image processing.
OpenCV for computer vision.
Pygame for 2D games (maybe a bit old, but I had lots it fun with it when I started learning programming years ago)
I love math so I was messing around with matplotlib, it's very cool, I was able to make the Mandelbrot set! 
Pandas. Python's only killer library imo
I personally also put Pydantic on the S tier.
Also, I use (geo)pandas on a regular basis and when it comes to geometric operations Shapely is an amazing library.
If you want to do web requests/ use API's, use 'requests'
graphs/reporting, I've used 'bokeh' before, it was nice.
I've never used PyDroid, so I'm not sure how you'd install things, but these are both available via pypi, python's package repository.
Pips pretty easy in pydroid, thanks! I'll have a look at requests, since I've been wanting to mess with apis
Entirely depends on the project you want to build
That's assuming I want to build a project, right now I'm messing around with numpy building arrays in different dimensions and multiplying them.
I know, but this is the weird way I learn things
Sounds like your project is building arrays in different dimensions and multiplying them.
Maybe give polars and pandas a try.
Definitely check out SciPy
I learned a lot about pandas (a library built mostly on top of numpy) by going to stackoverflow and trying to answer questions with the tag. Hopefully the questions have a minimal reproducible example and are isolated to one specific question
Perhaps BeautifulSoup for scraping data to fill your arrays...
People keep telling me that scrapy is the best for scraping but I haven't had time to try it yet.
In that case, maybe get a good textbook and follow the examples.
My man I think you missed the part about "I'm at work”
You're in luck! The book I've generally heard recommended to beginners for Python is available for free online!