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

Good

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 book covers a large number of libraries, so naturally it tries to teach you only the basics of each one so you will be able more easily to explore the gory details of each library by yourself.Overall, its great book for starters who know what there mathematical needs are and want to familiarize themselves with the popular mathematical libraries such as numpy, sympy, scipy, and the more advanced ones such as fenics, fipy etc.4/5

Easily readable and complete. It has many clear examples.

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 However, this text is outdated with respect to current python implementations.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 an excellent book. It has a whole bunch of great information for Data Scientists working with Python 3. I highly recommend this book.

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