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What are the advantages of using nullptr?

... handle nullptr argument!!! 1. In C++, NULL is defined as #define NULL 0, so it is basically int, that is why f(int) is called. share | improve this answer | follow ...
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How to specify Composer install path?

... 140 It seems that you can define the vendor dir to be something else (plugins in your case): { ...
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python plot normal distribution

...ot as plt import numpy as np import scipy.stats as stats import math mu = 0 variance = 1 sigma = math.sqrt(variance) x = np.linspace(mu - 3*sigma, mu + 3*sigma, 100) plt.plot(x, stats.norm.pdf(x, mu, sigma)) plt.show() s...
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Parsing command-line arguments in C?

... 190 To my knowledge, the three most popular ways how to parse command line arguments in C are: Get...
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How to test multiple variables against a value?

... +500 You misunderstand how boolean expressions work; they don't work like an English sentence and guess that you are talking about the sam...
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How are multi-dimensional arrays formatted in memory?

...things are going to happen. Here's a quick example: int array1[3][2] = {{0, 1}, {2, 3}, {4, 5}}; In memory looks like this: 0 1 2 3 4 5 exactly the same as: int array2[6] = { 0, 1, 2, 3, 4, 5 }; But if you try to pass array1 to this function: void function1(int **a); you'll get a warnin...
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Sequence contains more than one element

...ault. This method will only succeed when the collections contains exactly 0 or 1 element. I believe you are looking for FirstOrDefault which will succeed no matter how many elements are in the collection. share | ...
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Rails detect if request was AJAX

... | edited Jul 10 '15 at 16:46 answered Nov 22 '11 at 1:08 ...
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How to convert index of a pandas dataframe into a column?

...either: df['index1'] = df.index or, .reset_index: df.reset_index(level=0, inplace=True) so, if you have a multi-index frame with 3 levels of index, like: >>> df val tick tag obs 2016-02-26 C 2 0.0139 2016-02-27 A 2 0.5577 2016-02-28 C ...
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[] and {} vs list() and dict(), which is better?

...s/dicts: >>> from timeit import timeit >>> timeit("[]") 0.040084982867934334 >>> timeit("list()") 0.17704233359267718 >>> timeit("{}") 0.033620194745424214 >>> timeit("dict()") 0.1821558326547077 and for non-empty: >>> timeit("[1,2,3]") 0.243...