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Use find command but exclude files in two directories
... it happy.
– peelman
Nov 12 '13 at 20:08
3
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Why do some C# lambda expressions compile to static methods?
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Action<string> withClosure = s => Console.WriteLine("My name is {0} and I am {1} years old", s, age);
Action<string> withoutClosure = s => Console.WriteLine("My name is {0}", s);
Console.WriteLine(withClosure.Method.IsStatic);
Console.WriteLine(withoutClosure.Method.IsStatic);
T...
How to deal with floating point number precision in JavaScript?
...st irritated that their programs don't work correctly with numbers like 1/10 without realizing that they wouldn't even blink at the same error if it occurred with 1/3.
If the first point really applies to you, use BigDecimal for JavaScript, which is not elegant at all, but actually solves the probl...
How to set current working directory to the directory of the script in bash?
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#!/bin/bash
cd "$(dirname "$0")"
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What is the difference between shallow copy, deepcopy and normal assignment operation?
...rint id(c) == id(d) # True - d is the same object as c
print id(c[0]) == id(d[0]) # True - d[0] is the same object as c[0]
Using a shallow copy:
d = copy.copy(c)
print id(c) == id(d) # False - d is now a new object
print id(c[0]) == id(d[0]) # True - d[0] is the same obje...
What belongs in an educational tool to demonstrate the unwarranted assumptions people make in C/C++?
... Functions can be called in either order
**/
return 0;
}
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Why is there no xrange function in Python3?
...pple 2.7.2 64-bit:
In [37]: %timeit collections.deque((x for x in xrange(10000000) if x%4 == 0), maxlen=0)
1 loops, best of 3: 1.05 s per loop
Now, python.org 3.3.0 64-bit:
In [83]: %timeit collections.deque((x for x in range(10000000) if x%4 == 0), maxlen=0)
1 loops, best of 3: 1.32 s per loop
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C# Double - ToString() formatting with two decimal places but no rounding
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210
I use the following:
double x = Math.Truncate(myDoubleValue * 100) / 100;
For instance:
If t...
How do you calculate the average of a set of circular data? [closed]
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102
Compute unit vectors from the angles and take the angle of their average.
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How to normalize an array in NumPy?
...mpy as np
from sklearn.preprocessing import normalize
x = np.random.rand(1000)*10
norm1 = x / np.linalg.norm(x)
norm2 = normalize(x[:,np.newaxis], axis=0).ravel()
print np.all(norm1 == norm2)
# True
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