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! This routine returns the indices and the max value. Since slactrac replicates many features of Elegant, and interface to simulations was derived. I think scipy.optimize.brute is what you're after. For a (10,10) range(100) In [201]: np.nonzero(a>100) Out[201]: (array([], dtype= int32), array([], dtype=int32)). Elegant-scipy-submissions - Submissions of code snippets for the book Elegant SciPy. How can I sort an array in numpy by the nth column? [Discuss] [OFF-TOPIC] Call for code nominations for Elegant SciPy! Writing an O'Reilly book about the SciPy library and the surrounding ecosystem . 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? A = array([[1,2 @ steve's is actually the most elegant way of doing it. Amazon.in - Buy Elegant Scipy book online at best prices in India on Amazon.in. Read Elegant Scipy book reviews & author details and more at Amazon.in. I present tool for working with digital signals using NumPy, SciPy and IPython. >>> from scipy.optimize import brute >>> a,f,g,j = brute(my_func,[param1_list,param2_list,. What is the most elegant way to convert a python array to a python set? Juan Nunez- Iglesias jni.soma at gmail.com. Slactrac depends on NumPy and SciPy to manipulate data. Is > > there a more elegant way than what I have implemented below using > > argmax()? O'Reilly book about the SciPy library > and the surrounding ecosystem.





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