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RCE 48: NumPy

Brock Palen and Jeff Squyres speak with Travis Oliphant of Enthought Inc. about NumPy. NumPy is a package needed for scientific computing with Python.

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Travis has worked extensively with Python for numerical and scientific programming since 1997. He was the primary developer of the NumPy package and the author of the definitive Guide to NumPy. He was an early contributor to the documentation for the Numeric package and in 1999 released Multipack for Python. In 2001, he folded Multipack into SciPy as one of the original co-authors of that package. He holds B.S. and M.S. degrees from Brigham Young University in Math and Electrical Engineering, and he received a Ph.D. in Biomedical Engineering from the Mayo Clinic in 2001. From December 2000 to August 2007 he worked as an Assistant Professor of Electrical and Computer Engineering at Brigham Young University where he also directed the Biomedical Imaging Lab and taught courses in inverse problems, signal processing, probability theory, and electromagnetics.

 
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