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This article mainly introduces how to make rational use of the generator and yield in python, which can be used for reference by interested friends. I hope you can learn a lot after reading this article.

Rational use of generators (generator) and yield

% timeit-n 100a = (i for i in range (100000))% timeit-n 100b = [i for i in range (100000)] 100 loops, best of 3: 1.54 ms per loop100 loops, best of 3: 4.56 ms per loop

What you get with () is a generator object, and the memory required is independent of the size of the list, so it's more efficient. In specific applications, for example, set (i for i in range (100000)) is faster than set ([i for i in range (100000)]).

But for cases that require loop traversal:

% timeit-n 10 for x in (i for i in range (100000)): pass%timeit-n 10 for x in [i for i in range (100000)]: pass10 loops, best of 3: 6.51 ms per loop10 loops, best of 3: 5.54 ms per loop

The latter is more efficient, but if there is break in the loop, the benefits of using generator are obvious. Yield is also used to create generator.

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