.. _additional_resources:
Additional Resources
====================
An enormous amount of information (including tutorials and examples) can be
found on the official websites of the packages
* `Python Website `_
* `Numpy Website `_
* `SciPy Website `_
* `Matplotlib `_
Python for scientific computing
-------------------------------
* `Python for Scientists `_ Links to commonly used packages, Matlab to Python comparison
* `Python Wiki `_ Lists packages and resources for scientific computing in Python
Numpy and Matlab
----------------
* `NumPy for Matlab Users `_
* `Python vs Matlab `_
Lessons in Python
-----------------
* `Software Carpentry `_
* `Introduction to NumPy and Matplotlib `_
Editing Python
--------------
There are numerous ways to edit and test Python
(see `PythonWiki `_ for an overview)
and in our group at least the following options are being used:
* `Sublime `_
* `Jupyter `_