Generators, Iterators and Streaming Data

Python

Chain generators into pipelines that read one item at a time, so you can process data too big to hold in memory. Learn when each step runs, how to type iterables and iterators, and how to batch and join streams.

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6 exercises

3 articles

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Your learning sequence

1 Catch Mismatched Lengths with zip(strict=True) Read
2 Not solved yet. Pair Names with Scores and Reject a Length Mismatch Practice · Easy
3 Process Data Too Big for a List with Generators Read
4 Not solved yet. Build a Pipeline from Small Generators Practice · Easy
5 Not solved yet. Parse Records in Batches with a Generator Practice · Medium
6 Choose Between Iterable, Iterator and Sequence Read
7 Not solved yet. Copy a One-Shot Iterator into Separate Lists Practice · Medium
8 Not solved yet. Join Two Sorted Streams Without Loading Them Practice · Hard
9 Not solved yet. Build a Streaming Pipeline from Start to Finish Practice · Hard

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0 / 6 correct

What do these two calls do when the inputs have different lengths?

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print(list(zip([1, 2, 3], [1, 2])))
print(list(zip([1, 2, 3], [1, 2], strict=True)))

Question 1 of 6