rand, cumprod Julia vs. Python

py_vs_jl.jl

x = rand(1000,100)
repeats = 1000
f1 = () -> cumprod(x,1)
print("    f1: ")
@time [f1() for i in 1:repeats]

f2() = cumprod(x, 1)
print("    f2: ")
@time [f2() for i in 1:repeats]

f3(x) = cumprod(x, 1)
print("    f3: ")
@time [f3(x) for i in 1:repeats]

# for reference here's the julia version
versioninfo()

py_vs_jl.py

import numpy as np
from time import time
x = np.random.rand(1000,100)

start = time()
for i in range(1000):
	np.cumprod(x,0)
finish = time()
print 'time taken %0.3f' % (finish - start)

results.txt

samuel:Desktop || python py_vs_jl.py 
time taken 0.437
samuel:Desktop || julia py_vs_jl.jl 
    f1: elapsed time: 0.50526759 seconds (801644424 bytes allocated, 4.22% gc time)
    f2: elapsed time: 0.376359017 seconds (800111592 bytes allocated, 7.38% gc time)
    f3: elapsed time: 0.370701405 seconds (800111592 bytes allocated, 3.87% gc time)
Julia Version 0.3.0-prerelease+4017
Commit 56da98a* (2014-07-02 12:18 UTC)
Platform Info:
  System: Linux (x86_64-linux-gnu)
  CPU: Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY)
  LAPACK: libopenblas
  LIBM: libopenlibm