Operating over sequences – list comprehensions and generators

In this section, we'll cover what are probably the most idiomatic constructions in Python: list comprehensions and generators. You'll see that they are very useful for reading and transforming sequences of data with very minimal syntax.

List comprehensions

In programming, a very common task is to transform a sequence (let's say a list) into another, for example, to filter out or transform elements. Usually, you would write an operation as we did in one of the previous examples of this chapter:

chapter2_basics_02.py

numbers = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
even = []
 
for number in numbers:
    if number % 2 == 0:
        even.append(number)
 
print(even)  # [2, 4, 6, 8, 10]

https://github.com/PacktPublishing/Building-Data-Science-Applications-with-FastAPI/blob/main/chapter2/chapter2_basics_02.py

With this approach...