+ 1

Numpy & Pandas resources

I made some digging and enroll Python for Data Science. From there they introduced mentioned modules. However the explanation is too shadow and I'm fully understand it. Can someone point me to other resources which are beginners friendly? I prefer it will teach you in small chunks instead of give you a long webpage full of content, which I had a hard time study on screen. Thanks.

4th Jul 2023, 10:26 AM
Wong Hei Ming
Wong Hei Ming - avatar
7 Answers
4th Jul 2023, 4:39 PM
Lothar
Lothar - avatar
+ 7
And there's this under the community tab: https://www.sololearn.com/learn/6671/?ref=app
4th Jul 2023, 1:30 PM
Ausgrindtube
Ausgrindtube - avatar
+ 3
Sorry, so is it more panda and numpy you're looking for?
4th Jul 2023, 1:26 PM
Ausgrindtube
Ausgrindtube - avatar
+ 3
This code seems to give some good comments and code for numpy https://code.sololearn.com/cgHuSHW0BYM7/?ref=app
4th Jul 2023, 1:30 PM
Ausgrindtube
Ausgrindtube - avatar
4th Jul 2023, 10:50 AM
Ausgrindtube
Ausgrindtube - avatar
+ 2
Thanks for your reply, Ausgrindtube. The link you gave is very similar to Python Core's Function & Modules section, especially the "Modules" module. I finished all lessons from Python Core without much trouble. However Python Core doesn't cover Numpy and Pandas, which are being teach in Python for Data Science. I'm looking for materials pretty much like "Automate the Boring Stuff with Python" by Al Sweigart. I tried Numpy's official "NumPy: the absolute basics for beginners" but the page is too long and introduce similar function without details explanation or real life example, which confuse me a lot.
4th Jul 2023, 12:46 PM
Wong Hei Ming
Wong Hei Ming - avatar
+ 2
You could also go directly to the source, and try the tutorials and user guides on the libraries' own website. https://numpy.org/learn/ https://pandas.pydata.org/docs/user_guide/index.html And if you feel even more adventurous, you can take a look at polars. It is another dataframe library, a potential substitute for pandas, but more modern, much faster, and it can work with large data sets. https://www.pola.rs/
4th Jul 2023, 8:25 PM
Tibor Santa
Tibor Santa - avatar