So lasme+Winston would look like in the attached picture. There are still
some rough edges: I am not sure the alignment and bounding boxes for the
rotated text are correct and the fontsize is fixed to whatever lasme gives
back (I think it is 10pt). The nice thing is that one could use almost
Somebody now ?
W dniu 2014-10-07 o 17:56, Jacob Quinn pisze:
Sorry I'm not familiar with anything like that.
On Tue, Oct 7, 2014 at 4:21 AM, Paul Analyst paul.anal...@mail.com
mailto:paul.anal...@mail.com wrote:
In Julia 1.0 was command somethink like header()... I forgot but
it
I would definitely be an improvement over the current text renderer. By
the way, do you have an idea of how will it affect the speed of plotting?
On the other hand, what is the main reason for not using the system LaTeX
renderer and use lasme (or any other built-in renderer) as a fallback? I
I have not tested the speed of lasme, but using it would very likely be
slower than the current code since it has to convert tex to mathml and then
parse that to render the formula. I guess for most use cases one could
optimize this difference almost away by caching the mathml (DOM) or even
I think TikzPictures.jl [1] is what you are looking for, but it does not
seem to work with Julia 0.4 out of the box (judging by the automatic
PackageEvaluator issue it broke only recently [2]). I fixed the issue (at
least I think I did) and it now works as expected so you can get it from my
As Jacob suggested, if you load your data into a DataFrame and showall() on
that, you should get a nicer display.
Hi Spencer,
Can I just hop in with a question on your integration/quadrature routine?
I'm working on a value function iteration in a fairly large state space
(think of the order of 500,000 to 1m grid points per period) and hence have
to do calculate a lot of expected values. Naturally, I tried
Hi,
After I started Julia Studio I received this message in the Output Console
window:
ERROR: package directory C:\Users\pamela_j\Documents\v0.3 doesn't exist;
run Pkg.init() to create it.
in error at error.jl:21
in cd at pkg/dir.jl:25
while loading C:\Program
Hey Nils,
That is very interesting. I hadn't noticed any cases where `quadgk` is
faster.
I'm not sure I can give a great answer here without seeing your code and
really digging into the `quadgk` implementation. I can say, however, that
[`do_quad` is a very simple
here is more source code sample for parallel permutation processing.
this code goes over all permutation of `keys` and counts the number of
cycles into `resall`:
https://gist.github.com/dvdgonzales17/2ebb7fd07af9c93994fc#file-parallel-permutation-loop
On Wednesday, October 8, 2014 3:20:12 AM
On Monday, October 06, 2014 01:39:04 AM Jan Kybic wrote:
reinterpret(Uint8, separate(img))
It does not currently work for me:
Argh. Should be fixed now.
--Tim
The integration function appears to have difficulties when the value of the
integral is (very near to) zero. Perhaps it attempts to keep the error term
smaller than the value and therefore needs many more iterations.
I consider this a kind of bug or oversight in the implementation of quadgk,
Hi Spencer, hi Hans,
Thanks for both of your replies.
Spencer, you make a good point about the nodes - of course 65 are way too
many here, and stuffing that many nodes in a small interval is bound to
make your `do_quad` function unnecessarily slow. In fact, in my own
implementation, I get
Something like this?
addprocs(2)
foogen = (x,y) - begin
(I) - (println(I); fill!(Array(Int, map(length, I)), x+y))
end
d=DArray(foogen(2,2), (10,))
From worker 3: (6:10,)
From worker 2: (1:5,)
10-element DArray{Int64,1,Array{Int64,1}}:
4
4
4
4
4
4
4
That’s great!
One more tip. If you know that the integration bounds are going to be
constant over certain iterations (which is likely given that you are doing
value function iteration), it helps performance significantly if you
precompute the nodes and weights before the iterations begin,
I've uploaded a new 0.3.1 binary. Please redownload and see if the startup
time has gotten any better.
-E
I do have changing bounds unfortunately, so I'm stuck with computing the
nodes and weights each time. Using the helper function now, but this
doesn't affect performance - is this just meant to reduce the number of
lines of code I have to write?
Oh ok. Yeas, the helper function is just that: a helper to reduce
repetitive code. It should have no impact on performance.
On Wednesday, October 8, 2014 11:27:55 AM UTC-4, Nils Gudat wrote:
I do have changing bounds unfortunately, so I'm stuck with computing the
nodes and weights each
In any case, very cool project, I read through the QuantEcon book a while
ago when learning Python to do some data analysis and visualization, but
now that I'm back to heavier computational stuff Julia is the language of
choice.
Do you have any sort of documentation anywhere that includes all
Right now we don’t have any documentation specific to QuantEcon.jl. We are
waiting for this issue https://github.com/JuliaLang/julia/issues/8514 to
be closed in the main Julia repo so that we can have a more stable backend
for generating documentation.
All the functionality from QuantEcon.py
I created another issue for my question., so I guess any more followups
should go to the issue discussion rather than this forum.
https://github.com/JuliaLang/julia/issues/8625
-- Steve
On Tuesday, October 7, 2014 4:11:31 PM UTC-4, Jutho wrote:
There are some open issues with type alias ,
I'm not even sure JuliaStudio works with 0.3, which it looks like its
trying to do.
On Wednesday, October 8, 2014 7:29:46 AM UTC-4, pamj...@gmail.com wrote:
Hi,
After I started Julia Studio I received this message in the Output Console
window:
ERROR: package directory
If calculating the nodes and weights is the bottleneck, another suggestion
might
be on spot:
Sometimes Clenshaw-Curtis is considered to be faster than Gauss-Legendre as
it computes nodes and weights using the Fast Fourier Transform (FFT).
In my own tests some time ago (not in Julia at that
Big Thx,
W dniu 2014-10-08 o 12:18, Keith Campbell pisze:
As Jacob suggested, if you load your data into a DataFrame and
showall() on that, you should get a nicer display.
As far as I can tell, pkg.julialang.org is down. Is there some
alternative way of browsing packages while it's down and/or has it
move somewhere else? Pkg.available() is a bit terse for me.
Hi,
I have a DataFrame with 10 columns, say :c1 to :c10. I need to do a
groupby, grouping by 4 of these columns. When I try,
$ groupby(df,[:c1,:c3,:c4,:c7])
I get the following error:
MemoryError()
while loading In[13], in expression starting on line 1
in groupsort_indexer at
all of julialang.org seems down
It's up for me in Norway.
kl. 21:43:08 UTC+2 onsdag 8. oktober 2014 skrev Ariel Keselman følgende:
all of julialang.org seems down
Interesting. julialang.org is up for me, but pkg.julialang.org is down
for me and downforeveryoneorjustme.com also shows it as down.
On Wed, Oct 8, 2014 at 2:49 PM, Ivar Nesje iva...@gmail.com wrote:
It's up for me in Norway.
kl. 21:43:08 UTC+2 onsdag 8. oktober 2014 skrev Ariel Keselman
This is a DNS issue. I was just on the phone with 11
http://www.1and1.com/ which is the domain registrar I use and which
provides DNS service for julialang.org. They're having some name server
issue and the name servers that are responsible for julialang.org aren't
responding to DNS requests and
This all depends on your upstream DNS servers and whether they have these A
records cached or not. So everyone's going to see different stuff.
On Wed, Oct 8, 2014 at 3:49 PM, Ivar Nesje iva...@gmail.com wrote:
It's up for me in Norway.
kl. 21:43:08 UTC+2 onsdag 8. oktober 2014 skrev Ariel
FWIW, I've had a good experience with Gandi and they generally have a
pretty good reputation (I switched to them because of some HN thread
where someone polled people for their experience with DNS providers,
and they had the most positive responses).
On Wed, Oct 8, 2014 at 2:50 PM, Stefan
I like their trademarked tagline: no bullshit™.
On Wed, Oct 8, 2014 at 3:57 PM, Dan Luu dan...@gmail.com wrote:
FWIW, I've had a good experience with Gandi and they generally have a
pretty good reputation (I switched to them because of some HN thread
where someone polled people for their
Hi again,
I saw that the 0.3.1 version of Julia was already available to install from
the juliareleases repository, and tried to install it. But when I start
Julia now it crashes. It generates a core file and suggests sending a
report (I accepted).
Somebody else has experienced this? I am using
On Xubuntu 14.04 64, it seems to work fine:
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | |
Hello everybody,
I have just implemented my first project in Julia on a 64 bit system.
I re-implemented a C program and even after optimizing my code using the
profiler I can only reach roughly half of its speed.
Most of the CPU time is spend in methods from the Base.LinAlg.BLAS module.
Playing
On Wednesday, October 8, 2014 7:58:19 PM UTC-5, Hubert Soyer wrote:
Since I am on a 64 bit system, every float that I directly specify (x =
1.0) will be a Float64 by default,
and therefore, converting every float variable to Float32 will mess up my
code considerably.
From reading the
I've been trying to get Juno to work (a Julia plugin for Light Table), but
after following the installation instructions on their website
http://junolab.org/docs/installing.html I end up getting the following
error, both on startup and when attempting to execute Julia commands:
Couldn't
On 9 October 2014 09:58, Hubert Soyer hubert.so...@gmail.com wrote:
Is there any way to make floats in Julia default to 32 bit on a 64 bit
system?
At least in a lot of my work 32 bit precision is just fine and the speed I
could potentially gain by simply switching is enormous.
I think
Florian, this sounds very cool.
I'll keep my eye on it and check it out when you feel it is more ready to
go.
Thanks for letting me know about it.
On Monday, October 6, 2014 12:08:02 PM UTC-4, Florian Oswald wrote:
If I may, I've got an implementation of linear interpolation that I'm
quite
The errors seem to be due to breaking changes on the master branch. You'll
either have to help the relevant package authors stay compatible, wait until
someone else fixes the problem, or use one of the 0.3.X versions. How did you
install Julia?
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