I know how to use both for loops and if statements on separate lines, such as:
>>> a = [2,3,4,5,6,7,8,9,0]
... xyz = [0,12,4,6,242,7,9]
... for x in
I liked Alex's answer, because a filter is exactly an if applied to a list, so if you want to explore a subset of a list given a condition, this seems to be the most natural way
mylist = [1,2,3,4,5]
another_list = [2,3,4]
wanted = lambda x:x in another_list
for x in filter(wanted, mylist):
print(x)
this method is useful for the separation of concerns, if the condition function changes, the only code to fiddle with is the function itself
mylist = [1,2,3,4,5]
wanted = lambda x:(x**0.5) > 10**0.3
for x in filter(wanted, mylist):
print(x)
The generator method seems better when you don't want members of the list, but a modification of said members, which seems more fit to a generator
mylist = [1,2,3,4,5]
wanted = lambda x:(x**0.5) > 10**0.3
generator = (x**0.5 for x in mylist if wanted(x))
for x in generator:
print(x)
Also, filters work with generators, although in this case it isn't efficient
mylist = [1,2,3,4,5]
wanted = lambda x:(x**0.5) > 10**0.3
generator = (x**0.9 for x in mylist)
for x in filter(wanted, generator):
print(x)
But of course, it would still be nice to write like this:
mylist = [1,2,3,4,5]
wanted = lambda x:(x**0.5) > 10**0.3
# for x in filter(wanted, mylist):
for x in mylist if wanted(x):
print(x)