phase: the amount by which the index boosts, defaults to 1. If It is really adverse, you happen to be slicing around the iterable in reverse.
The results show that In the event the iterable is made up of only some internal iterables then sum is going to be quickest, nevertheless for very long iterables just the itertools.
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iterables are flattened, strings are decomposed into sequences of single figures. If you do not like/want these behavior, You may use the following version which filters out from flattening iterables like strings and bytes:
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This is an method I didn't see in another responses. It supports any degree of nesting, operates iteratively and with out libraries:
This perform will take a Python Order Here item and optional parameters for slicing and returns the start, halt, step, and slice size with the requested slice.
If your list of lists originates from a nested list comprehension, the situation can be solved much more basically/instantly by fixing the comprehension; remember to see How am i able to receive a flat final result from the list comprehension instead of a nested list?.
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