In the last post we looked at Python list comprehensions, an inline alternative to for-next loops. List comprehensions are a powerful technique for creating and processing lists.

In this post, we’ll look at more list comprehensions, including some real-life examples, and look at three other kinds of Python comprehensions: sets, dictionaries, and generators.

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Considering that it has been six months since the last post, my attempt to get a post flow going with “Simple Python Tricks” left something to be desired. Like success. Undaunted, I’m drawing from the well again.

This time to discuss Python comprehensions, a feature that is powerful and expressive, but which is rather unique to Python. Newcomers may not, at first, even realize they exist.

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