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I would like a good rationalization (references really are a in addition) on Python's slice notation. To me, this notation requirements some picking up. It looks really potent, but I have not very got my head all around it.
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Keep in mind that the result of slicing a group is an entire new assortment. On top of that, when using slice notation in assignments, the duration in the slice assignments usually do not need to be the identical.
This can be the list I've curated. It includes Python project Thoughts for students. These topics protect starter to advance stage.
Ways to calibrate probabilities predicted by nonlinear algorithms that are not suit employing a probabilistic framework.
Picking classification algorithms, for example those that penalize misclassification errors otherwise.
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phase: the quantity by which the index will increase, defaults to one. If it's adverse, you might be slicing about the iterable in reverse.
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