At least once in a lifetime, any of us would read some Python code between two square brackets and think, "Now, what does this fu**king code do?"
This guide will explain how the Python List comprehensions work so you won't fear them. Let's start with the basics.
As you probably already know, a loop is a sequence of operations repeated a certain number of times. It enables the efficient execution of a block of code repeatedly without duplicating it.
x = 2
results = []
for i in range(10):
results.append(x ** i)
print("Result:", results)The output of this code will be:
Results: [1, 2, 4, 8, 16, 32, 64, 128, 256, 512]
Loops are crucial for automating repetitive tasks, iterating through data structures, and implementing various algorithms.
List comprehensions: Single condition
List comprehensions in Python provide a concise way to create lists. They allow you to generate a new list by specifying the elements you want to include and the conditions for their inclusion, all in a single line of code.
The simple way to do this is using the following structure:
new_list = [expression for item in iterable]