5 Advanced Features of Python and How to Use Them

towardsdatascience.com

This article expands on one point from the above article: writing for loops. Performance of an iterator is one of the most critical things to consider when programming in data. Writing a for loop traversing 1B items is not a good idea.

This short-ish post digs into lambdas, maps, itertools, and generators. You've probably used each of these before but may not have them deeply engrained in your programming workflow. Now is the time to change that.

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