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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

Debugging is the act of finding and removing bugs in software. Profiling is about building a profile of a software program in order to collect information about memory usage or time complexity. Profiling and debugging are activities that are an integral part of the life of a developer. This is especially true for non-trivial software. The good news is that there are lots of tools to help you. We will review a number of techniques that are popular amongst NumPy users.

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