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NumPy Cookbook

You're reading from NumPy Cookbook If you're a Python developer with basic NumPy skills, the 70+ recipes in this brilliant cookbook will boost your skills in no time. Learn to raise productivity levels and code faster and cleaner with the open source mathematical library.

Product type Paperback

Published in Oct 2012

Publisher Packt

ISBN-13 9781849518925

Length 226 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Science

Table of Contents (17) Chapters

NumPy Cookbook

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Winding Along with IPython

2. Advanced Indexing and Array Concepts FREE CHAPTER

3. Get to Grips with Commonly Used Functions

4. Connecting NumPy with the Rest of the World

5. Audio and Image Processing

6. Special Arrays and Universal Functions

7. Profiling and Debugging

8. Quality Assurance

9. Speed Up Code with Cython

10. Fun with Scikits

Index

Introduction

Quality assurance, contrary to popular belief, is not so much about finding bugs as it is about preventing them. We will discuss two ways to improve the code quality, thereby preventing issues. First, we will do static analysis of already existing code. Second, we will cover unit testing; this includes mocking and Behavior Driven Development (BDD).

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