Book description
An examplerich, comprehensive guide for all of your Python computational needs
About This Book
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 handson guide to implementing mathematics with Python, with complete coverage of all the key concepts
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.
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 objectoriented 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
In Detail
Python can be used for more than just generalpurpose 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.
Style and approach
This book takes a conceptbased approach to the language rather than a systematic introduction. It is a complete Python tutorial and introduces computing principles, using practical examples to and showing you how to correctly implement them in Python. You’ll learn to focus on highlevel design as well as the intricate details of Python syntax. Rather than providing canned problems to be solved, the exercises have been designed to inspire you to think about your own code and give you realworld insight.
Publisher resources
Table of contents

Scientific Computing with Python 3
 Scientific Computing with Python 3
 Credits
 About the Authors
 About the Reviewer
 www.PacktPub.com
 Acknowledgement
 Preface
 1. Getting Started
 2. Variables and Basic Types
 3. Container Types
 4. Linear Algebra – Arrays
 5. Advanced Array Concepts
 6. Plotting
 7. Functions
 8. Classes
 9. Iterating
 10. Error Handling
 11. Namespaces, Scopes, and Modules
 12. Input and Output
 13. Testing
 14. Comprehensive Examples
 15. Symbolic Computations  SymPy
 References
Product information
 Title: Scientific Computing with Python 3
 Author(s):
 Release date: December 2016
 Publisher(s): Packt Publishing
 ISBN: 9781786463517
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