7 Handy Use Cases Of Dictionary Comprehensions In Python

Flattening, inverting, merging, filtering, and more

Comprehensions in Python are syntactic constructs that are used to build sequences from other sequences. Essentially, comprehensions are a fancy form of writing for loops that are more concise and readable.

All comprehensions can be rewritten using for loops but the vice-versa doesn’t hold true. At large, there are four types of comprehension techniques in Python.

• List Comprehensions
• Dictionary Comprehensions
• Set Comprehensions
• Generator Comprehensions

The goal of this piece is to show you the power of dictionary comprehensions and how to leverage it in different ways. Before we explore a few interesting cases, let’s understand the syntax as it can confuse a lot of developers when starting out.