According to the official website http://www.numpy.org/, NumPy is the fundamental package for scientific computing with Python. It contains amongst other things:

A powerful N-dimensional array object

Sophisticated (broadcasting) functions

Tools for integrating C/C++ and Fortran code

Useful linear algebra, Fourier transform, and random number capabilities

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of the generic data. Arbitrary datatypes can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of datasets.

To install numpy, simply open a command prompt and run.

**$ sudo apt-get install python3-numpy**

To check whether everything is installed correctly, just execute the Python Shell shown as follows:

**$ idle3**

Then execute the following commands:

>>> import numpy >>> numpy.test()

### Tip

We need to use the `nose`

library (that extends the test loading and running features of unit test) when using `numpy.test()`

.

In order to install it, we just need to open a command line and run the following command:

**$ sudo apt-get install python3-nose**

Or you can also execute:

**$ pip install nose**

For more information about the `nose`

library, visit https://pypi.python.org/pypi/nose/1.1.2.

First, download the NumPy 1.7 from the official website http://sourceforge.net/projects/numpy/files/NumPy/1.7.0/.

The Windows version is provided as an `.exe`

package. To install it manually, just double click on the `/numpy-1.7.0-win32-superpack-python3.2.exe`

file.

To check whether everything is installed correctly, just navigate to **Start** | **All Programs** | **Python 3.2** | **IDLE (Python GUI)**.

Then execute the following commands:

>>> import numpy >>> numpy.test()

### Tip

We need to use the `nose`

library (that extends the test loading and running features of unit test) when using `numpy.test()`

.

In order to install it, you just need to open a Windows command line (CMD) and run the following command:

**C:\> pip install nose**

For more information about `nose`

, visit https://pypi.python.org/pypi/nose/1.1.2.