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See the Remote Access page department wiki.
Python Programming Language, the official Python website
book by Allen Downey
Python Debugging Techniques and Python Conquers the Universe
Code Like a Pythonista: Idiomatic Python
High Performance Python, by Ian Ozsvald
IPython main site
Video tutorial on using ipython, in five parts by Jeff Rush
Video: IPython in-depth: high-productivity interactive and parallel python, at 1:22 this video summarizes the IPython Notebook.
Spyder, stands for Scientific PYthon Development EnviRonment
A Guided Tour of Emacs, helps answer the question “Why emacs?”
Here is a two page Emacs Reference Card.
The NumPy Array: A Structure for Efficient Numerical Computation, by Stéfan van der Walt, S. Chris Colbert, and Gaël Varoquaux
Python Tools for Science, by Bartosz Telenczuk
Some links provided by Brian Kraus:
Introducing Numpy Arrays, video.
Many other related vides can be found here.
For installing on MS Windows, see Installing SciPy / Windows. See the first sentence and follow the “Download” link.
Save and edit the customization file described here to modify how matplotlib makes plots.
Here is a nice short tutorial on how to combine matplotlib plots within a gui application based on wxWidgets and wxPython.
Lots of tutorials and quick starts out there:
On the computer science department's network, we have texmaker installed. Just type
> texmaker
at the unix prompt to get started. We also have LyX, which you run by
> lyx
And we have kile, which you run by
> kile
Don't Invert that Matrix, by John Cook
The Matrix Cookbook, by Kaare Brandt Petersen and Michael Syskind Pedersen