Home > Backend Development > Python Tutorial > List Comprehension or Generator Expression with `join()`? Which is More Efficient?

List Comprehension or Generator Expression with `join()`? Which is More Efficient?

DDD
Release: 2024-12-14 19:30:16
Original
678 people have browsed it

List Comprehension or Generator Expression with `join()`?  Which is More Efficient?

List Comprehension without Brackets: Generator Expressions

In Python, it is possible to create a list of elements using list comprehensions, which have a syntax similar to set comprehensions but with square brackets. However, it is also possible to achieve the same result without using brackets, leading to a construction that resembles a generator expression.

Consider the following example:

''.join([str(_) for _ in range(10)])
Copy after login

This code creates a list of strings representing the numbers from 0 to 9 and joins them into a single string using the join method. Interestingly, the following code produces the same result without using square brackets:

''.join(str(_) for _ in range(10))
Copy after login

The reason for this behavior is that the code without brackets represents a generator expression, which is similar to a list comprehension but returns an iterable object instead of a list. Generator expressions are more memory-efficient and faster than list comprehensions, as they do not create the entire list in memory.

However, in the case of the join method, using a list comprehension is more efficient because join operates more efficiently on actual lists. Therefore, it is generally recommended to use list comprehensions with join for better performance.

The above is the detailed content of List Comprehension or Generator Expression with `join()`? Which is More Efficient?. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template