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

Previous message: [SciPy-User] Call for code nominations for Elegant SciPy! Experience with Python, and a strong understanding of how to apply its capabilities to develop GUIs, work flow frameworks, and elegant scientific applications. Go to SciPy 2015In " conference" Call for code nominations for Elegant SciPy! Read Elegant Scipy book reviews & author details and more at Amazon.in. Self- organizing map (vector quantization). Is there a more elegant or efficient way? Since slactrac replicates many features of Elegant, and interface to simulations was derived. Call for code nominations for Elegant SciPy! Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Amazon.in - Buy Elegant Scipy book online at best prices in India on Amazon.in. The SciPy ecosystem belongs to everyone Related. Assuming you mean to have data1 and data2 as arrays of the same size (which would change your example to read): data2 = np.ones((4, 5)). Functions which are common and require SciPy Base and Level 1 SciPy This is a more elegant implementation, requiring NumPy >= 1.7.0. Juan Nunez-Iglesias gmail.com> 2015-02-06 01:29:15 GMT. Slactrac depends on NumPy and SciPy to manipulate data. Calling out SciPy on diversity (even though it hurts) Clarifications about our book, Elegant SciPy (and our call for code submissions). Rougier opened issue HarrietInc/elegant-scipy-submissions#22 · @rougier.