Notes
You can install numba via pip.
python -m pip install numba
Once installed you should be able to repeat the listed experiment.
def func_one(n):
result = 0
for i in range(n):
squared = n * n
result += squared
return result
def func_two(n):
result = 0
squared = n * n
for i in range(n):
result += squared
return result
You can test the speed of both functions.
%timeit func_one(10000)
%timeit func_two(10000)
You can now try again after using the decorator.
import numba as nb
@nb.njit
def func_one(n):
result = 0
for i in range(n):
squared = n * n
result += squared
return result
@nb.njit
def func_two(n):
result = 0
squared = n * n
for i in range(n):
result += squared
return result
func_one(1); func_two(2);
If you now time both functions you'll notice they after faster and equally fast.
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