It seems likely that we will get something like .pyc files in the future,
but first we need a 0.3 release. It is on the roadmap for 0.4, but it is
hard to promise working code that has not yet been written.
Ivar
kl. 16:37:03 UTC+2 torsdag 31. juli 2014 skrev Jose Augusto følgende:
>
> Ivar, John, thank you.
>
> I tried to compile julia with mingw a couple weeks ago (when talking with
> devs about openblas issues) and I didn't succeed, so I can't implement the
> solution you point out (compilation from sources). I undesrtand the
> slowness is due to repeated JIT compilation of the module/package each time
> julia is called and 'using' is executed. I was looking for the existence of
> some middle-way solution such as .pyc files in Python.
>
> Another quirk: the loading time is not very important if one is using
> Julia REPL-- it is imported only once; but when using the command line it
> becomes annoying because its done in each run. So I tried the following:
> wrapping the code for loading modules inside a function:
>
> function mainLoad()
> ### code for importing modules here...
> end
>
> an then in the REPL I have an error. Apparently we cannot call "using..."
> inside a function:
>
> julia> include("timeLoading.jl")
> mainLoad (generic function with 1 method)
> julia> mainLoad()
> ERROR: error compiling mainLoad: unsupported or misplaced expression using
> in function mainLoad
> julia>
>
> Finally, to conclude, I think the more efficient way (which I'm using now)
> is launching the REPL, importing only once the packages, developing
> everything in the script as a function and load it with
> include("script.jl")... at least in the developing stage...
>
> Thanks again
>
> Jose
>
>
> On Thursday, July 31, 2014 4:45:08 AM UTC+1, Jose Augusto wrote:
>>
>> Hi
>>
>> Loading of julia modules (0.3.0-rc1) is a slow process (compared to other
>> languages). This is more visible when in the process of running/debugging.
>> Is there any way of speeding it up?
>>
>> TIA
>>
>> Jose
>>
>> Code:
>>
>>
>> t1=time()
>> println("start time: ",0)
>> println("using DataFrames... slow loading...")
>> using DataFrames
>> t2=time()
>> println("load time: ",t2-t1," secs")
>> println("using PyPlot... slow loading...")
>> using PyPlot
>> t3=time()
>> println("load time: ",t3-t2," secs")
>> println("using Winston... slow loading...")
>> using Winston
>> t4=time()
>> println("load time: ",t4-t3," secs")
>>
>>
>> Result: (julia 0.3.0-rc1, AMD A8-3850 on Windows 7, 64 bits)
>>
>> C:\Users\...>julia timeLoading.jl
>> start time: 0.0
>> using DataFrames... slow loading...
>> load time: 12.457000017166138 secs
>> using PyPlot... slow loading...
>> INFO: Loading help data...
>> load time: 13.289999961853027 secs
>> using Winston... slow loading...
>> load time: 6.801000118255615 secs
>>
>
