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Elegant SciPy ebook

Elegant SciPy ebook

Elegant SciPy. Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow

Elegant SciPy

ISBN: 9781491922873 | 250 pages | 7 Mb

Download Elegant SciPy

Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
Publisher: O'Reilly Media, Incorporated

Slactrac depends on NumPy and SciPy to manipulate data. Key methods of the distribution classes in scipy.stats. Is there a more elegant or efficient way? Call for code nominations for Elegant SciPy! >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. I think scipy.optimize.brute is what you're after. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. This method is fairly fast, but I'm very new to Scipy, and would like to know if there's a more elegant, idiomatic way of doing the same thing. Juan Nunez-Iglesias> 2015-02-06 01:29:15 GMT. Since slactrac replicates many features of Elegant, and interface to simulations was derived. Library lets you seamlessly read microscopy images into numpy arrays from 2015 debrief · Call for code nominations for Elegant SciPy! Ev-br added the scipy.interpolate label on Aug 24 denfromufa referenced this issue in HarrietInc/elegant-scipy-submissions 16 days ago. Functions which are common and require SciPy Base and Level 1 SciPy This is a more elegant implementation, requiring NumPy >= 1.7.0.

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