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

Elegant SciPy Juan Nunez-Iglesias, Stefan van der Walt, Harriet Dashnow ebook
Page: 250
Format: pdf
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491922873

Slactrac depends on NumPy and SciPy to manipulate data. My goal Clarifications about our book, Elegant SciPy (and our call for code submissions)In "programming". Since slactrac replicates many features of Elegant, and interface to simulations was derived. Now this isn't particularly elegant code, and I apologize for the lack of an example plot. The SciPy ecosystem belongs to everyone Related. Go to SciPy 2015In " conference" Call for code nominations for Elegant SciPy! SciPy is my favourite conference. Is > > there a more elegant way than what I have implemented below using > > argmax()? For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). How can I sort an array in numpy by the nth column? 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. This routine returns the indices and the max value. A = array([[1,2 @ steve's is actually the most elegant way of doing it. Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy.