Python's replace faster than Julia's replace?

General Usage
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Weird! With Julia 1.6.1 and Python 3.9.5 on a 2.7 GHz Intel Core i7:

julia> function test(iter=100_000)
           for _ in 1:iter
               replace("The quick foxes run quickly.", "fox" => "bus")
           end
       end
test (generic function with 2 methods)

julia> using BenchmarkTools

julia> @btime test(10_000_000);
  2.514 s (80000000 allocations: 4.77 GiB)

and

>>> import timeit
>>> 
>>> def test(iter=100_000):
...     for i in range(iter):
...         "The quick foxes run quickly.".replace(u"fox", u"bus")
... 
>>> timeit.timeit('test(10_000_000)', setup="from __main__ import test", number=1)
1.586207215