Elegant SciPy by Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow
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Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow ebook
ISBN: 9781491922873
Page: 250
Format: pdf
Publisher: O'Reilly Media, Incorporated
Slactrac depends on NumPy and SciPy to manipulate data. I think scipy.optimize.brute is what you're after. Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. I think what you want is flatten(). Juan Nunez- Iglesias jni.soma at gmail.com. Use Xgrid from within Python scripts as well as in interactive Python sessions. Noon Silk noonslists at gmail.com. Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about Call for code nominations for Elegant SciPy! Call for code nominations for Elegant SciPy! Since slactrac replicates many features of Elegant, and interface to simulations was derived. Hi all, Juan Nunez-Iglesias, Stéfan van der Walt, and I will be writing an O'Reilly book about the SciPy library and the surrounding ecosystem. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. [melbourne-pug] Call for code nominations for Elegant SciPy! >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. Calling out SciPy on diversity (even though it hurts) Clarifications about our book, Elegant SciPy (and our call for code submissions). Start and manage Xgrid jobs quickly using Python's elegant syntax. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]).
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