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

Elegant SciPy


Elegant.SciPy.pdf
ISBN: 9781491922873 | 250 pages | 7 Mb


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



Over the past few weeks, I've been heavily promoting the SciPy conference, a meeting about Call for code nominations for Elegant SciPy! Import numpy as np import pandas as pd import scipy.stats as st A = data[data['x1' ]=='A']['x2'] Elegant numpy array shifting and NaN filling? [melbourne-pug] Call for code nominations for Elegant SciPy! Juan Nunez- Iglesias jni.soma at gmail.com. Scipy.ndimage provides a suitable function, generic_filter . He chose the former, and produced extremely elegant code. If you are new to Numeric computing with Python, you should use NumPy. Key methods of the distribution classes in scipy.stats. 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)). Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy.





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