Level up your python skills with list comprehension
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level up your python skills with list comprehension
list comprehensions are a powerful feature in python that allows you to create lists in a concise and readable way. they provide a syntactic sugar for creating lists based on existing lists (or other iterable collections) and can often replace the need for loops, making your code cleaner and more efficient.
what is list comprehension?
a list comprehension consists of brackets containing an expression followed by a `for` clause, then zero or more `for` or `if` clauses. the result is a new list derived from the given iterable.
basic syntax
**expression**: the current item from the iterable, transformed as needed.
**item**: the variable that takes the value of the elements in the iterable.
**iterable**: a sequence (like a list, tuple, or string) that you want to iterate over.
**condition**: an optional clause that filters items based on a condition.
why use list comprehensions?
1. **conciseness**: they allow you to write less code.
2. **readability**: they are often more readable than traditional loops.
3. **performance**: they can be more efficient than using a loop to create lists.
examples
example 1: basic list comprehension
let's start with a simple example. suppose you want to create a list of squares of numbers from 0 to 9.
*using a loop:*
*using list comprehension:*
example 2: list comprehension with a condition
you can also add a condition to filter items. for example, if you want to create a list of even squares from 0 to 9:
*using a loop:*
*using list comprehension:*
example 3: nested list comprehensions
list comprehensions can also be nested. for example, if you want to create a 2d list (matrix) of coordinates:
*using a loop:*
*using nested list comprehension:*
example 4: transforming strings
list comprehensions can also be used to manipulate strings. for instance, converting all characters in a string to uppercase:
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