In python is there an easier way to write 6 nested for loops?

If you’re frequently iterating over a Cartesian product like in your example, you might want to investigate Python 2.6’s itertools.product — or write your own if you’re in an earlier Python. from itertools import product for y, x in product(range(3), repeat=2): do_something() for y1, x1 in product(range(3), repeat=2): do_something_else()

Why is there a significant difference in this C++ for loop’s execution time? [duplicate]

It’s an issue of memory cache. matrix[i][j] has better cache hits than matrix[j][i], since matrix[i][j] has more continuous memory accessing chances. For example, when we access matrix[i][0], the cache may load a continuous segment of memory containing matrix[i][0], thus, accessing matrix[i][1], matrix[i][2], …, will benefit from caching speed, since matrix[i][1], matrix[i][2], … are near to … Read more

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