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Guide to NumPy: 2nd Edition

Travis E. Oliphant PhD




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 | #193718 in Books |  2015-09-15 | Original language:English | PDF # 1 |  10.00 x.82 x7.00l,1.40 | File type: PDF | 364 pages

||9 of 9 people found the following review helpful.| A nice update to the original classic|By Tyler J. Alumbaugh|I read the first edition of "Guide to Numpy" in 2006, at the suggestion of Paul Dubois, whose role in the story of Numpy is described in this book. It was the description of the Numpy C-API in this book that both solved a real problem for me at the time and got me hooked on using Numpy for scientific computing.
About the Author|Travis E. Oliphant, a passionate advocate of open source technology, has a Ph.D. from Mayo Clinic and B.S. and M.S. degrees in Mathematics and Electrical Engineering from Brigham Young University. Since 1997, he has worked extensively with Pytho

This is the second edition of Travis Oliphant's A Guide to NumPy originally published electronically in 2006. It is designed to be a reference that can be used by practitioners who are familiar with Python but want to learn more about NumPy and related tools. In this updated edition, new perspectives are shared as well as descriptions of new distributed processing tools in the ecosystem, and how Numba can be used to compile code using NumPy arrays. Travis Oliphant is...

You easily download any file type for your gadget.Guide to NumPy: 2nd Edition   |  Travis E. Oliphant PhD. A good, fresh read, highly recommended.

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