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Learning NumPy Array

You're reading from Learning NumPy Array Supercharge your scientific Python computations by understanding how to use the NumPy library effectively

Product type Paperback

Published in Jun 2014

Publisher

ISBN-13 9781783983902

Length 164 pages

Edition Edition

Languages

Python

Tools

NumPy

Concepts

Data Science

Author (1):

Ivan Idris

View More author details

Table of Contents (14) Chapters

Learning NumPy Array

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Getting Started with NumPy FREE CHAPTER

2. NumPy Basics

3. Basic Data Analysis with NumPy

4. Simple Predictive Analytics with NumPy

5. Signal Processing Techniques

6. Profiling, Debugging, and Testing

7. The Scientific Python Ecosystem

Index

Chapter 2. NumPy Basics

After installing NumPy and getting some code to work, it's time to cover NumPy basics. This chapter introduces you to the fundamentals of NumPy and arrays. At the end of this chapter you will have a basic understanding of NumPy arrays and their associated functions.

The topics that we shall cover in this chapter are as follows:

Data types
Array types
Type conversions
Creating arrays
Indexing
Fancy indexing
Slicing
Manipulating shapes

The rest of the chapter is locked

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Authors (1)

Ivan Idris

Ivan Idris

Ivan Idris has an MSc in experimental physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are business intelligence, big data, and cloud computing. Ivan Idris enjoys writing clean, testable code and interesting technical articles. Ivan Idris is the author of NumPy 1.5. Beginner's Guide and NumPy Cookbook by Packt Publishing.

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