
Python
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Scientific Analysis in Python
Python based scientific analysis cookbook James Battat Created: October 3, 2006 Last Modified: July 12, 2010 I find Python very user-friendly.In order to compliment my linear regression in google docs post (and because I keep forgetting how to do it), here is a quick and dirty guide to linear regression using python and pylab . First some notes. One, there is some good info on this online (how else do you think I find this stuff?).
Linear regression with pylab | Wired Science | Wired.com
Python for Scientists
matplotlib: python plotting — Matplotlib v1.0.1 documentation
VPython
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined.
Scientific Computing Tools For Python — Numpy
SciPy -
SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy , which provides convenient and fast N-dimensional array manipulation.Second release candidates for Python 2.6.8, 2.7.3, 3.1.5, and 3.2.3 released Another iteration of release candidates for Python 2.6.8 , 2.7.3 , 3.1.5 , and 3.2.3 have been released for testing.

