Using reduce and lambda isn't faster than built-in max!

benchmark.py

#!/usr/bin/python3

import random
import functools
import timeit

# Construct a large list of integers with few repeats expected
random.seed()
randints = [random.randint(0,100000000) for _ in range(1000000)]

# Callable wrappers to the code in question
def reducemax():
	return functools.reduce(lambda x,y: x if x>y else y, randints)
def builtinmax():
	return max(randints)

# Time each callable, with 10 iterations each.
# Output is average time in seconds per iteration
print(timeit.timeit(reducemax,number=10))
print(timeit.timeit(builtinmax,number=10))