When discussing the architecture of software libraries, it is of great use to relate a conceptual overview to concrete software components. This not only increases the immediate knowledge with more definite context, but also provides a foundation for a quicker learning process during future explorations. Let's examine the modules in the matplotlib Python package.
Start by obtaining the IPython Notebook for this chapter, installing the dependencies, starting up the IPython server, and loading the notebook in your browser in the following way:
$ git clone https://github.com/masteringmatplotlib/architecture.git $ cd architecture $ make
Once the notebook is loaded, go ahead and run the initial setup commands:
In [1]: import matplotlib matplotlib.use('nbagg') %matplotlib inline
Now let's create two sets of imports, one for our dependencies and the other for modules that we've created specifically for this notebook:
In [2]: from glob import...