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Q:
Python efficiency when appending multiple lists
I have two lists that I want to concatenate. Both lists are roughly the same size.
The length of the longer list is something around 5.000.000 and the shorter list might have 20 elements.
My question is now:
What is the more efficient way to append the two lists:
1.)
combined = []
combined.extend(x)
combined.extend(y)
or
2.)
for x in x:
    combined.append(x)
for y in y:
    combined.append(y)
So, what is the most efficient way to append my two lists?
A:
I think the results will be almost the same but here's a benchmark:
import random
import time
arr1 = [random.choice(range(1000)) for _ in range(5000)]
arr2 = [random.choice(range(10)) for _ in range(10)]
%timeit arr1 + arr2
1000000 loops, best of 3: 791 ns per loop
%timeit [arr1, arr2]
1000000 loops, best of 3: 604 ns per loop
%timeit arr1
100000 loops, best of 3: 3.92 us per loop
%timeit [arr1]
1000000 loops, best of 3: 594 ns per loop
%timeit arr2
1000000 loops, best of 3: 1.54 us per loop
%timeit [arr2]
1000000 loops, best of 3: 993 ns per loop
By now, all the answers are pretty fast and I think they're pretty much equal because most of the time is spent on list.append().
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