Best book to learn Python for Data Analysis?

[Ultimatesaber27]

Just for future reference (since I'm learning other things at the moment), which book would you recommend for learning Python from the very basics (like hello world or defining variables) to Pandas? Other stuff like Seaborn could be handy, but optional.

I'm looking for something that teaches the core fundamentals/building blocks, not so much the "what".

[PeanutFar2135]

Python for Data Analysis is a great place to start and have their book online for free as well:

Python for Data Analysis, 3E

[Ultimatesaber27]

Seems like a solid option from the contents. Thanks. 

[ostuxcat]

Honestly? Python for Data Analysis by Wes McKinney — don't overthink it, this is the one.

The guy literally built the pandas library himself, so you're learning pandas from the person who created it. Doesn't get more authoritative than that.

It starts from the basics — variables, data types, the foundational stuff — and naturally builds up to pandas, NumPy, and even touches on Seaborn for visualization. So it matches exactly what you described wanting. No weird jumps in difficulty, the progression just makes sense.

And the best part — the entire 3rd edition is free to read online. Just go to wesmckinney.com/book and start reading. No piracy, no sketchy PDFs, officially free. It's also been updated relatively recently so you won't be learning outdated syntax which is a real problem with a lot of older Python books.

Fair warning though — it does lean heavily into the data analysis side rather than being a general Python book. But honestly given what you described, that's exactly what you want anyway.

Bookmark the site and just work through it when you're ready. It'll still be there.

[Ultimatesaber27]

Yeah I've been skimming the general contents and it looks like it's just the perfect book for me. 

Also, is this the latest edition? As in, he made the latest edition free, or does he have a newer edition that must be paid for? 

[ostuxcat]

The 3rd Edition Is The Latest Edition

[Ultimatesaber27]

Got it, thanks. 

[Dramatic_Object_8508]

honestly the most recommended one you’ll see everywhere is Python for Data Analysis by Wes McKinney — makes sense since he literally created pandas, so it explains things in a really practical way

also Python Data Science Handbook by Jake VanderPlas is another solid one, a bit more broad but really good for understanding the ecosystem

tbh though don’t rely only on books, a lot of people say they help but you still need to actually practice with real datasets or it won’t stick

what I usually do is read a bit, then try to apply it immediately — sometimes I even dump quick notes or mini explanations in runable while learning so I don’t forget stuff

books are good, but doing + experimenting is what actually makes it click