Getting started with functional programming in Python using the toolz library
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In the second of a two-part series, we continue to explore how we can import ideas from functional programming methodology into Python to have the best of both worlds.
In the previous post, we covered immutable data structures. Those allow us to write "pure" functions, or functions that have no side effects, merely accepting some arguments and returning a result while maintaining decent performance.
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