To give a taste of what's to come, let's start up a matplotlib IPython Notebook and look at an example. You will need to download the example from a GitHub repository first:
$ git clone https://github.com/masteringmatplotlib/preview.git $ cd preview
You only need to do the following in order to bootstrap an environment with all the notebook dependencies and start up the notebook server:
$ make
This will do several things for you automatically, some of which are as follows:
Clone a support repository holding various
includefilesCreate a Python virtual environment
Install matplotlib and other scientific computing Python modules into this virtual environment
Start an IPython Notebook server that runs on local host
Open a browser window and load the
previewnotebook in it
In this browser window, you can run the code yourself by selecting each code section and hitting the Shift and Enter keys to execute it. Let's go through an example.