I've been a Data Scientist for a few years now, but I've only recently started to do most of my work in Python (boy, do I miss
altair is coming to the rescue).
I want to improve my Python skills and, since most of my work is related to developing Data Science & Analytics applications, I'd rather learn from a book about these topics than from a book on, say, Application Server frameworks. Also, since I mostly develop Deep Learning models, I was looking for a PyTorch book. However I could only find two, of which one is really crappy, and the other one is from authors I really respect, but on a topic I don't work with (NLP):
So I've done a bit of research and found about the following books:
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython(second edition recently came out)
Which book would you choose? You're free to suggest other titles. Requirements, in order of importance:
- It should be a good book about Python, so the code should be Pythonic
- It should be about about PyTorch, but not only about NLP (this requirement will probably be unfulfilled, for reasons above). Not about Keras, or mainly about Keras: I already have a reference for that.
- It should be about Data Science
Price is not an issue.