VIM + python

Refs
https://github.com/b4winckler/macvim
https://github.com/crosbymichael/.dotfiles
http://blog.othree.net/log/2010/11/22/vim-for-python/

decorator + cprofile +sqlite3 python

Refs:
http://stackoverflow.com/questions/5375624/a-decorator-that-profiles-a-method-call-and-logs-the-profiling-result
http://www.doughellmann.com/PyMOTW/profile/
http://www.artima.com/weblogs/viewpost.jsp?thread=240808 http://docs.python.org/dev/library/functools.html

Download:
https://docs.google.com/open?id=0B35jh2lwIpeKb3R0Mnp6ckhGZTA

python table HDF5

The HDF5 library is a versatile, mature library designed for the storage of numerical data. The h5py package provides a simple, Pythonic interface to HDF5. A straightforward high-level interface allows the manipulation of HDF5 files, groups and datasets using established Python and NumPy metaphors. HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accesed using the tradional POSIX /path/to/resource syntax. Refs: example https://github.com/qsnake/h5py/tree/master/h5py/tests http://code.google.com/p/h5py/ http://alfven.org/wp/hdf5-for-python/ http://pytables.github.com/usersguide/