Leverage this example-packed, comprehensive guide for all your Python computational needs Key Features * Gain a complete understanding of the updates in Python 3.9 using SciPy and NumPy * Explore task automation in scientific computing using Jupyter Notebook and Cython integration in Python * Delve into essential mathematical concepts and algorithms Book Description Python has tremendous potential for use within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, high performance, and parallel computing to help you perform mathematical and scientific computing efficiently using Python. This book will help you to explore new Python syntax features and enable you to 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 3.9. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and additional built-in features. You'll also explore numerical computation modules such as NumPy, SciPy, and SymPy, which enable high performance for scientific computations, and open source plotting modules such as Matplotlib and ggplot for creating interactive plots. By the end of this Python book, you'll have gained a solid understanding of task automation and essential mathematical concepts and algorithms along with integrations for faster computation in scientific computing. What you will learn * 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 for scientific computing in Python * Discover how to use pandas to meet modern needs in scientific computing * Handle exceptions for writing reliable and usable code * Cover manual and automatic aspects of testing for scientific programming * Get to grips with high performance and parallel computing for increasing computation speed Who This Book Is For This book is for data scientists, researchers, developers, and anyone who wants to perform mathematical and scientific computation in Python. Prior programming experience with Python will assist with understanding the key concepts covered in this book.

Book Information
ISBN 9781838822323
Author Claus Fuhrer
Format Paperback
Page Count 481
Imprint Packt Publishing Limited
Publisher Packt Publishing Limited