Sorry if this is a RTFM, but I can't find the answer in the documentation
or on the web. I may have missed it. I come from Python where I can build
strings with formatted data using a syntax like
s = pi=%7.1e % acos(-1)
How do I accomplish that in Julia? @printf doesn't do the job because it
@sprintf
On Apr 11, 2014, at 11:18 PM, Dominique Orban dominique.or...@gmail.com wrote:
Sorry if this is a RTFM, but I can't find the answer in the documentation or
on the web. I may have missed it. I come from Python where I can build
strings with formatted data using a syntax like
s =
Thank you! Such a basic operation could feature a bit more prominently in
the documentation.
On Friday, April 11, 2014 11:21:28 PM UTC-7, John Myles White wrote:
@sprintf
On Apr 11, 2014, at 11:18 PM, Dominique Orban
dominiq...@gmail.comjavascript:
wrote:
Sorry if this is a RTFM, but
As a follow-up question, why is the following not allowed?
julia fmt = %8.1e;
julia @sprintf(fmt, 3.1415)
ERROR: first or second argument must be a format string
I don't see how it's different from
julia @sprintf(%8.1e, 3.1415)
What's the appropriate syntax?
Thanks.
On Friday, April 11,
@sprintf is a macro, not a function. It doesn't evaluate its inputs: it just
rewrites the inputs into something else (usually less readable) that carries
out the actual computation. You can see what it does using the macroexpand
function:
julia macroexpand(quote @sprintf(%8.1e, 3.1415) end)
That @sprintf is a macro sort of explains why using a run-time value
doesn't work in the same way, but it isn't really *the* reason since
@sprintf(fmt,
val) could work in principle – it would just have to delegate to a function
if its argument isn't a compile-time string.
If using a run-time
Le samedi 12 avril 2014 à 04:11 -0700, Mike Innes a écrit :
That @sprintf is a macro sort of explains why using a run-time value
doesn't work in the same way, but it isn't really the reason since
@sprintf(fmt, val) could work in principle – it would just have to
delegate to a function if its
This is something of an unsolved problem at the moment, but one way to
explore is methodswith(AType).
If you're looking for more flexible function chaining, I recommend having a
look at the threading macros in
Lazy.jlhttps://github.com/one-more-minute/Lazy.jl#macros
.
On Saturday, 12 April
Well, the answer to this is pretty long...
I'd really like to keep things short, but I'm afraid I can't explain, why I
think that this project is relevant in a short summary.
I'm not naive enough to think that two people could pull off something big
like this.
But that's why you do things Open
Hello,
I am new to the Julia community and am developing a package for parsing
configuration files styled in INI, HTTP, and Simple syntaxes. I am in the
process of cleaning it up and plan to add config file write logic as well.
At the moment, the parsing portion of the package is complete, so
Hello,
I have just installed JuMP but impossible to use it. If I type
julia import JuMP
then Julia is freezed, even after 5 minutes nothing happens. MathProgBase
has been installed too and I have no problem to load it.
*julia versioninfo()*
*Julia Version 0.2.0*
*Commit 05c6461
I often use |. You can get multiple args to work with x... and anonymous
functions.
function foo(a,b)
a * b
end
x = (3,4) | x-foo(x...) | x-foo(x,7)
x == foo(foo(3,4),7) # true
Is this what you were looking for?
Thank you everybody. I have updated my blog
posthttp://stla.github.io/stlapblog/posts/KantorovichWithJulia.html,
especially to include Carlo's comments.
Unfortunately I have some problems to use JuMP (I have opened another
discussion about it). And installing pycddlib on Windows 64bit is a
@jason-sage
You can use methodswith to discover methods on a type. I find it doesn't work a
smoothly as pythons tab completion but I still find it useful.
julia type Parm
a::Float64
b::Int64
end
julia function addparm(x::Parm, y::Parm)
On 4/12/14, 10:59, Ethan Anderes wrote:
@jason-sage
You can use methodswith to discover methods on a type. I find it doesn't work a
smoothly as pythons tab completion but I still find it useful.
Ethan and Mike,
Thanks for pointing out methodswith. I didn't know about that.
Jason
Hi
I'm new to julia - test driving as it were. I'm trying to carry out a
Mann-Wihtney U test on two columns of a DataFrame.
# data available at
http://www.openintro.org/download.php?file=os2_datareferrer=/stat/extras.php
using DataFrames
data_in = readtable(marathon.csv, header=true,
There was a missing method for ApproximateMannWhitneyUTest. If you run
Pkg.update(), this should be fixed. (I also added some tests to make sure
that show() isn't completely broken for any of the types.)
Simon
On Saturday, April 12, 2014 12:29:22 PM UTC-4, Iain Gallagher wrote:
Hi
I'm new
Can the combo of PyCall in Julia be Interfaced with PyCUDA effectively !!
On Friday, April 11, 2014 9:31:16 PM UTC+5:30, Jake Bolewski wrote:
Hi Gexarcha,
I'm the author of the OpenCL package for Julia. Although things have
stalled lately do to other commitments, I think we are slowly
Well, I am interested in it. Will it be available online ! on Youtube !
On Friday, April 11, 2014 5:07:40 PM UTC+5:30, Jiahao Chen wrote:
I will be giving a talk in London to introduce how Julia facilitates
the writing of numerical algorithms.
University College London
Roberts Building,
Does the same thing happen if you do `using JuMP`?
On Saturday, April 12, 2014 10:05:12 AM UTC-4, Stéphane Laurent wrote:
Hello,
I have just installed JuMP but impossible to use it. If I type
julia import JuMP
then Julia is freezed, even after 5 minutes nothing happens. MathProgBase
Possibly worth comparing functionality with
https://github.com/JuliaLang/IniFile.jl
On Saturday, April 12, 2014 12:49:00 AM UTC-4, Brandon Miller wrote:
Hello,
I am new to the Julia community and am developing a package for parsing
configuration files styled in INI, HTTP, and Simple
TL;DR Let's start with some golfing http://codegolf.stackexchange.com/.
Compact Expressiveness: A term I've coined; maybe it already exists, but
don't bother looking it up, I didn't,
In the case of programming languages, loosely, I'm talking about getting
the most out of fewest number of
Yes.
Moreover the solver packages (Clp, ...) are not correctly built, but this
is expected on windows 64bit with the 64bit version of Julia:
https://jump.readthedocs.org/en/release-0.4/jump.html
Thus I should try Julia 32bit anyway.
Le samedi 12 avril 2014 22:07:20 UTC+2, Iain Dunning a
Making STDIN consistently the default input stream and STDOUT consistently the
default output stream is right – any inconsistency there is just an oversight.
Could you open an issue? I don't care for the renaming to readln myself. I've
often considered the idea that lines should be chomped by
I have a port of a BSD printf function which works at about half the speed
of the @printf macro. I was hoping to make it more functional/less ugly,
but I'll see if I can't get it into a pull request, at least, or in a
package if it's not accepted.
I'll also point out Dahua's Formatting.jl
In a recent discussion on inserting unicode characters we talked about the
idea of tab-substitution (instead of vanilla tab-completion), so that when
you type something and hit tab you have options that might replace what
you've typed so far. This could be extended to this use-case as well, so
On Saturday, April 12, 2014 6:02:44 PM UTC-4, Stefan Karpinski wrote:
Making STDIN consistently the default input stream and STDOUT consistently
the default output stream is right – any inconsistency there is just an
oversight. Could you open an issue? I don't care for the renaming to
The issue is good, thanks.
Another option would be to return a tuple of (line, nl) and just let people
either ignore the newline part or use it. Then doing println(line) would
standardize line endings while print(line,nl) would reproduce the input exactly.
On Apr 12, 2014, at 7:26 PM, Jeff
How about leaving readline as it now is and defining readln() to be
chomp(readline())?
On Saturday, April 12, 2014 4:26:48 PM UTC-7, Jeff Waller wrote:
On Saturday, April 12, 2014 6:02:44 PM UTC-4, Stefan Karpinski wrote:
Making STDIN consistently the default input stream and STDOUT
On Saturday, April 12, 2014 7:50:16 PM UTC-4, Peter Simon wrote:
How about leaving readline as it now is and defining readln() to be
chomp(readline())?
That works, and it's backwards compatible. It's a little confusing,
though, because there's 2 read a line functions and which one to use
I just put together a few C and Julia files that let users read models in
the AMPL modeling language for optimization.
https://github.com/dpo/ampl.jl
It's not quite a module or a package; please bear with me as I'm still
learning Julia. This gives access to a huge collection of problems
Hi Daniel, this worked for me in IJulia...
using PyPlot
using PyCall
img = imread(ada.png);
fig = plt.figure()
ax = plt.Axes(fig,[0,0,1,1])
fig[:add_axes](ax)
ax[:set_axis_off]()
ax[:imshow](img,aspect=auto)
ax[:set_aspect](0.5)
plt.show()
Adrian.
On Sun, Apr 13, 2014 at 12:08 AM, Daniel
Hey Dominique,
This is great! I've been hoping someone would put something like this
together. I was just talking about this (among other things) with Miles
over in
julia-opt https://groups.google.com/forum/#!topic/julia-opt/CFyxCfjeOCw
Since there's so much overlap between what AMPL does and
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