Subtitled "High-performance scientific computing with NumPy, SciPy, and pandas", in this book Claus Führer, Jan Erik Solem and Olivier Verdier explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. The book also covers numerical computation modules such as NumPy and SciPy, the plotting module Matplotlib, and SymPy, a tool for bridging symbolic and numerical computations.

Author: Claus Führer, Jan Erik Solem and Olivier Verdier
Publisher: Packt Publishing
Date: July 2021
Pages: 392
ISBN: 978-1838822323
Print: 1838822321
Kindle: B0933KX5MP
Audience: Python developers
Level: Intermediate
Category: Python

Topics covered:

• Understand the building blocks of computational mathematics, linear algebra, and related Python objects
• Use Matplotlib to create high-quality figures and graphics to draw and visualize results
• Apply object-oriented programming (OOP) to scientific computing in Python
• Discover how to use pandas to enter the world of data processing
• Handle exceptions for writing reliable and usable code
• Cover manual and automatic aspects of testing for scientific programming
• Get to grips with parallel computing to increase computation speed

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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