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How to “EXPIRE” the “HSET” child key in redis?
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edited Oct 3 '18 at 9:10
Erik Rothoff
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Rails detect if request was AJAX
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edited Jul 10 '15 at 16:46
answered Nov 22 '11 at 1:08
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How to get the index of a maximum element in a numpy array along one axis
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>>> a.argmax(axis=0)
array([1, 1, 0])
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Pip freeze vs. pip list
...ecific format for pip to understand, which is
feedparser==5.1.3
wsgiref==0.1.2
django==1.4.2
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That is the "requirements format".
Here, django==1.4.2 implies install django version 1.4.2 (even though the latest is 1.6.x).
If you do not specify ==1.4.2, the latest version available would be in...
Format output string, right alignment
...r.format syntax:
line_new = '{:>12} {:>12} {:>12}'.format(word[0], word[1], word[2])
And here's how to do it using the old % syntax (useful for older versions of Python that don't support str.format):
line_new = '%12s %12s %12s' % (word[0], word[1], word[2])
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How to atomically delete keys matching a pattern using Redis
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Starting with redis 2.6.0, you can run lua scripts, which execute atomically. I have never written one, but I think it would look something like this
EVAL "return redis.call('del', unpack(redis.call('keys', ARGV[1])))" 0 prefix:[YOUR_PREFIX e.g del...
How do I break out of nested loops in Java?
...ic static void main(String[] args) {
outerloop:
for (int i=0; i < 5; i++) {
for (int j=0; j < 5; j++) {
if (i * j > 6) {
System.out.println("Breaking");
break outerloop;
}
Sys...
Algorithm to generate all possible permutations of a list?
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answered Apr 26 '10 at 1:53
WhirlWindWhirlWind
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Capturing Groups From a Grep RegEx
I've got this little script in sh (Mac OSX 10.6) to look through an array of files. Google has stopped being helpful at this point:
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Reduce left and right margins in matplotlib plot
...E.g.
import matplotlib.pyplot as plt
import numpy as np
data = np.arange(3000).reshape((100,30))
plt.imshow(data)
plt.savefig('test.png', bbox_inches='tight')
Another way is to use fig.tight_layout()
import matplotlib.pyplot as plt
import numpy as np
xs = np.linspace(0, 1, 20); ys = np.sin(xs)
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