Cheat Sheets

Here is a good place to find some math related cheat sheets.

Here is a fine place to get any cheat sheet you could want. Programming, math... just about everything.

C++ Sources

Cpluplus dot comma is found here.

GSL - GNU Scientific Library

A set of scientific libraries for C/C++ can be found here.

Installation and compilation instructions found here.

Cython

The Cython documentation can be found here.

Gantt Chart in OpenOffice

Go here.

SSH and SCP

This is my ssh and scp goto page. (goto. lol.)

Microsoft fonts in Ubuntu

Here is a good tutorial for loading the traditional Microsoft fonts into Ubuntu.

Open Course Work from MIT

MIT's open course work website can be found here.

Call for Abstracts

A good resource for writing abstract can be found here.

Variance

Different programs implement variance in different ways. This can lead to confusing results when you move from one set of functions to another.

scipy.stats.cov() normalizes by (N-1), by default, bias=False. By setting bias=True, you will normalize by N.

However, scipy.var() normalizes by N.

In Octave, var( x, 0 ) biases by N-1, and var( x, 1 ) biases by N.

Matlab and R, I think, do things slightly differently.

NumPy and Input/Output

Super dooper resource for NUmPy I/O can be found here. Includes information on how to interpret binary data, and use the NumPy alias of the the MATLAB fread() function.

GNU Octave

GNU Octave Manual, version 3, is found here.