sounds like the library can't handle out of tree builds? you should also use a
local prefix, not a system-wide one that would require sudo.
Thanks Fengyang
On Saturday, October 8, 2016 at 12:39:42 AM UTC-3, Fengyang Wang wrote:
>
> As Jussi Piitulainen noted, the ^ operator is backwards, so you need to
> wrap it around a function.
>
> On Friday, October 7, 2016 at 10:05:34 AM UTC-4, Kevin Liu wrote:
>>
>> *julia>
I'll leave this references here.
Attract more contributors to i18n #428
https://github.com/JuliaLang/julialang.github.com/issues/428
Julia-i18n dashboard
https://github.com/Julia-i18n/julia-i18n/projects/1
On Monday, September 26, 2016 at 1:59:15 PM UTC, David Smith wrote:
>
> Hi, Isaiah. This is a valid question.
>
> 0. As a preface, I'd like to say I'm not trying to replace anything. I
> wrote RawArray to solve a problem we have in magnetic resonance imaging
> (quickly saving and loading large
By "module file" I just meant a source code file where all definitions are
enclosed in modules, so if you "include" it, it replaces the whole module.
Thus
module M
function f(x)
x^2
end
end
then references to M.f are more likely to be consistent than a bare
function f defined at the top
On Friday, October 7, 2016 at 9:30:00 AM UTC-4, spaceLem wrote:
>
> In Julia 0.4.6 I could print or @show a 2d array, and it would give me a
> nicely formatted 2d array
> println(reshape(1:4,2,2))
> [1 3
> 2 4]
>
> However in Julia 0.5 I instead get:
> println(reshape(1:4,2,2))
> [1 3; 2 4]
>
There seems to be some breakage right now in Anaconda from their switch
from Qt4 to Qt5. Updating to PyCall and PyPlot master, and forcing the
Qt4Agg backend (e.g. with ENV["MPLBACKEND"]="Qt4Agg") should work.
is f(x)=x^2 not an anonymous function?!?!
Maybe one sidenote:
So what is the difference between
f(x)=x^2
and
f=x->x^2
since the last one does not return that warning?
Thanks for ur example
I'm not that familiar with it but what do u mean by "module files"?
Do you have an example and why are they less dangerous?
I tried
provides(Sources,
URI("http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz;),
libta_lib, unpacked_dir="ta-lib")
Thanks Tony, it helps me... but I'm still facing build error with Linux and
BinDeps (contrary to a simple bash script with
./configure --prefix=/usr
make
sudo
Try using the unpacked_dir keyword argument to the Sources provider to tell it
the github tarball has a different folder name that it extracts to than its
default assumption.
On Sat, Oct 8, 2016 at 3:43 PM, wrote:
> It worked. Thanks for your advice. Another thing, I observed the previous
> version v0.4 folder on the disk. Is there a way to delete it and free up
> some space?
Well, just delete it and free up the space? A newer version of julia
It worked. Thanks for your advice. Another thing, I observed the previous
version v0.4 folder on the disk. Is there a way to delete it and free up
some space?
On Saturday, 8 October 2016 20:43:57 UTC+2, Yichao Yu wrote:
>
> On Sat, Oct 8, 2016 at 2:41 PM, Yichao Yu
> wrote:
>From your second link:
>- Submissions for the first step in the search program will be
>accepted by SPEC beginning 11 November 2008 and ending 30 June 2010 (11:59
>pm, Pacific Standard Time).
>
>
On Saturday, October 8, 2016 at 12:18:53 PM UTC-7, Páll Haraldsson wrote:
>
>
>
https://www.spec.org/cpuv6/
It would be cool (and publicity) if Julia would make it into SPEC version
6. Anyway, might be of interest to people here.
SPEC used C or Fortran last I looked, I see only references to "languages",
"C/C++" and "portable":
https://www.spec.org/cpuv6/
"SPEC holds
Hello,
I'm new to BinDeps.
I use it in https://github.com/femtotrader/TALib.jl
to be able to download / build / install TA-Lib http://ta-lib.org/
I'm able to install this library using OS X and Homebrew without problem
see https://travis-ci.org/femtotrader/TALib.jl/jobs/166091755
but with
Dear all,
sorry for not replying before but I've been very busy lately... Still I
wanted to report back here. While I found some of teh previous solutions to
work, I finally found out there was a bad interaction between Anaconda's
Python and julia. SImply got rid of Anaconda and then
On Sat, Oct 8, 2016 at 2:41 PM, Yichao Yu wrote:
> On Sat, Oct 8, 2016 at 2:39 PM, wrote:
>> Hi, I'm not sure if anyone else has this problem but apparently, after
>> updating to v0.5, I can no longer find the packages that I had previously
>
> This is
On Sat, Oct 8, 2016 at 2:39 PM, wrote:
> Hi, I'm not sure if anyone else has this problem but apparently, after
> updating to v0.5, I can no longer find the packages that I had previously
This is expected since packages might use different code on different
julia versions
Hi, I'm not sure if anyone else has this problem but apparently, after
updating to v0.5, I can no longer find the packages that I had previously
installed in v0.4. The console says, argumenterror: Module Statsbase not
found in current path. I tried Pkg.status in my pwd and it didn't show any
Hi,
I saw in the release notes that Julia added support for different array
indexing methods. I decided to try my hand at implementing zero indexed
vectors, and started with the instructions
here http://docs.julialang.org/en/latest/devdocs/offset-arrays/ I found
this part of the
The problem is that some Julia processing stores references to definitions
in hidden locations which are not updated consistently, so you get
inconsistency like this:
julia> f(x)=x^2
f (generic function with 1 method)
julia> map(f,[1,2,3])
3-element Array{Int64,1}:
1
4
9
julia>
Personally I think it's better to have translated web even if it doesn't
look professional. I understood that it would be interesting that more
people participated to translation ?
Milan if you find mistakes of mine (I surely do !) better correcting
them I wouldn't be angry... But telling me
*I got a mail today and I published a response, but I'm not sure why it
doesn't show up here, so I'll paste it verbatim:*
Hi Milan!
Thank you for stating your concern,
> but I'm worried that we completely destroy the professional aspect of the
website
I agree with you but, I think that we
. Looking forward to hearing the episode! Thanks, Brock.
On Wed, Oct 5, 2016 at 6:45 PM, Brock Palen
wrote:
> Thank you everyone for the support of the podcast. If you have other
> topics please let me know off list.
>
> The Julia episode is up at:
Good generic API design is one of the hardest problems around. For many
problem areas, we just haven't found the right design yet. JuMP is one of
the prime examples of brilliant work in this area. Mathematica is the best
example of consistent APIs in a language and it's ecosystem because Stephen
I think sometimes people go overboard with types, but types allow us to
take full advantage of multiple dispatch and abstraction on another level.
For example, a diagonal matrix and a full/dense matrix are both the same
thing, but if you can dispatch on them differently you can massively
improve
https://github.com/JuliaLang/julia/issues/18840
On Fri, Oct 7, 2016 at 6:26 PM, Eric Davies wrote:
> Thanks, I will try both of those. I had tried making smaller pieces before
> but I'll try with `Base.process_events(false)`.
>
I noticed this also .. and this is why I chose to "rip" some packages for
some of its functionality.
>From what I observed the problem is the "coolness" of the language and the
highly creative level of the package writers. Just as the first post here
states the seemingly two advantages , cool
On Sat, Oct 8, 2016 at 7:19 AM, Andreas Lobinger wrote:
> Hello colleagues,
>
> it's quite nice to structure testing with @testset in v0.5 (and higher), but
> it doesn't exist in 0.4. And it's not expected to be backported.
> Could Compat be a place for this? Or just build
Hey,
Thx for ur answer. So The first time I call my program which includes a
file with function definitions there is no problem. I do this because with
0.4 parallel loops didnt work with functions which are defined in the same
file even though an @everywhere is prefixed.
I still dont understand
Just do:
sudo pacman -S julia
And you are done! :D
I think you are looking for Arch Linux!
https://www.archlinux.org/packages/community/x86_64/julia
If you need a GUI and easy setup, there are se eral distros that come with a
desktop and are based on Arch:
https://wiki.archlinux.org/index.php/Arch_based_distributions#Desktop
i think in the last versions of Atom the plot will show in the plot pane
without the need of tricks.
it seems a good idea JuliaPraxis. I have been struggling with trying to get
consistent naming and having a guide to follow may at least cut short the
struggling time.
I have created a new Organization on github: *JuliaPraxis.*
Everyone who has added to this thread will get an invitation to join, and
so contribute.
I will set up the site and let you know how do include your wor(l)d views.
Anyone else is welcome to post to this thread, and I will send an
Thanks all for your kind answers
Le samedi 8 octobre 2016 12:23:00 UTC+2, Femto Trader a écrit :
>
> Hello,
>
> my main development environment is under Mac OS X
> but I'm looking for a Linux distribution (that I will run under VirtualBox)
> that have Julia 0.5.0 support (out of the box)
>
> Even
Hello colleagues,
it's quite nice to structure testing with @testset in v0.5 (and higher),
but it doesn't exist in 0.4. And it's not expected to be backported.
Could Compat be a place for this? Or just build two blocks (>0.4 and <=
v0.4) in runtests.jl ?
On Saturday, October 8, 2016 at 10:23:00 AM UTC, Femto Trader wrote:
>
> Hello,
>
> my main development environment is under Mac OS X
> but I'm looking for a Linux distribution (that I will run under VirtualBox)
> that have Julia 0.5.0 support (out of the box)
>
> Even Debian Sid is 0.4.7 (October
Le samedi 08 octobre 2016 à 03:23 -0700, Femto Trader a écrit :
> Hello,
>
> my main development environment is under Mac OS X
> but I'm looking for a Linux distribution (that I will run under
> VirtualBox)
> that have Julia 0.5.0 support (out of the box)
>
> Even Debian Sid is 0.4.7 (October
Conventions would have to be arrived at before this is possible.
On Saturday, October 8, 2016 at 3:39:55 AM UTC-7, Traktor Toni wrote:
>
> In my opinion the solutions to this are very clear, or would be:
>
> 1. make a mandatory linter for all julia code
> 2. julia IDEs should offer good
Hello colleague,
On Saturday, October 8, 2016 at 12:23:00 PM UTC+2, Femto Trader wrote:
>
> my main development environment is under Mac OS X
> but I'm looking for a Linux distribution (that I will run under VirtualBox)
> that have Julia 0.5.0 support (out of the box)
>
> Even Debian Sid is 0.4.7
In my opinion the solutions to this are very clear, or would be:
1. make a mandatory linter for all julia code
2. julia IDEs should offer good intellisense
Am Freitag, 7. Oktober 2016 17:35:46 UTC+2 schrieb Gabriel Gellner:
>
> Something that I have been noticing, as I convert more of my
Hello,
my main development environment is under Mac OS X
but I'm looking for a Linux distribution (that I will run under VirtualBox)
that have Julia 0.5.0 support (out of the box)
Even Debian Sid is 0.4.7 (October 8th, 2016)
https://packages.debian.org/fr/sid/julia
So what Linux distribution
Create a repo where we can all bikeshed different names, agree upon some,
and then standardize. I honestly don't care which conventions are chosen
and will just find/replace with whatever people want, but there has to be a
"whatever people want" to do that.
On Saturday, October 8, 2016 at
I should have added that growthV was a function
Function growthV(s,f)
Return s+f+q
End
An i am looking to get a list containing s, f and q
Le samedi 08 octobre 2016 à 01:47 -0700, jonathan.bie...@alumni.epfl.ch
a écrit :
> Maybe an "easy" first step would be to have a page (a github repo)
> containing domain specific naming conventions (atol/abstol) that
> package
> developers can look up. Even though existing packages might not
Maybe an "easy" first step would be to have a page (a github repo)
containing domain specific naming conventions (atol/abstol) that package
developers can look up. Even though existing packages might not adopt them,
at least newly created ones would have a chance
to be more consistent. You could
The multiplication maybe is not the best example. Actually, I wanted to say
"addition".
I wanted that my operator `+` works for:
1) np.ndarray + np.ndarray
2) np.ndarray + LRmatrix
3) LRmatrix + np.ndarray
4) LRmatrix + LRmatrix
1) is a part of Numpy. 3) and 4) can be implemented by
You mean:
def mydot(A,B):
if isinstance(A, np.ndarray) and isinstance(B, np.ndarray):
return np.dot(A, B)
else:
# mycode
?
Maybe you are right. Since I can't overload `np.dot`, maybe the neater way
is to write a higher level function and then delegate the work by
No, no, no, I am expert of neither language. I sincerely want to learn the
difference between these 2 languages. This will help me better understand
both Python and Julia.
On Friday, October 7, 2016 at 9:41:43 PM UTC+2, Stefan Karpinski wrote:
>
> I think you're asking on the wrong list :P
>
>
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