I'm at work in a slow moment with only my phone and pydroid, I wanted to see if there was anything I could learn and mess around with while I'm here
I'm at work in a slow moment with only my phone and pydroid, I wanted to see if there was anything I could learn and mess around with while I'm here
21 Comments
ericjmorey@programming.dev · 20 pts · 2y
Entirely depends on the project you want to build
yokonzo@lemmy.world · 3 pts · 2y
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
ericjmorey@programming.dev · 8 pts · 2y
Sounds like your project is building arrays in different dimensions and multiplying them.
Maybe give polars and pandas a try.
Definitely check out SciPy
exu@feditown.com · 7 pts · 2y
In that case, maybe get a good textbook and follow the examples.
yokonzo@lemmy.world · -1 pts · 2y
My man I think you missed the part about "I'm at work”
kakes@sh.itjust.works · 7 pts · 2y
You're in luck! The book I've generally heard recommended to beginners for Python is available for free online!
MalReynolds@slrpnk.net · 5 pts · 2y
Perhaps BeautifulSoup for scraping data to fill your arrays...
ericjmorey@programming.dev · 1 pts · 2y
People keep telling me that scrapy is the best for scraping but I haven't had time to try it yet.
megaman@discuss.tchncs.de · 3 pts · 2y
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
Olap@lemmy.world · 10 pts · 2y
Pandas. Python's only killer library imo
dallen@programming.dev · 3 pts · 2y
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.
flubba86@lemmy.world · 8 pts · 2y
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.
yokonzo@lemmy.world · 3 pts · 2y
Well I mean obviously the answer is eggs
Knock_Knock_Lemmy_In@lemmy.world · 1 pts · 2y
The ingredients I chose first are pandas.
magic_lobster_party@kbin.run · 8 pts · 2y
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)
yokonzo@lemmy.world · 5 pts · 2y
I love math so I was messing around with matplotlib, it's very cool, I was able to make the Mandelbrot set!
anzo@programming.dev · 5 pts · 2y
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.
nxdefiant@startrek.website · 4 pts · 2y
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.
yokonzo@lemmy.world · 1 pts · 2y
Pips pretty easy in pydroid, thanks! I'll have a look at requests, since I've been wanting to mess with apis
Phegan@lemmy.world · 2 pts · 2y
yokonzo@lemmy.world · 0 pts · 2y
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
ExperimentalGuy@programming.dev · 1 pts · 2y
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.