[julia-users] Re: For loop = or in?

actually its more about simple confusion rather than mental cost @DNF. Starting out you either use = or in then you see some other code and they use something else and wonder, what is right, is one notation faster or better, what's going on? Of course, it's not the simplest thing to try and

Re: [julia-users] Re: For loop = or in?

My only problem with `=` vs `in` is that even the base julia code is inconsistent! Looking at one file ( I can't remember which now) it had both i = 1:nr and i in 1:n Again this was in the same file! Please tell me I am not being pedantic when I saw this and thought this must be fixed if even

Re: [julia-users] Re: For loop = or in?

+1 @Tom Breloff . I was confused about this when starting out. Comparing `for i in 1:3` vs `for i = 1:3`, even though I regularly use matlab if you think about it for `i = 1:10` doesn't really make a lot of sense. It would be nice if it was just one way as opposed to the confusion about

Re: [julia-users] Anaconda Python

first came npm, and then . jpm : ) On Tuesday, November 3, 2015 at 6:27:39 AM UTC-5, Stefan Karpinski wrote: > > On Mon, Nov 2, 2015 at 9:00 PM, > wrote: > >> Would you like it if someone came along and forked all of Julia, >> especially Pkg, and created forks

[julia-users] Re: julia -E or -e with print ?

; > You need to escape certain characters in your terminal so that they are > passed faithfully to Julia. > > On Wednesday, November 4, 2015 at 11:05:29 AM UTC-8, feza wrote: >> >> I must be doing something wrong but: >> >> julia -e "print("hello")" >> >> gives me >> ERROR: syntax: incomplete: premature end of input >> >

[julia-users] julia -E or -e with print ?

I must be doing something wrong but: julia -e "print("hello")" gives me ERROR: syntax: incomplete: premature end of input

[julia-users] juliaw.exe? Run julia without terminal window popup?

How can I run julia without a terminal window poping up. Something like where in python you have: pythonw.exe to do this and also javaw.exe for java. I

[julia-users] Re: colors on cmd on Windows 10

Is Julia way slower on Windows? That's an interesting anecdote. Anyone else have something to add regarding this. I don't know why this would be true. I did notice that when I built julia from source on my machine, my built version of julia was consistently slower than the binaries available on

[julia-users] Re: colors on cmd on Windows 10

reabouts. > > > On Thursday, October 15, 2015 at 9:36:50 PM UTC-7, feza wrote: >> >> Is Julia way slower on Windows? That's an interesting anecdote. Anyone >> else have something to add regarding this. I don't know why this would be >> true. >> I did notice th

[julia-users] Re: colors on cmd on Windows 10

: > > We do just that on Windows, for now: > https://github.com/JuliaLang/julia/blob/706600408aba8b142c47c2bc887bde0d9bf774cf/src/init.c#L73-L78 > > > On Thursday, October 15, 2015 at 11:03:11 PM UTC-7, feza wrote: >> >> Is there a way to have julia default to --pr

[julia-users] Re: Everything I wrote in version .3 is now 'depreciated'

On a related note. What is the recommended procedure for dealing with depreciations? Do we just update all the deprecations and push the changes? This would make the package useless for 0.3 users or is this the recommended procedure. On Friday, October 16, 2015 at 7:39:05 PM UTC-4, Forrest

Re: [julia-users] 900mb csv loading in Julia failed: memory comparison vs python pandas and R

Same here on a 12gb ram machine _ _ _ _(_)_ | A fresh approach to technical computing (_) | (_) (_)| Documentation: http://docs.julialang.org _ _ _| |_ __ _ | Type "?help" for help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version

Re: [julia-users] 900mb csv loading in Julia failed: memory comparison vs python pandas and R

Finally was able to load it, but the process consumes a ton of memory. julia> @time train = readtable("./test.csv"); 124.575362 seconds (376.11 M allocations: 13.438 GB, 10.77% gc time) On Tuesday, October 13, 2015 at 4:34:05 PM UTC-4, feza wrote: > > Same here on

[julia-users] Re: ANN: A potential new Discourse-based Julia forum

Wow this looks great. Much better than google groups which is rather annoying in many respects. Looking forward to using this sometime in the future. Do you think mathjax support for latex equations would be useful for a Julia forum? On Saturday, September 19, 2015 at 8:16:36 PM UTC-4,

[julia-users] Nicer syntax collect(linspace(0,1,n))?

In matlab x = linspace(0,1,n) creates a vector of floats of length n. In julia it seems like the only way to do this is to use x = collect( linspace(0,1,n) ) . Is there a nicer syntax? I do mainly numeric computing and I find this quite common in my code. Thanks.

Re: [julia-users] Nicer syntax collect(linspace(0,1,n))?

converts it to a vector. Though the returned t will > be linspace object. > > On Wednesday, September 30, 2015 at 12:10:55 PM UTC+10, feza wrote: >> >> Here's the code I was using where I needed to use collect (I've been >> playing around with Julia, so any suggestions

Re: [julia-users] Nicer syntax collect(linspace(0,1,n))?

FYI this discussion is in relation to Julia 0.4. Initially I had some deprecation warnings but they have mostly gone away. I have no real objection, perhaps it's just a little weird that the repl returns julia> x linspace(0.0,10.0,50) as opposed to printing it out like a full array. Perhaps

[julia-users] Re: ANN: jlcall - Call Julia from MATLAB through the MEX interface

Looks like it works cheers Building with 'Microsoft Visual C++ 2015 Professional'. cl /c /Zp8 /GR /W3 /EHs /nologo /MD /O2 /Oy- /DNDEBUG /D_CRT_SECURE_NO_DEPRECATE /D_SCL_SECURE_NO_DEPRECATE /D_SECURE_SCL=0 /DMATLAB_MEX_FILE -IC:\Julia\Julia-0.5.0-dev\include\julia -I"C:\Program

Re: [julia-users] inlace versions of .*=, ./= etc

I think I am misunderstanding the temporary array allocation process. Is it allocating one or two temp arrays? Where have I gone wrong here: tmp = 2y (allocates a temporary array to store result) tmp .-= 4z (also allocates a temporary array for 4z? Why not just use z directly, thus tmp[i] =

[julia-users] Re: Triangular Dispatch, Integerm Range and UniformScaling error

Why not use foo{I<:Integer}(u::UnitRange{I}) = 1 On Sunday, November 22, 2015 at 7:38:29 AM UTC-5, andrew cooke wrote: > > > Out of my depth here - no idea if this is a bug or me... > > julia> foo{I<:Integer,U<:UnitRange{I}}(u::U) = 1 > ERROR: TypeError: UnitRange: in T, expected T<:Real, got

[julia-users] julia4 and julia5 under fedor0

Hi all how can install both julia 4 and julia 5 on fedora I have read http://julialang.org/downloads/platform.html I have performed sudo dnf copr enable nalimilan/julia-nightlies sudo dnf copr enable nalimilan/julia and then dnf install julia this only gets me julia0.5 . Is there a way

[julia-users] Re: ANN: JuMP 0.12 released

I suggest clarification in the documents regarding which mode of automatic differentiation since this can have a large impact on computation time. It seems like this 'ForwardDiff is only used for used-defined functions with the autodiff=true option. ReverseDiffSparse is used for all other

[julia-users] hypot question

Why is hypot1 preferred (in Base) over hypot2 ? To me it seems better to just return yin the one commented line function hypot2{T<:AbstractFloat}(x::T, y::T) x = abs(x) y = abs(y)

[julia-users] Re: hypot question

UTC-4, feza wrote: > > Good catch Jeffrey. I will file a bug report! > > On Saturday, March 26, 2016 at 3:50:31 PM UTC-4, Jeffrey Sarnoff wrote: >> >> Looking at your note, I noticed this: >> >> * hypot(Inf,NaN) == hypot(NaN,Inf) == Inf* >> >>

[julia-users] Re: hypot question

I don't think that's the reason, since: ``` if x == 0 r = y/one(x) # Why not just return y? ``` This can only happen if x = 0 or x = 0.0 and y = NaN or x = 0 or x = 0.0 and y = 0 or y = 0.0

[julia-users] Re: Announcing JuDE: autocomplete and jump to definition support for Atom

Nice I will try this! BTW which theme are you using :) On Sunday, March 20, 2016 at 2:58:15 PM UTC-4, James Dang wrote: > > Hi All, Julia has been great for me, and I wanted to give back a little. > LightTable and Atom are great editors, but I was really starting to miss > good

[julia-users] Re: hypot question

0) is +0, hypot(±∞, qNaN) is +∞, and >> hypot(qNaN, ±∞) is +∞ -- IEEE 754-2008 (page 43) > > > > > >> > > For the hypot function, hypot(±0, ±0) is +0, hypot(±∞, qNaN) is +∞, and >> hypot(qNaN, ±∞) is +∞ > > > On Saturday, March 26, 2016 at 4:1

[julia-users] How to suppress output from interactive session

julia> 3 3 How can I suppress this during an interactive julia session Thanks

Re: [julia-users] How to suppress output from interactive session

Sorry I meant without using ; I.e. to have it permanently without ; On Saturday, March 26, 2016 at 6:40:16 PM UTC-4, Miguel Bazdresch wrote: > > 3; > > On the REPL the ; acts just like it does in Matlab, suppressing the output. > > -- mb > > On Sat, Mar 26, 2016

[julia-users] Re: [ANN] GLVisualize

Package looks like great. In light of this comment, how's the 2d graphics? Can we expect some processing style API, I would love to help anyway I can. Also I find some of the examples to be rough (antialiasing issues?) Thanks. On Thursday, March 3, 2016 at 7:05:44 AM UTC-5, Job van der Zwan

[julia-users] Re: Bug in daxpy! ???

posted issue : https://github.com/JuliaLang/julia/issues/15393 On Friday, March 4, 2016 at 3:48:43 AM UTC-5, pev...@gmail.com wrote: > > Hello all, > I was polishing my call and I have found the following definition of > daxpy! I was not aware of > > > function axpy!{Ti<:Integer,Tj<:Integer}(α,

[julia-users] Re: GPU capabilities

. > > On Thursday, April 28, 2016 at 1:13:56 PM UTC-7, feza wrote: >> >> Hi All, >> >> Has anyone here had experience using Julia programming using Nvidia's >> Tesla K80 or K40 GPU? What was the experience, is it buggy or does Julia >> have no problem.? >> >

[julia-users] Re: why's my julia code running slower than matlab, despite performance tips

https://gist.github.com/musmo/27436a340b41c01d51d557a655276783 On Sunday, May 8, 2016 at 3:17:39 AM UTC-4, feza wrote: > > I have read the performance section and believe I have followed all the > suggested guidelines > > The same matlab script takes less than 3 seconds, julia 0.

[julia-users] Re: why's my julia code running slower than matlab, despite performance tips

nstant array of Ints, and its elements multiply ux, uy > and uz in a loop, where ux, uy and uz are arrays of floats, so there's a > type stability problem. > > On Sunday, May 8, 2016 at 9:18:09 AM UTC+2, feza wrote: >> >> https://gist.github.com/musmo/27436a340b41c01d51d557a

[julia-users] Re: why's my julia code running slower than matlab, despite performance tips

That's no surprise your CPU is better :) Regarding devectorization for l in 1:q for k in 1:nz for j in 1:ny for i in 1:nx u = ux[i,j,k] v = uy[i,j,k] w = uz[i,j,k] cu = c[k,1]*u + c[k,2]*v +

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

ke your > life harder in the end ( > http://c2.com/cgi/wiki?GlobalVariablesAreBad)---it's > not a bad thing that julia provides gentle encouragement to avoid using > them, > and you're losing out on opportunities by trying to sidestep that > encouragement. > >

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

Milan Script is here: https://gist.github.com/musmo/27436a340b41c01d51d557a655276783 On Sunday, May 8, 2016 at 12:40:44 PM UTC-4, feza wrote: > > Thanks for the tip (initially I just transllated the matlab verbatim) > > Now I have made all the changes. In place operations, and dir

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

; Also try: > julia -O --check-bounds=no yourcode.jl > > On Monday, May 9, 2016 at 2:03:58 AM UTC+9, feza wrote: >> >> Milan >> >> Script is here: >> https://gist.github.com/musmo/27436a340b41c01d51d557a655276783 >> >> >> On Sunday, May 8, 20

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

1:nz >> to >>for k in 1:nz, j in 1:ny, i in 1:nx >> because your arrays are defined like a[i,j,k]? >> >> Another question is, how many cores is your Matlab code using? >> >> >> On Monday, May 9, 2016 at 2:03:58 AM UTC+9, fez

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

With all that done, the julia code runs about the same if not better than matlab (using 4 threads) On Sunday, May 8, 2016 at 2:21:42 PM UTC-4, feza wrote: > > Well first problem was that the vectorized version of my code was very > slow. > Then I devectorized still slow, because

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

roughly the same speed. On Sunday, May 8, 2016 at 2:44:19 PM UTC-4, Patrick Kofod Mogensen wrote: > > out of curiosity, what about v0.5?

Re: [julia-users] Re: why's my julia code running slower than matlab, despite performance tips

I mean the revised script runs just as fast if not a tad faster with the latest master as it does on 0.4.5 : ) On Sunday, May 8, 2016 at 5:20:08 PM UTC-4, Patrick Kofod Mogensen wrote: > > Same as v0.4, or same as before you changed the code? > > On Sunday, May 8, 2016 at 8:55:00 PM

[julia-users] why's my julia code running slower than matlab, despite performance tips

I have read the performance section and believe I have followed all the suggested guidelines The same matlab script takes less than 3 seconds, julia 0.45 9.7 seconds (julia 0.5 is even worse...) https://gist.github.com/musmo/27436a340b41c01d51d557a655276783.js";>

[julia-users] GPU capabilities

Hi All, Has anyone here had experience using Julia programming using Nvidia's Tesla K80 or K40 GPU? What was the experience, is it buggy or does Julia have no problem.?

[julia-users] let block question

Is there any difference between version1: let x x = 0 end vs. version2: let local x = 0 end vs version3: let x = 0 end version 1 and 2 ; Function Attrs: uwtable define i64 @julia_t2_67462() #0 { top: ret i64 0

[julia-users] Could someone explain @static?

The docs read @static() Partially evaluates an expression at parse time. For example, @static is_windows() ? foo : bar will evaluateis_windows() and insert either foo or bar into the expression. This is useful in cases where a construct would be invalid on other platforms, such as a ccall to

Re: [julia-users] JuliaCon schedule announced

Patiently waiting on stefan's talk On Sunday, July 3, 2016 at 1:58:48 PM UTC-4, Viral Shah wrote: > > They will keep trickling in. We will announce widely when everything is > up. > > -viral > > > > On 03-Jul-2016, at 9:25 AM, dnm > wrote: > > > > Will Stefan's talk and

[julia-users] Re: ANN: PimpMyREPL.jl

THanks, much better On Wednesday, September 7, 2016 at 3:59:56 AM UTC-4, Kristoffer Carlsson wrote: > > After discussion with the Julia community stewards I have decided to > rename this package. It is now named "OhMyREPL" and can be found at: > https://github.com/KristofferC/OhMyREPL.jl. I