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A weighted version of random.choice
...
Since version 1.7.0, NumPy has a choice function that supports probability distributions.
from numpy.random import choice
draw = choice(list_of_candidates, number_of_items_to_pick,
p=probability_distribution)
Note that probabi...
Suppress warning CS1998: This async method lacks 'await'
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107
I've got an interface with some async functions.
Methods returning Task, I believe. async ...
Empty arrays seem to equal true and false at the same time
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d_ethier
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answered Mar 30 '11 at 20:10
wildcardwildcard
...
Inline labels in Matplotlib
...e(np.int32)
# mask stuff outside plot
mask = (xy[:,0] >= 0) & (xy[:,0] < N) & (xy[:,1] >= 0) & (xy[:,1] < N)
xy = xy[mask]
# add to pop
for p in xy:
pop[l][tuple(p)] = 1.0
# find whitespace, nice place for label...
How can I check which version of Angular I'm using?
... itself.
Header of the current angular.js:
/**
* @license AngularJS v1.0.6
* (c) 2010-2012 Google, Inc. http://angularjs.org
* License: MIT
*/
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Using numpy to build an array of all combinations of two arrays
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Sorting 1 million 8-decimal-digit numbers with 1 MB of RAM
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720
+200
There is...
How are the points in CSS specificity calculated
... algorithm is 256 or 28.
What this means is that a style specified with 0 ids and 256 class-names will over-ride a style specified with just 1 id. I tested this out with some fiddles:
255 classes are not enough to override 1 id
...but 256 classes are enough to override 1 id
...and 256 tag-name...
Are Javascript arrays sparse?
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How exactly JavaScript arrays are implemented differs from browser to browser, but they generall...
Which is faster in Python: x**.5 or math.sqrt(x)?
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math.sqrt(x) is significantly faster than x**0.5.
import math
N = 1000000
%%timeit
for i in range(N):
z=i**.5
10 loops, best of 3: 156 ms per loop
%%timeit
for i in range(N):
z=math.sqrt(i)
10 loops, best of 3: 91.1 ms per loop
Using Python 3.6....