Effective Use of List Comprehensions | Python Tutorial #12

List comprehensions are commonly used in Python to create new lists from existing iterables. They are a concise and efficient way to perform operations on a list and create a new list as a result.
List comprehensions provide a concise way to create a list. They are often used to create a list from an existing iterable by applying a function to each element of the iterable.
List comprehensions can also include an optional if clause to filter elements from the input iterable.
Some common use cases for list comprehensions include:
Transforming a list of values by applying a function to each element.
Filtering a list of values to create a new list containing only the elements that meet certain criteria.
Nesting list comprehensions to perform multiple operations on a list in a single statement.
List comprehensions are often used to improve the readability and efficiency of Python code. They allow you to perform operations on a list in a single line of code, making your code more concise and easier to understand.