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List comprehension in Python provides a concise way to create lists. It consists of brackets containing an expression followed by a for clause, then zero or more for or if clauses. The expressions can be anything, meaning you can put in all kinds of objects in lists.
Example
Here's a simple example that doubles each number in a list:
numbers = [1, 2, 3, 4]doubled = [n * 2 for n in numbers]print(doubled) # Output: [2, 4, 6, 8]Syntax
The basic syntax is [expression for item in list]. If you want to filter items, you can add an if condition at the end: [expression for item in list if condition]1.
Use Cases
Creating a new list by manipulating the elements: For instance, squaring each number in a list.
Filtering items: You can filter items with an if statement. For example, [n for n in numbers if n > 0] will return only positive numbers from the numbers list.
Applying a function to all items: Such as converting all strings in a list to uppercase.
Efficiency
List Comprehension in Python - GeeksforGeeks
Oct 22, 2024 · List comprehension is a way to create lists using a concise syntax. It allows us to generate a new list by applying an expression to each item in an existing iterable (such as a list or range).
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Jun 24, 2024 · A Python list comprehension is a language construct. It’s used to create a Python list based on an existing list.
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Jan 22, 2024 · One of Python’s most distinctive features is the list comprehension, which you can use to create powerful functionality within a single line of code. However, many developers struggle to fully leverage the …
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Jul 7, 2021 · List comprehension is an easy to read, compact, and elegant way of creating a list from any existing iterable object. Basically, it's a simpler way to create a new list from the values in a list you already have. It is generally a …
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May 6, 2020 · A list comprehension is an elegant, concise way to define and create a list in Python. The code is written in a much easier-to-read format. Python List Comprehensions consist of square brackets containing an …
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