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# Installing build dependencies

## Setting up Python virtual environment

A good practice is to create a separate Python virtual environment for each project. If you don’t have virtualenv yet, install and activate it using:

    curl -O https://raw.github.com/pypa/virtualenv/master/virtualenv.py
    python virtualenv.py <name_of_the_venv>
    . <name_of_the_venv>/bin/activate

## Installing Cython

Use `pip` (http://pypi.python.org/pypi/pip) to install Cython:

    pip install Cython>=0.16

## Installing numpy

Use `pip` to install numpy:

    pip install numpy

It takes some time to compile numpy, so it might be more convenient to install it from a binary release.

Note

Installing numpy in a virtual environment on Windows is not straightforward.

It is recommended to download a suitable binary `.exe` release from http://www.scipy.org/Download/ and install it using `easy_install` (i.e. `easy_install numpy-1.6.2-win32-superpack-python2.7.exe`).

Note

You can find binaries for 64-bit Windows on http://www.lfd.uci.edu/~gohlke/pythonlibs/.

## Installing Sphinx

Sphinx is a documentation tool that converts reStructuredText files into nicely looking html documentation. Install it with:

    pip install Sphinx

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