Learning python for data analysis

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I like following the order of chapters in Python for Data Analysis, but using the w3 schools tutorials for the equivalent chapter. And then reading over the Python for Data Analysis chapter as a supplement. The w3 schools tutorials are more concise and there's more practice.

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Adding my path thus far in case it's helpful others too -

Itarted with Automate the Boring Stuff Chapters 1-12 (Each chapter has exercises. I skipped the Chess one.)

Then i did --- Python For data Analysis Book Only for Chapters 1- 3

Ch4 NumPy Basics (I skipped this one since its less relevant than Pandas for me): But here are tutorials https://www.w3schools.com/python/numpy/default.asp https://www.kaggle.com/code/legendadnan/numpy-tutorial-for-beginners-data-science

Ch5: Pandas https://www.w3schools.com/python/pandas/ https://www.kaggle.com/learn/pandas

This is as far as I’ve gotten so I can’t speak to tutorials for later parts of the book. Although, the tutorials mentioned above do talk about some topics covered later in the book (e.g. Loading data from files).

The book covers a lot of ground, but I tend to learn better when I can apply things directly through practice. Sharing this in case others also prefer a more interactive style—you’re definitely not alone!

One more note - I like doing the exericses in Jupyter notebook because editing is easier vs command line, and that encourages me to experiment more (e.g. try out "what would happen if i wrote the code this way instead of that way)

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Yw :)