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7 Handy Use Cases Of Dictionary Comprehensions In Python
source link: https://towardsdatascience.com/7-handy-use-cases-of-dictionary-comprehensions-in-python-f7c37e462d92?gi=57ec0e23b8bb
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Flattening, inverting, merging, filtering, and more
May 12 ·6min read
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.
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