Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib Second Edition

This is an excellent book. It has a whole bunch of great information for Data Scientists working with Python 3. I highly recommend this book.

I noticed this book since it's in the first edition in 2015. I purchased the second edition book and I skipped over it and found it's really useful. I will suggest my university to open a new course, say "scientific and numerical computing with Python" and use this book as the text. The only regretful thing is there is no exercises in each chapter. Hopefully the writer will provide them and the solution online.

The coding work made me cry sm but this book is really useful and provides rlly smart examples of many topics

The content is enjoyable to read except the font I don’t like. It covers most important topics thought it’s impossible to be inclusive.

This is an excellent book on scientific/numeric calculations using Python. Very well written and very practical.

I liked this book. It provides an overview of many methods in scientific computation using python. However, this text is outdated with respect to current python implementations.

This is a weirdly enjoyable read. It gives exactly the right amount of information at the right pace.

Good