I just installed Julia on a MacBook Pro running OSX 10.0.3 (I am new to
OSX). Installed Julia in the Applications folder. But for the packages
that I have been using on Ubuntu, I copied the whole directory ~/.julia
from Ubuntu to the Mac. Then I did a Pkg.build() in Julia. Things seem OK
I'm not sure, but there seems to be some issues with homebrew on OSX which
is the basis to use libraries like cairo, pango etc. So it could be the
copy of the julia part of the package is correct, while the libraries the
package tries to call isn't. Check both Cairo.jl and Homebrew.jl issues.
Without a specific example it's hard to say anything. Matlab can be faster
for some cases, but Julia should be faster in many cases, if you write your
code correctly.
Hello colleague,
if there's a problem with a package on github you can always open an issue
and the maintainer will be informed. Within the issue you can address
githup users with their name with @name.
Wishing a happy day,
Andreas
Hi Lytu,
If you found a problem with a certain package you should open an issue at
the respective github page (eg https://github.com/JuliaLang/ODE.jl/issues).
This way all people involved in maintaining/developing the package will
automatically be informed and other people can profit from the
https://github.com/mcreel/JuliaMPIMonteCarlo has code for doing Monte Carlo
using the MPI package (https://github.com/JuliaParallel/MPI.jl). A note
addressed to primarily to economists gives some discussion. The intention
is to get beginners started, but there is also a more complex example.
Hi,
are there any fellow Julia users in Vienna, Austria, which would be interested
in setting up a monthly meetup?
There are currently three of us, aiming for July 23rd for a small
get-to-know-each-other session, where we can plan further talks / topics /
meetings:
Hello,
I have a question about the package ODE in Julia.
In Matlab, when i use *[tout, yout] = ode45('fct', t, y0);* it works but
when i try to do the same thing in Julia *tout, yout = ode45(fct, t, y0)*
, sometimes it works but with different results *tout, yout* and with a
different plot
Hello colleague,
you already gave the answer yourself:
*Because all the programs that i implement are faster in Matlab than in
Julia.*
you just need to write faster julia programs (OK, that's not very
helpful...).
Although there are fast and slow computers there isn't the equivalent of
fast
I have some issues with the ODE package.
Can anyone please tell me how to contact the package maintainer because we
can have the name of the person but not his e-mail.
Thanks
Hi all,
In the same mood of René's email: we are organizing a Julia Meetup in
Zürich for the next July 9th. If there is any Julia user interested in
joining us.
We created a doodle in order to know how many of us can make it:
http://doodle.com/kxew38zp56fparr5 Please feel free to fulfil if you
Dear community,
Is it possible to comiple application written on Julia to binary?
Best regards,
Vladislav
Should be set now. There's only an empty repo there right now
at https://github.com/JuliaLang/atom-language-julia
On Friday, June 12, 2015 at 2:39:29 PM UTC-7, John Myles White wrote:
I can create a repo.
On Friday, June 12, 2015 at 12:04:09 PM UTC-7, Spencer Lyon wrote:
John,
Do you
Yes, that should work as well.
-E
On Fri, Jun 12, 2015 at 2:06 PM, Peter Simon psimon0...@gmail.com wrote:
If the user has a large number of packages installed on the old system,
how about doing a Pkg.init(), followed by copying over only the REQUIRE
file from ~/.julia/v0.x/ and then doing a
I can create a repo.
On Friday, June 12, 2015 at 12:04:09 PM UTC-7, Spencer Lyon wrote:
John,
Do you have create permissions within the JuliaLang github org?
If not, who should we contact to create the repo/set up permissions?
I guess I could just request that my repo be transferred
If the user has a large number of packages installed on the old system, how
about doing a Pkg.init(), followed by copying over only the REQUIRE file
from ~/.julia/v0.x/ and then doing a Pkg.update()? This could save some
typing.
--Peter
On Friday, June 12, 2015 at 9:25:54 AM UTC-7, Elliot
John,
Do you have create permissions within the JuliaLang github org?
If not, who should we contact to create the repo/set up permissions?
I guess I could just request that my repo be transferred to the organization,
but I'd want whoever gets that message to have a heads up.
Just to update, I realised this might be a prime candidate for findfirst.
It can imitate the behaviour of upper_bound - returning the idx of the
first array element which
*arr = [10, 10, 10, 20, 20, 20, 30, 30]*
*findfirst(x - x 10, arr)4*
However, if I quickly scribble down the code
On Fri, Jun 12, 2015 at 7:50 PM, Júlio Hoffimann
julio.hoffim...@gmail.com wrote:
Hi,
Is there a clean way to call all functions inside a module?
module CovarianceModel
gaussian(h; a=1, b=1) = a * exp(-(h/b).^2)
exponential(h; a=1, b=1) = a * exp(-(h/b))
spherical(h; a=1, b=1) = (h .≤
Hi,
I'm implementing some C++ code in Julia and the code uses the upper_bound
and lower_bound functions from the C++ standard library
http://www.cplusplus.com/reference/algorithm/lower_bound/.
I was wondering if a method for achieving a similar result with arrays has
been achieved in Julia?
I've been wondering the same. I don't think it would be too difficult to hook
Lint.jl up
I took the libery of posting an issue together with the commit that
introduced the bug here: https://github.com/JuliaLang/julia/issues/11698
Thanks for finding this, I also use cholfact for FEM analysis but was not
aware of this.
On Friday, June 12, 2015 at 8:28:26 PM UTC+2, Mauro wrote:
Excellent. Thank you.
I've been traveling all day, but will push the code within the next 24 hours.
I have some experimental ideas implemented right now so my initial push will
probably be accompanied by some pull requests to get comments from other users.
While we're on the subject, I wonder what it would take to get linter
support for Julia into Atom.
On Friday, June 12, 2015 at 8:23:33 PM UTC-5, Spencer Lyon wrote:
Excellent. Thank you.
I've been traveling all day, but will push the code within the next 24
hours.
I have some
I didn't get a screen capture, but I can guess at the problem. This is
actually most likely not a Julia problem, but an issue with the system-wide
Homebrew packages you have installed outside of Julia.
When you call `using Winston`, the julia package Cairo.jl is loaded as
well. Cairo.jl looks
Just a reminder: if anyone still sees this kind of performance regression,
please do provide some more detail, as it's impossible to fix without it. It's
really as simple as this:
run_my_workload() # run once to force compilation
@profile run_my_workload()
using ProfileView
ProfileView.view()
In particular, if all your code is basically:
C = A*B
U, S, V = svd(C)
result = V'*x
then it's also the case that Julia will not provide any kind of special
benefit---Matlab is just as good as Julia at linear algebra and a few other
operations, as both simply call out to other
Hello K Leo,
First off, because many packages use binary dependencies, you shouldn't
copy packages from one computer to the other like that; although in
principle it shouldn't break anything, you will have a bunch of extra files
laying around that your computer doesn't know what to do with, and I
On 12 June 2015 at 08:27, Vladislav Falfushinsky
vladislav.falfushin...@gmail.com wrote:
Is it possible to comiple application written on Julia to binary?
The words that you are looking for are static compilation. It is in
the works, you can find more information regarding the current status
What’s the output of Pkg.status()? It seems like an issue with Docile, not
JuMP.
On Friday, June 12, 2015 at 9:25:50 AM UTC-4, Kostas Tavlaridis-Gyparakis
wrote:
Hello,
I am really new to Julia and not the best programmer mysefl.
I run linux mint 16 and I installed julia via terminal
There are a bunch of useful tips for making your Julia code faster here:
http://docs.julialang.org/en/release-0.3/manual/performance-tips/
There tends to be a lot of discussion on the list on relative
performance between Julia and other languages, and the core team keeps
track of performance
By far the most likely issue is that you're doing everything in global
scope. The next most likely problem is that you have some type
stability/predictability issues. And of course, it's always possible that
you have code that Matlab is really fast at; for some problems it's not
possible to do
Hello,
I am really new to Julia and not the best programmer mysefl.
I run linux mint 16 and I installed julia via terminal (sudo apt-get
install julia ).
Then when I run Julia on my terminal, while the JuMP package is installed
sth that I believe the following two commands on my terminal
hi,
i have a problem with some finite element code, where i have to solve
several sparse systems of equations. i noticed that solving the equations
consumes a lot of memory. for the problems i consider i quickly run out of
memory. interestingly the memory allocation is not captured by the
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