Scientific Computation: Python Hacking for Math Junkies

Scientific Computation: Python Hacking for Math Junkies cover

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Author: Bruce E Shapiro

Pages: 554

Size: 1.916,14 Kb

Publication Date: January 11,2015

Category: Mathematical Analysis



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There exists a newer edition (ISBN 978-1725894662) of the book that actually addresses Python 3.6.

That is a publication about hacking, however, not just any type of hacking. If you want mathematics and want to make use of computers to do mathematics or solve mathematical complications, then this book may be the for you. It really is about mathematical hacking , or scientific processing . Some basic knowledge of mathematics through calculus anticipated for the applications. The emphasis through the entire text is normally on programming in the iPython laptop.

No development background required.0.3 (2017) is revised and corrected.

Component I gives an launch to development, the Python shell, and using iPython notebooks.

Component II gives a comprehensive tour of the Python vocabulary.

Over 300 problems are included which you can use for student programming tasks.

Component III gives applications, which includes probability and figures, and topics from machine learning such as for example clustering, linear regression, logistic regression and principal element analysis. Additional topics include image evaluation, the singular worth decomposition, solving initial worth complications, discrete systems, fractals, estimating pi, geographic maps, and satellite orbit evaluation. Topics consist of data types, basic statements, assignments, conditionals, loops, list comprehension, sorting, Numpy, pyplot, using dictionaries, features, classes, functional applications, lambda features, and recursion. Version 3.

That is version 3, which include over 80 additional webpages, with intensive additions on Python classes, iPython with jupyter notebooks, magic functions, random amounts, and probability and stats.


See also