I maintain several open-source programs, mostly revolving around science or maths. Hopefully some of this will be useful to other people. See also my repository on github.

- Scikit-Monaco
- Monte Carlo integration library for Python
- gmaps
- Google maps in the IPython notebook

Scikit-Monaco is a Monte Carlo integration library for Python.

A code snippet is worth a thousand words. Let's integrate \(\sqrt{x^2 + y^2 + z^2}\) in the unit cube:

>>> from skmonaco import mcquad >>> from math import sqrt >>> result, error = mcquad( ... lambda xs: sqrt(xs[0]**2+xs[1]**2+xs[2]**2), ... npoints=1e6, xl=[0.,0.,0.], xu=[1.,1.,1.]) >>> print "{} +/- {}".format(result,error) 0.960695982212 +/- 0.000277843266684

Monte Carlo integration is particularly suited to the calculation of high dimensional integrals. Scikit-Monaco is written in Cython, aiming to offer quasi C-like speeds with the flexibility of Python. The integration is automatically distributed over several processes to take advantage of multi-core processors.

The easiest way to download and install Scikit-Monaco is with easy-install,

$ easy_install scikit-monacoIf you do not have root access, use the

`--prefix=/path/to/directory`

option to install
scikit-monaco in a directory that you have access to, and add
the line
export PYTHONPATH=$PYTHONPATH:path/to/directoryto your

`.bashrc`

file.
Google maps in IPython notebooks

You have some latitude and longitude data in a Python list or a numpy array. You want to see where that data is. This plugin for the IPython notebook makes that easy.