In our final installment for the Higher Level Function in Python Series, we dive into the Python filter function. No sidetracks this time around. We simply take a look at how it's used, try to find a way where it would be superior to list comprehensions, fail, and conclude the series.

We go through uses of the Python reduce function, when it's useful and its performance benefits. This time, we spend some time exploring function composition, and how to manage large function chains, e.g. in a data processing pipeline.

We go through uses of the Python map function, when it's useful and its performance benefits, and get sidetracked into benchmarking different syntaxes for exponential expressions.