• The UCI machine learning data repository.
• MLOSS: machine learning open source software repository.
• Are we there yet? recent progress on challenging computer vision datasets.
• ML competitions.

• The official Python tutorial
• Think Python, on-line book by Allen Downey
• Learn Python the hard way (not updated to Python 3)

• Python Debugging Techniques
• The Python Standard Library
• IPython: a better Python interpreter.

• Using Python on Windows

• Using Python on Macs

• A Guided Tour of Emacs, helps answer the question “Why emacs?”

• Pydev for Eclipse (if you must…)

• 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
• Tentative (basic) tutorial
• Example list
• Reference guide
• Introducing Numpy Arrays, video.

Many other related vides can be found here.

• For installing on MS Windows, see Installing SciPy / Windows.

• 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:

• The Not So Short Introduction to LATEX 2ε or LATEX 2ε in 157 minutes by Tobias Oetiker, Hubert Partl, Irene Hyna and Elisabeth Schlegl, with an excellent index useful for looking up commands
• Emacs as the Ultimate LaTeX Editor, by Piotr Kaźmierczak
• LaTeX: from quick and dirty to style and finesse, by Tony Roberts
• Online tutorials on LaTeX by the Indian TeX Users Group
• Getting to Grips with LaTeX by Andrew Roberts

There are specific editors and GUI programs to help you with LaTex (e.g. texmaker, lyx, and kile for linux, which are installed on CS machines, and miktex for windows). Personally, I either do things at the commandline and use emacs/aquamacs for editing or use one of two very good online systems: ( Overleaf or ShareLatex).

• Obtaining LaTeX, includes links to ProTeXT for Windows, and MacTeX for Macs.

See the Remote Access page department wiki.

• Don't Invert that Matrix, by John Cook
• The Matrix Cookbook, by Kaare Brandt Petersen and Michael Syskind Pedersen

• The International Machine Learning Society and its International Conference on Machine Learning
• Journal of Machine Learning Research, free, on-line
• Neural Computation
• Neural Information Processing Systems conference.