When to Use List Comprehensions

The formula for the general list comprehension with condition and expression is a helpful abstraction.

Very good presentation; thanks!

IMHO, if your list comprehension has to be broken up into multiple lines due to its length, then I don’t see the advantage of using it over a for loop anymore.

@skrabbit9000 I agree with that. For long list comprehensions it’s usually better to stick with for loops instead.

Thank you for putting this together. It helped me to better understand what goes into the decision of when to use a list comprehension.

Thanks for the great, quick overview of list comprehensions.

Nice presentation, also fully agreed with, avoid to use nested list comprehension into your code. Better to go for loops.. Thanks Dan for nicely compiled the course.

Great break down with the generalized templates there, its a solid way to imprint the syntax in the brain. I have used list comprehensions a lot in projects and found that proper naming (especially the variable for each item) really helped with those lengthy and hard to read comprehensions. An example from the one used on the course can be seen below:

def is_even(x: int) -> bool:
    return x % 2 == 0

def get_squared_value(x: int) -> int:
    return x**2

even_squares = [get_squared_value(number) 
                for number in range(10) 
                if is_even(number)
]

Thanks for explaining this concept.

It’s fun how after just seeing a few examples and understanding how a list comprehension is “set up”, you suddenly can read more code.

I was following a different lesson, about api integrations here and was having trouble understanding this syntax:

max(country["id"] for country in countries) + 1

But now I understand… I think.

Although, the example above is iterating through an object and not a list. But guess the principle is the same.

I would’ve loved to see something like this being handled in this lesson.

Very comprehensive lesson on list comprehensions. Thank you, Dan!