Generators
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#generators.
#generators are much more performant than lists. (i.e range > list in performance.)
#So generators are really, really useful when calculating large sets of data.
from time import time
def performance(fn):
def wrapper(*args, **kwargs):
t1 = time()
result = fn(*args, *kwargs)
t2 = time()
print(f'took {t2-t1} s')
return result
return wrapper
@performance
def long_time():
print('1')
for i in range(1000000): #it finishes after.
i*5
long_time()
print()
@performance
def long_time2():
print('2')
for i in list(range(1000000)): #it took longer.
i*5
long_time2()
print()
Python
INFO