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C++ Best way to get integer division and remainder

... experiment with g++ 6.3.0 on x86_64 revealed that with no optimization at all, you get two idivl instructions, but with -O1 or greater, you get one. As the manual says, “Without any optimization option … Statements are independent”. – Tom Zych Oct 15 '17...
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Difference between numpy.array shape (R, 1) and (R,)

... 1. The meaning of shapes in NumPy You write, "I know literally it's list of numbers and list of lists where all list contains only a number" but that's a bit of an unhelpful way to think about it. The best way to think about NumPy arrays is that they consist of two parts, a data bu...
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Cannot change version of project facet Dynamic Web Module to 3.0?

...so I changed the library in Java Build Path to obtain the JavaSE-1.7. It's all OK up to here. 31 Answers ...
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remove None value from a list without removing the 0 value

... 10 Answers 10 Active ...
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Python pandas: fill a dataframe row by row

...you want to align the input (for example you then don't have to to specify all of the elements) In [7]: df = pandas.DataFrame(columns=['a','b','c','d'], index=['x','y','z']) In [8]: df.loc['y'] = pandas.Series({'a':1, 'b':5, 'c':2, 'd':3}) In [9]: df Out[9]: a b c d x NaN NaN Na...
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Select between two dates with Django

... answered Oct 18 '10 at 20:46 Daniel RosemanDaniel Roseman 521k5151 gold badges699699 silver badges746746 bronze badges ...
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what is the right way to treat Python argparse.Namespace() as a dictionary?

... Nick T 20.5k88 gold badges6969 silver badges106106 bronze badges answered Jun 1 '13 at 23:42 Raymond HettingerRaymond Hettinger ...
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What is the point of function pointers?

...nction pointers. I guess it may be useful in some cases (they exist, after all), but I can't think of a case where it's better or unavoidable to use a function pointer. ...
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how do you filter pandas dataframes by multiple columns

...r function using query in pandas. Here you have filtering of df results by all the kwargs parameters. Dont' forgot to add some validators(kwargs filtering) to get filter function for your own df. def filter(df, **kwargs): query_list = [] for key in kwargs.keys(): query_list.append(f...
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Get difference between two lists

...hat this only returns the temp1-temp2? .. As other said in order to return all the differences you have to use the sysmetric difference: list(set(temp1) ^ set(temp2)) – rkachach Feb 16 '16 at 16:00 ...