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You're reading from Learning NumPy Array

Product typeBook

Published inJun 2014

Reading LevelIntermediate

Publisher

ISBN-139781783983902

Edition1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Science

Author (1)

Ivan Idris

Installing NumPy, Matplotlib, SciPy, and IPython on Linux

Installing NumPy and related recommended software on Linux depends on the distribution you have. We will discuss how you would install NumPy from the command line although you could probably use graphical installers; it depends on your distribution (distro). The commands to install Matplotlib, SciPy, and IPython are the same—only the package names are different. Installing Matplotlib, SciPy, and IPython is recommended, but optional.

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

Run the following instructions from the command line for installing NumPy on Red Hat:
```
yum install python-numpy
```
To install NumPy on Mandriva, run the following command-line instruction:
```
urpmi python-numpy
```
To install NumPy on Gentoo, run the following command-line instruction:
```
sudo emerge numpy
```
To install NumPy on Debian or Ubuntu, we need to type the following:
```
sudo apt-get install python-numpy
```

The following table gives an overview of the Linux distributions and 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`

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Learning NumPy Array

Published in: Jun 2014Publisher: ISBN-13: 9781783983902

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Author (1)

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.
Read more about Ivan Idris

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