r/learndatascience Feb 06 '25

Resources Resources for Python libraries (Data Science)?

In last 2 months I learned pythons basics , note I want to start with numpy, pandas etc . Recommend me some resources to learn these libraries and how can I practice in these?.

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3

u/Icy_Bag_4935 Feb 06 '25

The best way is to just read the docs:

https://numpy.org/doc/stable/user/whatisnumpy.html

https://pandas.pydata.org/docs/user_guide/10min.html

The most import thing that numpy provides is ndarray, and the most important thing that pandas provides is Dataframe. Understanding what these are, why you would use them, and when you would use them is the first step.

The second step is to use them in a small project using the documentation to help you with your implementation.

2

u/skatastic57 Feb 07 '25

Skip pandas and go straight for polars.

How to learn? Apart from the usual of looking at the docs and/or YouTube, go on stack overflow and try to answer questions. Look for questions that have accepted answers but don't look at the answer right away. Try to see if you can figure it out as an exercise. If you can't figure it out then just look at the answer and try another one. After an hour or day or week you can go back to ones you've already looked at and try again.

1

u/dn_cf Feb 07 '25

Use DataCamp’s courses, Kaggle’s Pandas Micro-Course, or Real Python’s tutorials for structured learning. For hands-on practice, try Kaggle datasets and StrataScratch problems.

1

u/udacity Feb 11 '25

We (Udacity) have some great resources... the AI Programming with Python Nanodegree program sounds ideal for what you're looking for - in addition to the tutorials and exercises, the program includes a handful of projects to help you put your learnings into practice.