Question

I just read another users question while looking for a way to compute the differences in two lists.

Python, compute list difference

My question is why would I do

def diff(a,b):
    b = set(b)
    return [aa for aa in a if aa not in b]

rather than doing

def diff(a,b):
    tmp = []
    for i in a:
        if(i not in b):
            tmp.append(i)
return tmp

edit: just noticed the second diff function actually returned the similarities. It should be correct now.

Answer 1

Just from an algorithmic perspective, it takes O(n) to construct the set and O(n) to do the list comprehension (since testing if an element is contained in a set is O(1)). However in the second example, it would take O(n^2) to loop through both lists. So regardless of the programming language, the first approach is superior.

Also, list comprehensions in python are inherently faster than a for loop. This reduces the constant factor even more (and significantly so too). The reason why can be summarized in this post which I quote here:

The fact that list comprehensions can only be comprised of
expressions, not statements, is a considerable factor, as much less
work is required behind the scenes for each iteration. Another factor
is that the underlying iteration mechanism for list comprehensions is
much closer to a C loop than execution of a for loop.