How to use list comprehension?

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Introduction to list comprehension

List comprehension is an efficient way to create a list in Python. These comprehension will allow you to create new data structures by iterating over an iterable and optionally applying an expression or condition to each elements.

It provides a more compact and readable way to create lists by specifying the elements to include in the list based on some existing iterable (such as a list, range, or any other iterable object).

Syntax: [expression for item in iterable if condition]

  • expression: The expression that generates the items to be included in the list.
  • item: The variable representing each element in the iterable.
  • iterable: The collection or sequence that the list comprehension iterates over (e.g., a list, string, or range).
  • condition (optional): A condition to filter elements from the iterable.

Example:


# Python Code
print("Hello, World!")

In this example:

  • We iterate over the range 0 to 9.
  • We apply the expression x ** 2 to get the square of each element.
  • The condition if x % 2 == 0 ensures we only square even numbers.

Example without a condition:


# Creating a list of numbers squared
squares = [x ** 2 for x in range(5)]
print(squares)  # Output: [0, 1, 4, 9, 16]

Advantages of list Comprehensions:

  1. Concise: Comprehensions allow you to write more compact and readable code.
  2. Performance: List and dictionary comprehensions are typically faster than using for loops, especially for large datasets.
  3. Improved readability: They make code more readable by reducing the number of lines and making the intent clearer.

Conclusion of list comprehension:

List comprehension is used to create new lists by applying an expression or condition to each item in an iterable.

It provides a more Pythonic way to construct more efficient data structures in an efficient, concise and readable manner.


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