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

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, matplotlib, SciPy, and IPython on Linux

Most Linux distributions have NumPy packages. We will go through the necessary commands for some of the most popular Linux distros:

Installing NumPy on Red Hat: Run the following instructions from the command line:
```
$ yum install python-numpy
```
Installing NumPy on Mandriva: To install NumPy on Mandriva, run the following command line instruction:
```
$ urpmi python-numpy
```
Installing NumPy on Gentoo: To install NumPy on Gentoo, run the following command line instruction:
```
$ [sudo] emerge numpy
```

Installing NumPy on Debian and Ubuntu: On Debian or Ubuntu, type the following on the command line:

$ [sudo] apt-get install python-numpy

The following table gives an overview of the Linux distributions and the corresponding package names for NumPy, SciPy, matplotlib, and IPython:

Linux distribution	NumPy	SciPy	matplotlib	IPython
Arch Linux	`python-numpy`	`python-scipy`	`python-matplotlib`	`ipython`
Debian	`python-numpy`	`python-scipy`	`python-matplotlib`	`ipython`
Fedora	`numpy`	`python-scipy`	`python-matplotlib`	`ipython`
Gentoo	`dev-python/numpy`	`scipy`	`matplotlib`	`ipython`
OpenSUSE	`python-numpy, python-numpy-devel`	`python-scipy`	`python-matplotlib`	`ipython`
Slackware	`numpy`	`scipy`	`matplotlib`	`ipython`