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initialize a numpy array
...ly store values, but they need to be have fixed size to obtain this speed. Python lists are designed to be more flexible at the cost of speed and size.
– Justin Peel
Dec 26 '10 at 22:10
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Timeout for python requests.get entire response
...out even if it only slept for ten seconds.
But, it's all in the standard python library! Except for the sleep function import it's only one import. If you are going to use timeouts many places You can easily put the TimeoutException, _timeout and the singaling in a function and just call that. Or ...
How to write PNG image to string with the PIL?
...inal file format, so in this case you can use format=image.format.
In old Python 2 versions before introduction of the io module you would have used the StringIO module instead.
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The smallest difference between 2 Angles
...ept angles outside the range [0, 2π) you can generalize the above. Here's Python code for the generalized version:
PI = math.pi
TAU = 2*PI
def smallestSignedAngleBetween(x, y):
a = (x - y) % TAU
b = (y - x) % TAU
return -a if a < b else b
Note that the % operator does not behave t...
Check if item is in an array / list
... @jdi, and that loop will run much faster than the one coded explicitly in Python, not to mention being easier to read.
– Mark Ransom
Jun 28 '12 at 19:44
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Getting only 1 decimal place [duplicate]
...ing to represent it with only one digit:
print("{:.1f}".format(number)) # Python3
print "%.1f" % number # Python2
or actually round off the other decimal places?
round(number,1)
or even round strictly down?
math.floor(number*10)/10
...
How to get a random number between a float range?
...ndom number in the range [a, b) or [a, b] depending on rounding github.com/python/cpython/blob/…
– Pavel
Jun 4 '19 at 8:47
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Unpacking a list / tuple of pairs into two lists / tuples [duplicate]
... To the OP, stackoverflow.com/questions/5239856/foggy-on-asterisk-in-python is helpful if you don't know about the "splat" operator.
– dicato
Sep 26 '11 at 18:07
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Negative list index? [duplicate]
... the end of the list, so n[-1] means the last item in the list n. Any good Python tutorial should have told you this.
It's an unusual convention that only a few other languages besides Python have adopted, but it is extraordinarily useful; in any other language you'll spend a lot of time writing n[...
numpy matrix vector multiplication [duplicate]
...pected, but I simply cannot find any information about how this is done in Python's Numpy module.
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