I think this sort of thing is usually called a ragged array, you might
find more use cases, examples, etc., googling for that term.
+1 on having a package for this, Array{Array{T}} often feels very awkward.
On Tuesday, September 2, 2014 9:03:56 AM UTC-7, Reid Atcheson wrote:
A common
OK I simplified my code, so now it just requires the following commands for
wave on square + dirichlet (PDEs on disks/cylinders will come soon..):
using GLPlot, GLAbstraction, ModernGL, ApproxFun
h= 0.005
#
u0 =
+1 for such a package.and for Ragged Array.
I hope the goal is for slicing to work like numpy.
Stefan Karpinski wrote:
No, this is a pretty contentious issue. A lot of the relevant discussion is
in #4774 https://github.com/JuliaLang/julia/issues/4774. The one thing
everyone agrees on which is going to happen in 0.4 for sure is that
Hi Tim,
Yes, it turns out it was an issue with my computer. I now have it working
fine.
In any case, I was wondering is there any package or any way I can
interpolate over an unevenly spaced grid?
Cheers,
Jude
On Tuesday, September 2, 2014 5:54:41 PM UTC+1, Tim Holy wrote:
As it is, this
Hi,
I am in the process of converting my Matlab code to Julia. I see that there
is a package called NLopt available but rather than spending time trying to
decipher the syntax, I was wondering if anyone knows the syntax for doing
something similar to Matlab's fminbnd, eg, I have something like
Dear experts,
I've looking at the documentation Embedding Julia
(http://julia.readthedocs.org/en/latest/manual/embedding/) to figure out
how I can call my own julia functions from within C, and I'm struggling to
figure out how I should define the jl_module_t that corresponds the module
I've
It depends on what you mean. If you mean non-copying slices, then yes. If
you mean that all singleton slices are dropped, then that seems less likely.
On Wed, Sep 3, 2014 at 7:20 AM, Neal Becker ndbeck...@gmail.com wrote:
I hope the goal is for slicing to work like numpy.
Stefan Karpinski
What is an easy way of parsing a line of comma separated double quoted
strings into an array of strings? I have some CSV files with multiple
headers lines. In Julia 0.2.1 I did it this way.
eval(parse(cols = [ * cols[1:end-2] * ])) # -2 to avoid the \r\n
eval doesn't appear to exist in Julia
Thanks Kevin, that sounds like a good approach!
On Tuesday, 2 September 2014 23:23:44 UTC-4, Kevin Squire wrote:
Assuming you're using the Travis testing framework, one way to handle this
would be to modify the .travis.yml to install MongoDB. For the Linux
build, it would be easiest if you
On Wednesday, September 3, 2014 9:05:07 AM UTC-4, Alex wrote:
## Make Container Function because I can only optimize over x, even
though z is still a parameter
function test_max(x,z)
x[1]^2 + z
end
This is a bit more complicated than is necessary. Just write your
objective as
Note also that fminbnd uses box constraints, and the analogous thing in
NLopt is to just write:
lower_bounds!(opt, lbA1)
upper_bounds!(opt, ubA1)
However, Jude, I should also point out that I don't want to read the
manual, please just write my code for me is not the most courteous way
Alex and Steven,
Thanks so much for your reply! It's really helpful! :) Stephen, I did spend
a bit of time on it prior to sending this but was a little confused and
this has really aided my understanding so thanks a lot!
Jude
On Wednesday, September 3, 2014 3:44:56 PM UTC+1, Steven G.
Hi all,
I could compile Julia correctly again after
make -C deps distclean-llvm
(following an advice taken from the link posted by Kevin :
https://github.com/JuliaLang/julia/issues/8200)
but that meant I had to recompile the whole thing. I had also to 'make
clean', after the first attempt,
I think RaggedArrays.jl is a good, clear name. Looking forward to a
packaged version!
On Wed, Sep 3, 2014 at 11:06 AM, Reid Atcheson reid.atche...@gmail.com
wrote:
I like the idea of renaming this to Ragged array. I'll go ahead and do
that, and try to package-ify this. If I step on any toes
I like the idea of renaming this to Ragged array. I'll go ahead and do
that, and try to package-ify this. If I step on any toes here by using
ragged array then I guess people will let me know. Enforcing data
contiguity might make certain operations hard that people might expect to
be useful -
Hey Andrea,
You didn't do anything wrong. I think there's a bug in the Makefile that
makes things sometimes break, which is unfortunate.
-- Leah
On Wed, Sep 3, 2014 at 10:06 AM, Andrea Vigliotti
andrea.viglio...@gmail.com wrote:
Hi all,
I could compile Julia correctly again after
make
Would it be possible and/or worthwhile to allow indexing with dropped
singleton dimensions with a period modified.
eg
a[1,:,:] works as now, returns an Array with 3 dimensions
a.[1,:,:] returns an Array with 2 dimensions
It sort of fits into the use of . as a modifier to represent broadcasting.
I think using curly braces to denote indexing with dropped singleton
dimensions would be nice:
eg
a[1,:,:] works as now, returns an Array with 3 dimensions
a{1,:,:} returns an Array with 2 dimensions
I realize this has syntax conflicts at this point but it seems it could be
made to work.
Bob
Is there a preferred idiom in Julia to match the equivalent Python:
if __name__ == '__main__':
run_like_a_command()
else:
be_a_module()
I tried searching, but apparently am not hitting the right keywords. Maybe
my terminology is incorrect.
Thanks, and sorry if this is obvious.
May I suggest searching for __main__
https://groups.google.com/forum/?hl=en#!searchin/julia-users/__main__?
On Wednesday, September 3, 2014 7:20:46 PM UTC+2, David Smith wrote:
Is there a preferred idiom in Julia to match the equivalent Python:
if __name__ == '__main__':
Ha ha ha.
Thank you. Clearly I need more coffee today.
On Wednesday, September 3, 2014 12:32:56 PM UTC-5, Ivar Nesje wrote:
May I suggest searching for __main__
https://groups.google.com/forum/?hl=en#!searchin/julia-users/__main__?
On Wednesday, September 3, 2014 7:20:46 PM UTC+2, David
Thanks for explanation Stefan. My goal was to use a constant vector
inside a macro as a... constant vector. The benefits are obvious, I could
feed the constant coefficients used in evalpoly into, say, evalpade, or
do some computation between two or more constant vectors in a form
I understand
Add me to the list of people excited about slicing changes.
Is there any way '|' could be distinguished from the boolean operation? As
in, a|1,:,:| ?
What about a[k,.,.]? The dots would remind me that it handles singleton
dimensions in a special way.
Ooh, what about a[k,\cdot,\cdot]?
On Wednesday, September 03, 2014 10:57:16 AM David Smith wrote:
Also, why don't we have a squeeze(A::AbstractArray{T,N}) method that
eliminates all singleton dimensions? If we had that, indexing returning
singleton dimensions wouldn't be as bad. Currently, having to write
squeeze(a[k,:,:],1)
Or rather (sound of head slap here) define a module dconst, make certain
it it imported and in the macro use dconst.eval(dconst.name)?
Don
On Wednesday, September 3, 2014 10:47:00 AM UTC-7, Don MacMillen wrote:
Thanks for explanation Stefan. My goal was to use a constant vector
inside a
Ok, so you can continue using the old squeeze. Us reckless types can use
the aggressive one. ;-)
I don't see why it shouldn't be available. Is there a fear that new users
will run into subtle errors and hate Julia because of it?
What I hate is typing squeeze(x, 1) all the time.
On
Use vec
On Sep 3, 2014, at 11:35 AM, David Smith david.sm...@gmail.com wrote:
Ok, so you can continue using the old squeeze. Us reckless types can use the
aggressive one. ;-)
I don't see why it shouldn't be available. Is there a fear that new users
will run into subtle errors and hate
That does not do the same thing as squeeze on a 3+-dimensional array.
On Wednesday, September 3, 2014 1:40:53 PM UTC-5, John Myles White wrote:
Use vec
On Sep 3, 2014, at 11:35 AM, David Smith david...@gmail.com javascript:
wrote:
Ok, so you can continue using the old squeeze. Us
Sure, if you want to be reckless you can put this into your .juliarc.jl:
import Base: squeeze
squeeze(A::AbstractArray) = squeeze(A, filter(i-size(A,i)==1, 1:ndims(A)))
You can of course choose to submit the second line as a pull request, and see
what folks think.
--Tim
On Wednesday,
I believe it is all in place now:
https://github.com/ReidAtcheson/RaggedArrays.jl
There is not a versioned release yet, which I will wait to do until it is a
little more fleshed out. Functionality is still basic.
On Wednesday, September 3, 2014 10:08:40 AM UTC-5, Stefan Karpinski wrote:
I
This happened when I Pkg.add(IJulia) from a new Julia 0.3:
julia Pkg.add(IJulia)
INFO: Installing IJulia v0.1.15
INFO: Installing JSON v0.3.7
INFO: Installing REPLCompletions v0.0.3
INFO: Installing ZMQ v0.1.13
INFO: Building LibCURL
===[ ERROR:
I think I'll hold out for an intrinsic notation, like x[k,\cdot,\cdot], or
x[k,\vdots,\vdots].
Or x[k,_,_]
I'd enjoy writing array manipulations more without squeeze's interspersed.
On Wednesday, September 3, 2014 1:51:13 PM UTC-5, Tim Holy wrote:
Sure, if you want to be reckless you can
Yes, of course it is used for type parameters. But that seems
straightforward to disambiguate from indexing an array.
Bob
On Wed, Sep 3, 2014 at 11:39 AM, Stefan Karpinski ste...@karpinski.org
wrote:
Indexing with curly braces already means something – that's how you
specify type parameters.
Hey all,
Following IPython's rename to Jupyter I've updated the name of the Jupiter
plugin in LT's plugin manager. If you have Jupiter or Jewel currently
installed in Light Table, please remove them from the plugin manager.
You can then reinstall the plugin by searching for Juno (the raw Julia
Thanks! I'm a very happy user of Juno+LT.
I really enjoy the lesser-known key combos of C-d and C-m, which pop up
help() and methods() for functions.
On Wednesday, September 3, 2014 3:58:54 PM UTC-5, Mike Innes wrote:
Hey all,
Following IPython's rename to Jupyter I've updated the name
Ok, the Ctrl-d doc shortcut is broken now. I get this error. Do I still
need the Jewel julia package?
I get a similar error with Ctrl-m as well.
-
WARNING: LightTable.jl: `getthing` has no method matching getthing(::Nothing)
in anonymous at
On Thursday, August 28, 2014 6:34:07 AM UTC-4, Steven G. Johnson wrote:
The problem is that PyPlot doesn't currently work with Matplotlib 1.4; see
https://github.com/stevengj/PyPlot.jl/issues/79
Hopefully I'll be able to fix this soon, but for now you probably need to
use Matplotlib 1.3.
Glad you like it! I'm not seeing this, though – what's your version of
Jewel.jl? Did you Pkg.update()?
On 3 September 2014 17:21, David Smith david.sm...@gmail.com wrote:
Ok, the Ctrl-d doc shortcut is broken now. I get this error. Do I still
need the Jewel julia package?
I get a similar
I'm pleased to announce the availability of the FastAnonymous package:
https://github.com/timholy/FastAnonymous.jl
Those of you who have used Julia for a while may know that things such as
map(myfunction, collection)
do not have ideal performance, and particularly the anonymous-function
Ah, Pkg.update() fixed it. Thanks.
Someday I hope to be such a pro Julia user that I always remember to try
Pkg.update() first.
On Wednesday, September 3, 2014 4:44:25 PM UTC-5, Mike Innes wrote:
Glad you like it! I'm not seeing this, though – what's your version of
Jewel.jl? Did you
El miércoles, 3 de septiembre de 2014 15:58:54 UTC-5, Mike Innes escribió:
Hey all,
Following IPython's rename to Jupyter I've updated the name of the Jupiter
plugin in LT's plugin manager. If you have Jupiter or Jewel currently
installed in Light Table, please remove them from the
OK, I worked out how to clear the console (right-click on the console
space).
Then when I click anywhere, I get
-
WARNING: LightTable.jl: stat: too many symbolic links encountered (ELOOP)
in stat at ./stat.jl:43
in isdir at stat.jl:103
in filter! at array.jl:1214
in
Ok, this is to do with the code that scans for the current module. Looks
like you have a circular symbolic link on your system? Either way I can
release a patch that ignores this error easily enough.
On 3 September 2014 18:55, David P. Sanders dpsand...@gmail.com wrote:
OK, I worked out how
Ok, give Pkg.update() a go
On Wednesday, 3 September 2014 18:55:04 UTC-4, David P. Sanders wrote:
OK, I worked out how to clear the console (right-click on the console
space).
Then when I click anywhere, I get
-
WARNING: LightTable.jl: stat: too many symbolic links
I have been struggling to find a fast and elegant way to implement the
following algorithm.
I have an Array{Float64, 2}, say X = randn(100,2) and an Array{Int64, 1},
call it cl which denotes row-blocks of X. More concretely:
0.863377 0.867817 1.0
-0.310559 -0.863393 1.0
1.74963
I would love to get Julia and/or IJulia up and running on my BeagleBone
Black, but it seems that Julia is currently x86-specific. Any idea when it
will be available for ARM?
Is it possible to retrieve the contents of command line arguments in
parallel processing mode? I'm having trouble making it work. For example,
if the file temp.jl contains:
addprocs(2)
@everywhere println(ARGS)
Then when I type
bash$ julia temp.jl 1 2 3
I get:
UTF8String[1,2,3]
From
The ARGS you see there are what is passed to each worker on startup. Try
something like:
@everywhere myargs = ARGS
@everywhere println(myargs)
On Wed, Sep 3, 2014 at 10:33 PM, Thomas Covert thom.cov...@gmail.com
wrote:
Is it possible to retrieve the contents of command line arguments in
that also doesn't work. here is the output:
UTF8String[ From worker 2: UTF8String[--worker,--bind-to,10.0.0.6]
1,2,3]
From worker 3: UTF8String[--worker,--bind-to,10.0.0.6]
On Wednesday, September 3, 2014 9:59:30 PM UTC-5, Isaiah wrote:
The ARGS you see there are what is passed to each
So, assuming you have a CSV file that looks like this:
~~~
Column One,2,3,4
Column Two,2,5,7
Column Three,1,9,8
~~~
But each line has a lot more numbers in it. I would like to read it into a
DataFrame, where the DataFrame would understand it as:
~~~
Column One, Column Two, Column Three
2,2,1
Slightly sacreligious, but I would suggest reading it into Python Pandas
and transposing it (possibly using the Pandas.jl interface).
Julia's DataFrames doesn't support transposable tables (although there may
be other ways to deal with it).
Cheers,
Kevin
On Wednesday, September 3, 2014, Leah
I usually go straight to the source when looking for things in DataFrames
as the documentation is missing quite a bit of functionality (push!, hcat,
vcat, melt etc..) but in this case as Kevin mentioned: no dice.
But you can always hack it:
using DataFrames
fname = datat.csv
data =
See the arm-make3 branch. I have an ARM chromebook, and it currently
crashes in building the system image. I haven't been able to look into this
further. I am guessing we will be ready in the 0.5 timeframe.
If someone does want to try their hand at the ARM port, I can set up ssh on
my
Hello all,
I'm attempting to set up the ability to use an IJulia environment with the
kernel operating on my university's cluster. I believe this should be
possible, except that thus far I have been unable to build Nettle properly.
The gist linked below is the message I get. It appears the
I can confirm the arm-make3 branch does not build on the BBB. My company is
interested in getting Julia on ARM. I think the biggest issue is that
ubiquitous ARM devices are poor for building software quickly. Also with
Red Hat and possibly Amazon entering the ARM server space this will become
more
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