Are there any tutorials for Compose.jl other than the documentation page?
I want to try to make pie charts and venn diagrams.
There is also https://github.com/dcjones/Compose.jl/tree/master/examples
On Saturday, 22 November 2014 10:08:41 UTC+1, ccsv.1...@gmail.com wrote:
Are there any tutorials for Compose.jl other than the documentation page?
I want to try to make pie charts and venn diagrams.
For testing/evaluation purposes, it's actually the case that I don't need
to actually use any of the fixed length string fields. They are in the
data, but I have numerical encodings for most of the important ones in
other fields. So in playing around I found that I could just create a
bitstype
I'm a julia newbie trying to get a sense of how efficient the Julia compiler
is, for a very simple little program. I attach copies of
foo.py and foo.jl, which compute the same thing.
I then ran them (for the python version with both
pypy and with python). The results:
pypy: 2
Try putting everything in a function.
http://julia.readthedocs.org/en/latest/manual/performance-tips/
-viral
On Saturday, November 22, 2014 6:16:39 PM UTC+5:30, Ronald L. Rivest wrote:
I'm a julia newbie trying to get a sense of how efficient the Julia
compiler
is, for a very simple little
By wrapping it in a function as:
function test()
tic()
n = 1
x = 0.234
for i = 1:n
x = max(x*x, 1.0-x*x)
end
println(x)
print(Done.)
toc()
end
test() #jit compilation occurs
test() # timing 0.284217675 s
On my machine the original took 26.96566
I hadn't thought of using macros —good idea. My approach to using Cairo was to
create a module that calls Cairo functions but maintaining a current context,
so I can write:
using EasyCairo, Color
newpng(1600, 1000)
background(color(black))
setopacity(0.7)
setcolor(0, 1, 0)
Hi all,
I have found the Graphs.jl package difficult to work with, so I've been
(slowly) putting together a SimpleGraphs.jl package available
here: https://github.com/scheinerman/SimpleGraphs.jl
It's probably not as full featured as the Graphs.jl package, but it's
easier (at least for me) to
Hi-
I am experiencing difficulty generating plots of MCMC chains with PyPlot.
It was working fine and just stopped working. I even reverted to the
latest working version of the code in Dropbox, but to no avail. Here is
the code and the error message:
p = plot(sim, [:trace, :mean, :density,
I guess we really need some examples on Graphs.jl to make the learning
curve less steep.
Dahua
On Saturday, November 22, 2014 9:20:10 PM UTC+8, Ed Scheinerman wrote:
Hi all,
I have found the Graphs.jl package difficult to work with, so I've been
(slowly) putting together a
Chris,
That plot statement is aimed at Gadfly, not at PyPlot. I expect somehow PyPlot
got imported.
If you’re in REPL, a restart should remove PyPlot.jl. You will need Gadfly,
Stan Mamba.
I haven’t used PyPlot a lot, but if a restart doesn’t fix the problem, just
send me the full code.
Thanks once again, Rob. It turns out that was, in fact, the problem.
According to my file history, the code was always calling PyPlot. Strangely
enough, this did not produce an error on my home computer until yesterday .
Perhaps something changed when I updated my packages. Anyways, problem
Have you looked at StrPack.jl? It may have a packed option. Julia uses the
platform ABI padding rules for easy interop with C.
On Nov 22, 2014 7:17 AM, Joshua Adelman joshua.adel...@gmail.com wrote:
For testing/evaluation purposes, it's actually the case that I don't need
to actually use any of
Greetings,
I just started using Julia yesterday, and I'm currently trying to translate
a bit of my existing R code. I hope the answer isn't too obvious, but I'm
not sure how to fit a weighted linear regression in Julia -- in R, I would
try something like
weighted_lm - lm(Y ~ X1 + X2, weights
That'd be great. And what I think I'd like to do is to write some
converters that will take one of my SimpleGraph objects and return
something that Graphs.jl provides.
On Saturday, November 22, 2014 9:34:47 AM UTC-5, Dahua Lin wrote:
I guess we really need some examples on Graphs.jl to make
See also Base.fieldoffsets
On Sat, Nov 22, 2014 at 10:57 AM, Isaiah Norton isaiah.nor...@gmail.com
wrote:
Have you looked at StrPack.jl? It may have a packed option. Julia uses the
platform ABI padding rules for easy interop with C.
On Nov 22, 2014 7:17 AM, Joshua Adelman
Is there a plan for some sort of intrinsics in Julia? The most recent
iterations of the x86 ISA have things like pext that
extract specific bits in a dw, or qw and pack them together.
Currently to use an instruction like that I define a C function create a shared
lib and make a ccall.
This is
If it is exposed in some form by LLVM, you might be able to use llvmcall.
See https://github.com/JuliaLang/julia/pull/5046
(and possibly also https://github.com/JuliaLang/julia/pull/8740)
Eventually I believe we will have a similar `asmcall` feature.
On Sat, Nov 22, 2014 at 2:58 PM, eric l
You can already inline assembly into llvm so it's not super clean but it
can be done.
On Sat, Nov 22, 2014 at 3:15 PM, Isaiah Norton isaiah.nor...@gmail.com
wrote:
If it is exposed in some form by LLVM, you might be able to use llvmcall.
See https://github.com/JuliaLang/julia/pull/5046
(and
You may also be able to use https://github.com/Keno/Cxx.jl to write
your C code, which should ensure that it is inlined.
Also -- are you sure that LLVM's vectorizer can't be convinced to
generate these instructions automatically? I know this is not possible
in all cases (I wish!), but there's
Yes, LLVM codegen improvements are the best way to accomplish this since
then everyone everywhere benefits.
On Sat, Nov 22, 2014 at 3:38 PM, Erik Schnetter schnet...@cct.lsu.edu
wrote:
You may also be able to use https://github.com/Keno/Cxx.jl to write
your C code, which should ensure that it
Hi guys,
I tried to find some advice here and on google but with no luck. I'm trying
to initialize a matrix of Float64. Since I have the values I just did
my_matrix = Float64[3.5 6.7 2 0 lots of numbers...;
3 0 6.4 3.4 and so on...]
the matrix was around 800 x 1800. I've
Le samedi 22 novembre 2014 à 13:15 -0800, Jacek Hoła a écrit :
Hi guys,
I tried to find some advice here and on google but with no luck. I'm
trying to initialize a matrix of Float64. Since I have the values I
just did
my_matrix = Float64[3.5 6.7 2 0 lots of numbers...;
It seemed pretty handy to have one test in just one file. I used readdlm
and it works great, but now I have 4 files (3 matrices and one jl with
readdlms and call to module). Guess I can live with that.
Thanks
W dniu sobota, 22 listopada 2014 23:38:10 UTC+1 użytkownik Milan
Bouchet-Valat
how do I effectively
also, I meant efficiently ;)
On Saturday, November 22, 2014 9:57:51 AM UTC-6, Isaiah wrote:
Have you looked at StrPack.jl? It may have a packed option. Julia uses the
platform ABI padding rules for easy interop with C.
Yes, you can used the align_packed strategy.
Ah I see.. thanks!! I guess old (pythony) habits die hard...
On Thursday, November 20, 2014 11:37:42 AM UTC+1, John Myles White wrote:
my_dict.keys isn't giving you the keys of your dictionary. It's giving you
the internal structure of a data structure.
Try keys(my_dict).
As we sometimes
Yes, this is one of the most surprising things about Julia. Perhaps the time
has come to put a warning about this right at the start of a REPL session.
— John
On Nov 22, 2014, at 4:50 AM, Viral Shah vi...@mayin.org wrote:
Try putting everything in a function.
I did that and it still gives me the same error
[WinError 2] The system cannot find the file specified
[cmd: ['julia', 'C:\\Users\\NN\\Desktop\\Julia\\Test.jl']]
[dir: C:\Users\NN\Desktop\Julia]
[path: C:\Users\NN\AppData\Roaming\Sublime Text
3\Packages\IJulia/windeps/;C:\Program
The code block I posted before works, but throws an error when embedded in
a function: ERROR: X not defined (in first line of @parallel). Why am I
getting this error when I'm *assigning to* X?
function doparallelstuff(m = 10, n = 20)
# initialize variables
localX = Base.shmem_rand(m)
On Saturday, November 22, 2014 7:42:21 PM UTC-5, John Myles White wrote:
Yes, this is one of the most surprising things about Julia. Perhaps the
time has come to put a warning about this right at the start of a REPL
session.
How about a warning if you run toc() in the REPL, since that is
On Saturday, November 22, 2014 6:31:27 PM UTC-5, Patrick O'Leary wrote:
On Saturday, November 22, 2014 9:57:51 AM UTC-6, Isaiah wrote:
Have you looked at StrPack.jl? It may have a packed option. Julia uses
the platform ABI padding rules for easy interop with C.
Yes, you can used the
You can always use JuMP or one of the other generic optimization packages
to do multi-dimensional fitting; although it may be suboptimal efficiency
due to not taking advantage of the special structure of the problem, the
problem is convex and any local optimizer should converge to the solution
Hi all,
I'm excited about Julia because of the speed and open nature of the
language. I have a couple of suggestions from the past couple of days of
my time with the language: (1) decrease the JIT time to allow faster code
changes, (2) automatically detect changed files and reload them,
Some problems have the so-called curse of dimensionality and curse of
modeling. For this reason Bersekas and Tsimtsiklis (at MIT) introduced the
so-called Neuro-Dynamic Programing.
Does Julia offer support for the aforementioned and if not, how about the
future?
Hi all,
I'm observing the following behaviour with workspace() on julia v0.3.0+6 on
Ubuntu 14.04
julia eval(parse(1+1))
2
julia workspace()
julia eval(parse(1+1))
ERROR: eval not defined
Is this a bug or do I actually have no understanding of what workspace() is
supposed to do? I searched
This works:
function doparallelstuff(m = 10, n = 20)
# initialize variables
localX = Base.shmem_rand(m; pids=procs())
localY = Base.shmem_rand(n; pids=procs())
localf = [x-i+sum(x) for i=1:m]
localg = [x-i+sum(x) for i=1:n]
# broadcast variables to all worker processes
Hi,
In Stan.jl and Jags.jl I look for environment variables.
On unix
```
ccall( (:getenv, libc), Ptr{Uint8}, (Ptr{Uint8},), bytestring(var))
```
works fine.
But not on Windows. I've seen
ENV(STAN_HOME)
mentioned (on http://rosettacode.org/wiki/Environment_variables#Julia , can't
try that
It acts like a dictionary, so you need square brackets:
ENV[STAN_HOME]
(this works cross-platform, modulo platform conventions)
On Sun, Nov 23, 2014 at 12:11 AM, Rob J. Goedman goed...@icloud.com wrote:
Hi,
In Stan.jl and Jags.jl I look for environment variables.
On unix
```
ccall(
Thanks Isaiah!
Sent from my iPhone
On Nov 22, 2014, at 9:44 PM, Isaiah Norton isaiah.nor...@gmail.com wrote:
It acts like a dictionary, so you need square brackets:
ENV[STAN_HOME]
(this works cross-platform, modulo platform conventions)
On Sun, Nov 23, 2014 at 12:11 AM, Rob J.
https://github.com/JuliaLang/julia/issues/9118
On Sun, Nov 23, 2014 at 10:41 AM, Amit Murthy amit.mur...@gmail.com wrote:
This works:
function doparallelstuff(m = 10, n = 20)
# initialize variables
localX = Base.shmem_rand(m; pids=procs())
localY = Base.shmem_rand(n;
On Sunday, November 23, 2014 3:11:29 PM UTC+10, Rob J Goedman wrote:
Hi,
In Stan.jl and Jags.jl I look for environment variables.
On unix
```
ccall( (:getenv, libc), Ptr{Uint8}, (Ptr{Uint8},), bytestring(var))
```
works fine.
But not on Windows. I've seen
ENV(STAN_HOME)
That seems like a bug – if you would file an issue, that would be great.
On Sat, Nov 22, 2014 at 11:37 PM, colintbow...@gmail.com wrote:
Hi all,
I'm observing the following behaviour with workspace() on julia v0.3.0+6
on Ubuntu 14.04
julia eval(parse(1+1))
2
julia workspace()
julia
Done. Issue #9119.
Cheers,
Colin
On Sunday, November 23, 2014 5:08:50 PM UTC+11, Stefan Karpinski wrote:
That seems like a bug – if you would file an issue, that would be great.
On Sat, Nov 22, 2014 at 11:37 PM, colint...@gmail.com javascript:
wrote:
Hi all,
I'm observing the
Thanks for the comments. Many of these things are on the radar, and
contributions are very much welcome and encouraged. As is often the case in
open source projects at a relatively early stage, such issues are not
technically blocked so much as rate-limited by concerns like graduation,
tenure, and
Thanks! This is extremely helpful.
Can you tell me more about what localize_vars does?
On Sat, Nov 22, 2014 at 9:11 PM, Amit Murthy amit.mur...@gmail.com wrote:
This works:
function doparallelstuff(m = 10, n = 20)
# initialize variables
localX = Base.shmem_rand(m; pids=procs())
From the description of Base.localize_vars - 'wrap an expression in let
a=a,b=b,... for each var it references'
Though that does not seem to the only(?) issue here
On Sun, Nov 23, 2014 at 11:52 AM, Madeleine Udell madeleine.ud...@gmail.com
wrote:
Thanks! This is extremely helpful.
Can
Yes, I read the code, but I'm not sure I understand what the let statement
is doing. It's trying to redefine the scope of the variable, or create a
new variable with the same value but over a different scope? How does the
let statement interact with the namespaces of the various processes?
On
First off, Thanks for the quick replies.
As I need to stay in 3.0 for now if i understand correctly I will need to go
the llvm assembly route.
Any pointers or example you recommend as my llvm knowledge is on the low side...
Again thanks,
-ETL
I am able to compile and execute all CUDA samples on my machines and
successfully built kernels.ptx
but when I try to startup the backend I get the following error:
22-Nov 13:55:25:INFO:root:Initializing CuDNN backend...
error compiling init: could not load module libcuda:
dlopen(libcuda.dylib,
The issue was likely fixed September 7th, and you will need to update Julia to
get the fix. Please comment here or on the issue if you still have problems.
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