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

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. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). [SciPy-User] Call for code nominations for Elegant SciPy!. >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. Use Xgrid from within Python scripts as well as in interactive Python sessions. Call for code nominations for Elegant SciPy! Start and manage Xgrid jobs quickly using Python's elegant syntax. Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! 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. I think scipy.optimize.brute is what you're after. Experience with Python, and a strong understanding of how to apply its capabilities to develop GUIs, work flow frameworks, and elegant scientific applications. I think what you want is flatten(). Previous message: [SciPy-User] Call for code nominations for Elegant SciPy! [melbourne-pug] Call for code nominations for Elegant SciPy! Noon Silk noonslists at gmail.com. Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about Call for code nominations for Elegant SciPy!