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Numpy Beginner's Guide (Update)

You're reading from Numpy Beginner's Guide (Update) Build efficient, high-speed programs using the high-performance NumPy mathematical library

Product type Paperback

Published in Jun 2015

Publisher

ISBN-13 9781785281969

Length 348 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Author (1):

Ivan Idris

View More author details

Table of Contents (16) Chapters

Preface

1. NumPy Quick Start FREE CHAPTER

2. Beginning with NumPy Fundamentals

3. Getting Familiar with Commonly Used Functions

4. Convenience Functions for Your Convenience

5. Working with Matrices and ufuncs

6. Moving Further with NumPy Modules

7. Peeking into Special Routines

8. Assuring Quality with Testing

9. Plotting with matplotlib

10. When NumPy Is Not Enough – SciPy and Beyond

11. Playing with Pygame

A. Pop Quiz Answers

B. Additional Online Resources

C. NumPy Functions' References

Index

Time for action – installing NumPy, SciPy, matplotlib, and IPython with MacPorts or Fink

Alternatively, we can install NumPy, SciPy, matplotlib, and IPython through the MacPorts route or with Fink. The following installation steps show how to install all these packages:

Installing with MacPorts: Type the following command:

$ [sudo] port install py-numpy py-scipy py-matplotlib py-ipython

Installing with Fink: Fink also has packages for NumPy—scipy-core-py24, scipy-core-py25, and scipy-core-py26. The SciPy packages are scipy-py24, scipy-py25 and scipy-py26. We can install NumPy and the additional recommended packages, referring to this book on Python 2.7, using the following command:
```
$ fink install scipy-core-py27 scipy-py27 matplotlib-py27
```

What just happened?

We installed NumPy and the additional recommended software on Mac OS X with MacPorts and Fink.

You have been reading a chapter from

Numpy Beginner's Guide (Update)

Published in: Jun 2015

Publisher:

ISBN-13: 9781785281969

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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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