... Étienne 4,14322 gold badges2424 silver badges4848 bronze badges answered Dec 18 '09 at 0:05 jschmierjschmier 14k66 gold badg...

... 84 How to explain callbacks in plain English? In plain English, a callback function is like ...

...for a conforming implementation of the CLI/C# and is documented in ECMA TR/84. (In fact, FieldInfo itself is part of the Reflection library and that's not included in CLI Kernel profile either). As soon as you use a method outside BCL, you are giving up a bit of portability (and this is becoming inc...

...n Python 3.9.0a4 or greater (final release date approx October 2020): PEP-584, discussed here, was implemented to further simplify this: z = x | y # NOTE: 3.9+ ONLY Explanation Say you have two dictionaries and you want to merge them into a new dict without altering the original dictiona...

...5 rsprsp 84.9k1717 gold badges162162 silver badges146146 bronze badges ...

...iB numpy.cumsum, edge handling : peak memory: 518.14 MiB, increment: 228.84 MiB Pandas rolling average : peak memory: 449.34 MiB, increment: 160.02 MiB bottleneck.move_mean : peak memory: 374.17 MiB, increment: 75.54 MiB Numpy array rolling : peak memory: 661.29 MiB, increment: 362.65 MiB N...

... of hex. Using 20 bytes, we have 256^20 or 1,461,501,637,330,902,918,203,684,832,716,283,019,655,932,542,976 unique output values. This is identical to SHA1's 160-bit (20-byte) possible outputs. Knowing this, it's not really meaningful for us to shasum our random bytes. It's like rolling a die twi...

... 84 From here. A common use for a cross-process Mutex is to ensure that only instance of a program...

... 84 The most fundamental problem of your test application is that you call srand once and then call...

... %timeit mask = df['A'].values == 'foo' %timeit mask = df['A'] == 'foo' 5.84 µs ± 195 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each) 166 µs ± 4.45 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each) Evaluating the mask with the numpy array is ~ 30 times faster. This is...