You should read this guide if you intent to develop models using the DANA computing framework and especially if your models belong to the computational neuroscience domain. DANA is a python library and depends heavily on external library such as numpy and scipy. However, this guide does not provide a tutorial to the python language neither an introduction to the numpy/scipy libraries. If you're unfamiliar with both of them, you'encouraged to document yourself first by considering external resources for both python, numpy and scipy.
The dana handbook.
Getting started with a new library or framework can be daunting, especially when presented with a large amount of reference material to read. This chapter gives a very quick introduction to dana without covering any of the details.
A quickstart to dana for the impatients.
Most of the application programming inteface can be read directly from a terminal session:
$ pydoc dana.Group
or from within a python/ipython session:
>>> import dana >>> help(dana.Group)
This chapter is only a direct transcription of these documentation.
Application programming interface available from here.
For information about to frequently asked questions, please visit the FAQ
