NumPy, SciPy and SciKits: Difference between revisions

From AstroEdWiki
Jump to navigation Jump to search
(Created page with "Python provides a framework on which numerical and scientific data processing can be built. As part of our [http://prancer.physics.louisville.edu/astrowiki/index.php/Python_f...")
 
No edit summary
Line 1: Line 1:
Python provides a framework on which numerical and scientific data processing can be built.  As part of our [http://prancer.physics.louisville.edu/astrowiki/index.php/Python_for_Physics_and_Astronomy short course on Python for Physics and Astronomy] we will look at the capabilities of the Numpy, Scipy and Scikit packages.
Python provides a framework on which numerical and scientific data processing can be built.  As part of our [http://prancer.physics.louisville.edu/astrowiki/index.php/Python_for_Physics_and_Astronomy short course on Python for Physics and Astronomy] we will look at the capabilities of the [http://www.numpy.org NumPy], [http://www.scipy.org/ SciPy] and [http://scikits.appspot.com/scikits SciKits] packages.


== Numpy==
== NumPy==

Revision as of 21:09, 20 February 2013

Python provides a framework on which numerical and scientific data processing can be built. As part of our short course on Python for Physics and Astronomy we will look at the capabilities of the NumPy, SciPy and SciKits packages.

NumPy