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When to Use List Comprehension in Python
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When to Use List Comprehension in Python

Some features of Python are in nearly every guide, but are they are useful in practice? Consider the list comprehension syntax. It does a similar thing to the map built-in in most programs—it creates a new list from an existing iterable.

To be fair, list comprehension has some advantages over the map built-in. It can remove elements with an if-clause at the end. And it returns a list, not an iterable—with map, we would need to further call the list built-in to get a list.

But list comprehension can be worth avoiding because:

It leads to excessively complex syntax.
Other developers may be unfamiliar with the syntax and its quirks.
Other approaches, like for-loops and the map built-in, can accomplish the same sorts of tasks.

In my view, list comprehension is useful for creating lists with straightforward logic—like a list of 100 positive integers. But for complex things, or in cases where a function call is needed, other approaches like for-loops or map are a better choice. It is good to keep list comprehensions, should you decide to use them, fairly short and simple.

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