Learn about the transducer data pipeline in the context of map and filter operations.


A transducer is a data processing pipeline. As the name suggests, transducers have a strong relationship with the fold (or reduce) operation. They’re particularly efficient because of their ability to carry multiple transformations and minimize instances of intermediate list creation. The impact of transducers is noticeable in situations where map and filter operations of various kinds follow each other, regardless of the order in which they appear. It’s worth noting that each transformation results in a new list.

The example below demonstrates this idea:

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