Useful ipython notebooks

Here is a large collection of useful ipython notebooks.

RcppOctave

The RcppOctave may provide the right amount of Matlab to try the examples in this excellent book.

Making tables using R

Both the "tables" and "etable" packages are useful for making cross-tabulations.

Useful ipython notebooks

There is probably no better way to demonstrate computer code than ipython notebook. Here are a number of examples that I find useful:

• Mining the social web;
• Maximum likelihood using sympy;
• Working with pandas;

Giving R the strengths of Stata

Useful information.

Big data and Bayesian inference

This post provides invaluable information about the use of Bayesian method in big data analysis. I did not realize before that the LapLacesDemon package has provides such a powerful and versatile environment for Bayesian inference.

Right now the package works at fairly low level. The user needs to specify the likelihood function and take care of various kinds of details. A wrapper package that provides a simplified interface and reasonable default options will be an excellent addition and probably will help attracting a much wider use base.

Don't use Hadoop - your data isn't that big

Here.

The joy and martyrdom of trying to be a Bayesian

Here.

Use the open source R in the similar way to SAS

Here is how. Very good examples!

By the way, learning materials for the ff package are surprisingly sparse.