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How to print a percentage value in python?
...
format supports a percentage floating point precision type:
>>> print "{0:.0%}".format(1./3)
33%
If you don't want integer division, you can import Python3's division from __future__:
>>> from __future__...
Replacing a 32-bit loop counter with 64-bit introduces crazy performance deviations with _mm_popcnt_
...and 64-bit index on the two versions. Accessing a pointer with a 64-bit offset requests a dedicated 64-bit register and addressing, while you can use immediate for a 32-bit offset. This may make the 32-bit version faster.
Instructions are only emitted on the 64-bit compile (that is, prefetch). This ...
How is Math.Pow() implemented in .NET Framework?
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What is an “unwrapped value” in Swift?
...at the second two cases will give you a runtime error if optionalSquare is set to nil. Using the syntax in the first case, you can do something like this:
if let sideLength = optionalSquare?.sideLength {
println("sideLength is not nil")
} else {
println("sidelength is nil")
}
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Run an OLS regression with Pandas Data Frame
I have a pandas data frame and I would like to able to predict the values of column A from the values in columns B and C. Here is a toy example:
...
How to search for file names in Visual Studio?
In Eclipse you can search for a file in the project by pressing CTRL - SHIFT - R .
20 Answers
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What requirement was the tuple designed to solve?
...ting programs it is extremely common to want to logically group together a set of values which do not have sufficient commonality to justify making a class.
Many programming languages allow you to logically group together a set of otherwise unrelated values without creating a type in only one way...
Merge, update, and pull Git branches without using checkouts
...t that has 2 branches, A and B. I typically work on branch A, and merge stuff from branch B. For the merging, I would typically do:
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Initializing a list to a known number of elements in Python [duplicate]
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10 loops, best of 3: 177 ms per loop
Comparison to numpy
For huge data set numpy or other optimized libraries are much faster:
from numpy import ndarray, zeros
%timeit empty((N,))
1000000 loops, best of 3: 788 ns per loop
%timeit zeros((N,))
100 loops, best of 3: 3.56 ms per loop
...
Difference between Array and List in scala
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