Papers about Python and scientific computing

Here is a list of articles about Python and scientific computing appeared in Computing in Science and Engineering, available online:

• Python for Scientific Computing by Travis E. Oliphant (pdf);
• Python: Batteries included by Paul F. Dubois;
• A Python module for modeling and control design of flexible robots by Ryan W. Krauss;
• Analysis of Functional Magnetic Resonance Imaging in Python by K. Jarrod Millman and Matthew Brett, Computing in Science and Engineering, vol. 9, no. 3, pp. 52-55, May/June, 2007;
• IPython: A System for Interactive Scientific Computing by Fernando Perez;
• Matplotlib: a 2D Graphics Environment by John D. Hunter.

Happy reading!