... list_of_strings)) (or equivalently, use a list comprehension). (In Python 3, you'll need to call list on the map return value if you use map, since map returns an iterator now.) However, if it's already a numpy array of strings, there's a better way. Use astype(). import numpy as np x = np.array...

...and hashSet2 //returns a list of distinct items in both sets HashSet set3 = set1.Union( set2 ); flies in comparison with an equivalent operation using LINQ. It's also neater to write! share | i...

...hine it is about 2.5x faster to use numpy.sum in place of numpy.min: In [13]: %timeit np.isnan(np.min(x)) 1000 loops, best of 3: 244 us per loop In [14]: %timeit np.isnan(np.sum(x)) 10000 loops, best of 3: 97.3 us per loop Unlike min, sum doesn't require branching, which on modern hardware tends...

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... 315 var d = 1.0d; // double var d0 = 1.0; // double var d1 = 1e+3; // double var d2 = 1e-3; ...

... answered Aug 23 '10 at 7:06 Pascal ThiventPascal Thivent 524k126126 gold badges10121012 silver badges10991099 bronze badges ...

In regards to BS 3 if I wanted just a narrow column of content on the right I might use an offset class of 9 and a column of 3. ...

...| edited Dec 15 '17 at 17:37 Dave Thomas 1,38922 gold badges1010 silver badges1616 bronze badges answere...

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... 355 For a more flexible solution, use the splice() function. It allows you to remove any item in ...