3 ms·
Actually, most Python I write (influence from reading experienced programmers) tends to the last one, although it's semi-jokingly: def fizzbuzz(n):
by hcarvalhoalves 13y ago
Actually, most Python I write (influence from reading experienced programmers) tends to the last one, although it's semi-jokingly:
def fizzbuzz(n):
return 'FizzBuzz' if n % 3 == 0 and n % 5 == 0 else None
def fizz(n):
return 'Fizz' if n % 3 == 0 else None
def buzz(n):
return 'Buzz' if n % 5 == 0 else None
def fizz_andor_maybenot_buzz(n):
print fizzbuzz(n) or fizz(n) or buzz(n) or str(n)
map(fizz_andor_maybenot_buzz, xrange(1, 101))
It's pleasing to use HFOs in Python, as long as you don't abuse lambdas. Also, some functional types like `defaultdict` can be used to describe code/business logic with datastructures rather than a bunch of if's, keeping things tidy.
- gamegoblin 13y agoI use defaultdict all the time. Very often when describing graphs. g = defaultdict(dict) Allows you to do g[node1][node2] = edge_weight without checking if node1 exists, and if not, saying g[node1] = {} Also a neat trick (of dubious use) is: def auto_tree(): return defaultdict(auto_tree) Gives you infinitely nested defaultdicts.
- hcarvalhoalves 13y agodefaultdict is really multipurpose, quick trees is only one of the neat tricks. I like the following definition :) >>> Tree = lambda: defaultdict(Tree)