What are the differences between dictionary comprehensions and sets in Python?
Dictionary comprehensions create dictionaries from iterable data, while sets create unordered collections of unique elements.
Can you give me an example of each?
Sure! A dictionary comprehension looks like this: {x: x**2 for x in range(5)}
. A set comprehension would be {x for x in range(5)}
.
Are there any performance differences between them?
Yes, dictionary comprehensions can be slightly slower due to the overhead of key-value pairs, while sets are generally faster for membership tests.
When should I use one over the other?
Use dictionary comprehensions when you need key-value pairs, and sets when you need a collection of unique items without duplicates.
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