An example-rich, comprehensive guide for all of your Python computational needs
Key Features
Your ultimate resource for getting up and running with Python numerical computations
Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
A hands-on guide to implementing mathematics with Python, with complete coverage of all the key concepts
Book Description
Python can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.
What you will learn
The principal syntactical elements of Python
The most important and basic types in Python
The essential building blocks of computational mathematics, linear algebra, and related Python objects
Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results
Define and use functions and learn to treat them as objects
How and when to correctly apply object-oriented programming for scientific computing in Python
Handle exceptions, which are an important part of writing reliable and usable code
Two aspects of testing for scientific programming: Manual and Automatic
Who this book is for
This book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed.