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Fernando Perez: Guido van Rossum at UC Berkeley's Py4Science
Links to the video of the meeting
spyderlib - Project Hosting on Google Code
"Spyder (previously known as Pydee) is a free open-source Python development environment providing MATLAB-like features in a simple and light-weighted software, available for Windows XP/Vista/7, GNU/Linux and MacOS X. "
ANN: Image Processing SciKit - scikits-image | Google Groups
"After a short sprint at SciPy 2009, we've put together the
infrastructure for an Image Processing SciKit. The source code [1]
and documentatin [2] is available online. WIth the infrastructure in
place, the next focus will be on getting contributions (listed at [3])
merged.
If you have code for generally useful image processing algorithms
available, please consider contributing. Feel free to join further
discussions on the scikit mailing list [4]"
Mathesaurus
A reference for switching between scientific environments (e.g. Matlab, Numpy, R)
Review: Beginning Python Visualization | FlowingData
Not sure if the book would be useful for people already familiar with numpy/scipy. Some parts of scipy are barely documented (e.g. spline interpolation) but that might change soon. "Once I got the packages installed correctly though, it was smooth sailing. Everything is explained clearly, and I'm sure I'll be referring back to it as I use Python more."
Tutorial: Scientific and parallel computing using IPython | Python for Scientific and Large Scale Computing
"This series introduces scientific and parallel computing using IPython with emphasis on IPython on a Windows PC. We discuss best practices for effectively using IPython with numpy, scipy, and matplotlib, as well has using IPython for interactive parallel computation." By J. Unpingco, who created the parallel ipython+vision (visual programming environmente) demo.
spdproject - Google Code
A python distribution based on Sage but with finer control of which packages get installed. Apparently, everything is compiled from source. I guess Enthought tools could be a better solution than this, If only I could get Enthought to install properly... Well, the Sage notebook in itself is enough to make SPD interesting.
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based on Sage, but the standard download has only 2MB and then you only install packages that you really need.
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a Python distribution and many optional (mainly scientific) packages. Everything fully builds from source on any platform (any linux, Mac OS X, clusters and soon windows
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