A collection of programs with scipy module of python, dealing with scientific and mathematical functions (1) Evaluation of a (sin(x)/(x)) ^ 2 (2) Evaluation of sine integral

This is mainly for my own purposes to keep up with some rough drafts while between workstations. I blog about the project here: http://scipystats.blogspot.com

*News: all of the few remaining calls to scipy have been replaced with calls to numpy. Versions 0.1.8 and above do not require scipy as a dependency.* = Introduction = This library provides Python functions for agglomerative clustering. Its features include * generating hierarchical clusters...

== What it is == The `numexpr` package evaluates multiple-operator array expressions many times faster than [http://numpy.scipy.org/ NumPy] can. It accepts the expression as a string, analyzes it, rewrites it more efficiently, and compiles it to faster Python code on the fly. It's the next ...

<table align="center" border=0> <tr><td> <a href="http://code.google.com/p/pyamg/downloads/list"> <img src="http://pyamg.googlecode.com/files/PyAMG_logo.png"/> </a> </td></tr> </table> <table align="center" border="0"> <tr> <td> <img width="150" height="100" src="http://pyamg.googlecode...

scikits.sparse is a home for sparse matrix code in Python that plays well with scipy.sparse, but that is somehow unsuitable for inclusion in scipy proper. Usually this will be because it is released under the GPL. So far we have a wrapper for the [http://www.cise.ufl.edu/research/sparse/cholmod/ ...

Repository for scripts for testing and usage examples The focus of extending scipy.stats has shifted currently to statsmodels at http://launchpad.net/statsmodels Scripts and modules for statistical analysis in this repository should be gradually integrated into statsmodels or scipy.stats

A project in Python for caltech's cs145c. Tools for loading in internet data and using scipy to do some statistics.

Just to try out some graph clustering algorithms.

Imagine the situation where you need to pass of a series of numbers contained in a file through a series of transformations like absolute, logarithm, square power, cubic power and so on. Well, you think: - Wow, I need to open my editor write a program to read a file, put its content into a numeri...