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



[melbourne-pug] Call for code nominations for Elegant SciPy! Thank you to everyone who has already submitted, retweeted, and spread the word about our book, Elegant SciPy! Juan Nunez-Iglesias jni .soma@gmail Thu Feb 5 19:29:15 CST 2015. I present tool for working with digital signals using NumPy, SciPy and IPython. [SciPy-User] Call for code nominations for Elegant SciPy! Photo by Ian Rees (from the SciPy 2012 conference website) Clarifications about our book, Elegant SciPy (and our call for code submissions). I have two 2-d numpy arrays with the same dimensions, A and B, and am trying to calculate the row-wise dot product of them. 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)). OF THE 14th PYTHON IN SCIENCE CONF. Noon Silk noonslists at gmail.com. 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? [SciPy-User] Call for code nominations for Elegant SciPy!. Ev-br added the scipy.interpolate label on Aug 24 denfromufa referenced this issue in HarrietInc/elegant-scipy-submissions 16 days ago. EG: >>> import numpy as np >>> a = np.array([[1 , 2], [3, 4]]) >>> a.flatten('F') >>> array([1, 3, 2, 4]). What is the most elegant way to convert a python array to a python set? I think what you want is flatten(). Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. Continuum is a sponsor of this year's SciPy Conference in Austin, TX.





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