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  1. Dec 27, 2023 · List Comprehension in Python Example. Here is an example of using list comprehension to find the square of the number in Python. Python. numbers = [1, 2, 3, 4, 5] . squared = [x ** 2 for x in numbers] . print(squared) Output. [1, 4, 9, 16, 25] Iteration with List Comprehension.

    • Iterating through a string Using for Loop. h_letters = [] for letter in 'human': h_letters.append(letter) print(h_letters) When we run the program, the output will be
    • Iterating through a string Using List Comprehension. h_letters = [ letter for letter in 'human' ] print( h_letters) When we run the program, the output will be
    • Using Lambda functions inside List. letters = list(map(lambda x: x, 'human')) print(letters) When we run the program, the output will be. ['h','u','m','a','n']
    • Using if with List Comprehension. number_list = [ x for x in range(20) if x % 2 == 0] print(number_list) When we run the above program, the output will be
  2. List comprehension offers a shorter syntax when you want to create a new list based on the values of an existing list. Example: Based on a list of fruits, you want a new list, containing only the fruits with the letter "a" in the name.

  3. Jun 24, 2024 · Examples of list comprehensions. Enough theory, let’s look at the most basic example, and I encourage you to fire up a Python REPL to try this yourself: >>> [x for x in range(1, 5)] [1, 2, 3, 4] Some observations: The expression part is just x. Instead of a list, we use the range () function.

  4. May 6, 2020 · In this post, we’ll cover everything you need to know about List Comprehensions in Python, using comprehensive examples! List comprehensions provide elegant, concise ways to create, modify, and filter lists in Python.

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  5. To help you create a list based on the transformation of elements of an existing list, Python provides a feature called list comprehensions. The following shows how to use list comprehension to make a list of squares from the numbers list:

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  7. Jan 22, 2024 · Python list comprehensions help you to create lists while performing sophisticated filtering, mapping, and conditional logic on their members. In this tutorial, you'll learn when to use a list comprehension in Python and how to create them effectively.