wesm/gmail-backup
A Python script to download all your mail from Gmail to your local hard drive.
Discovered public repositories for wesm in the GitHub catalog.
A Python script to download all your mail from Gmail to your local hard drive.
nose is nicer testing for python
Convert JIRA dump into something more analyzable
Dynamic Visualization LEGO
Zipline, a Pythonic Algorithmic Trading Library
A free python library for accurate and scalelable deduplication and entity-resolution.
Public repository.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Minimal Cython project
there are failing tests. please find any bugs you may have introduced, fix and submit.
Pure Python imaging library with Python 2.6, 2.7, 3.1 and 3.2 support
Yet another text file reader for numpy.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
A nose plugin to use iPDB instead of PDB
vbench: A tool for benchmarking your code through time, for showing performance improvement or regressions
A paper on data tidying
Python ODBC bridge
Simple comparison of Python and R for a basic OLS analysis
Describing statistical models in Python
main repo of statsmodels
Tools used to generate the SciPy conference proceedings
PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. This a git-svn clone of the Pro veresion recently released under a BSD-flavored license by Francesc Alted!
Working on IO utilities for loading structured data into Python
scikit-learn main repo
A Cython wrapper to BLAS and LAPACK
Scipy main repository
Public repository.
Bayesian State Space and Dynamic Models
Official IPython repository
LaTeX snippets for use with the yasnippet Emacs plugin
Bayesian inference in Python
Numpy main repository
Prototyping numpy arrays with named axes for data management. Docs are available at URL below