Julia vs. Python 2.7 Parsing

juliapython.jlpy

$ python2.7 parse.py
0.797344923019

$ julia parse.jl
16789.66212272644

o.O
Tested against a 91mb big tab-delimited input-file.

With a 800mb big file:
$ python parse.py
6.59492301941

$ julia parse.jl
129588.43898773193


-----------------------------------------------
Python-code:
-----------------------------------------------
import time

def parse():
    file_handle = open("./backParsedTapidorContigs.csv")
    for line in file_handle:
        line = line.split("\t")

tmin = float("inf")
for i in range(5):
    t = time.time()
    parse()
    t = time.time()-t
    if t < tmin:
        tmin = t

print tmin
-----------------------------------------------
Julia-code (macro taken from https://github.com/JuliaLang/julia/blob/master/test/perf/perf.jl)
-----------------------------------------------
macro timeit(ex,name)
    quote
        t = Inf
        for i=1:5
            t = min(t, @elapsed $ex)
        end
        println(t*1000)
    end
end

function parse()
    file = LineIterator(open("./backParsedTapidorContigs.csv"))

    for line in file
        split(line, "\t")
    end
end

@timeit parse() "parse"