In the field of programming, Python is not only a practical tool but is also favored for its characteristic of 'code as art.' ...
In []: %timeit (*(x**2 for x in range(1000)),) # (A) 47.2 μs ± 1.18 μs per loop (mean ± std. dev. of 7 runs, 10,000 loops each) In []: %timeit tuple(x**2 for x in range(1000)) # most idiomatic 45.4 μs ...
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