Generators were a compelling feature when added to Python 2.2 in seventeen years ago with PEP-255. When they were enhanced to become coroutines with PEP-342, they gained additional capabilities for modelling common problems.
But, surprisingly, we don’t often see generators discussed as a core tool in the data scientist, computational scientist, and data engineer’s toolkit. Why not?
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