[julia-users] Re: equivalent of numpy newaxis?

For your particular example, it looks like what you want is (and I am just guessing what mag_sqr means): dist = abs2.(x .- y.') The performance should be the similar to a hand-written loop on version 0.5. You can read about it here:

[julia-users] Re: Complex parallel computing implementation

Thanks - haven't thought of using Dagger (don't have previous experience with it either). I've read the docs now but I'm not sure how using it would help, maybe I'm missing something? My problem is really about running deeply nested function calls across multiple modules, in parallel. Making

Re: [julia-users] Strange behavior of push! and pop! for an array of array elements

Fill behaves this way not because of a specific design choice based on a compelling use case, but because of consistency with other language features. fill does not copy, and arrays are passed by reference in Julia, consequently you have the behavior described below. IMO it is best to learn about

Re: [julia-users] Julia on Research Computing Podcast RCE

Thanks for posting here. I didn't know about this podcast. I listened to a few episodes today... it's great! I hope to hear an episode about Julia soon.

[julia-users] Re: Juno workspace variable display.

Works for me too. Thanks Uwe! I'll put in a feature request to have a it added to the menu. Juno's getting really good. Patrick On Monday, September 12, 2016 at 2:46:31 PM UTC-7, Patrick Belliveau wrote: > > Hi all, > In his JuliaCon 2016 talk >

Re: [julia-users] Strange behavior of push! and pop! for an array of array elements

I have been bitten by this myself. Is there a user case for having an array filled with references to the same object? Why would one want this behaviour? On Tue, Sep 13, 2016 at 4:45 AM, Yichao Yu wrote: > > > On Mon, Sep 12, 2016 at 10:33 PM, Zhilong Liu

Re: [julia-users] Strange behavior of push! and pop! for an array of array elements

On Mon, Sep 12, 2016 at 10:33 PM, Zhilong Liu wrote: > Hello all, > > I am pretty new to Julia, and I am trying to perform push and pop inside > an array of 1D array elements. For example, I created the following array > with 1000 empty arrays. > > julia> vring = fill([],

[julia-users] Strange behavior of push! and pop! for an array of array elements

Hello all, I am pretty new to Julia, and I am trying to perform push and pop inside an array of 1D array elements. For example, I created the following array with 1000 empty arrays. julia> vring = fill([], 1000) Then, when I push an element to vring[2], julia> push!(vring[2],1) I got

[julia-users] Re: Juno workspace variable display.

I can confirm that works. Wow, never knew that was there. It should be added to the menu. Maybe it's still considered experimental. On Monday, September 12, 2016 at 4:27:52 PM UTC-7, Uwe Fechner wrote: > > It works for me: > Try to open the command palette (Cmd-Shift-P on mac, I guess

[julia-users] JuliaDiffEq Logo Poll

Sometime last week I threw up a logo idea, and a ton of other really cool ideas followed. Now that we have so many awesome choices due to a previous thread , it's hard to pick. Help us choose the JuliaDiffEq logo by going to this issue

[julia-users] Re: Juno workspace variable display.

It works for me: Try to open the command palette (Cmd-Shift-P on mac, I guess Ctrl-Shift-P on linux and windows), and type 'julia open workspace'. It opens a window showing all variables and functions in scope. On Monday, September 12, 2016 at 11:46:31 PM UTC+2, Patrick Belliveau wrote: > > Hi

Re: [julia-users] code design question – best ideomatic way to define nested types?

On Monday, September 12, 2016 at 7:22:39 PM UTC-4, Chris Stook wrote: > > Last post was incomplete. > > abstract AbstractFoo > > macro commonfields() > return :( > bar; > foo; > ) > end > > type Foo <: AbstractFoo > @commonfields() > end > > type Foobar <: AbstractFoo >

Re: [julia-users] code design question – best ideomatic way to define nested types?

Last post was incomplete. abstract AbstractFoo macro commonfields() return :( bar foo ) end type Foo <: AbstractFoo @commonfields() end type Foobar <: AbstractFoo @commonfields() barbaz bazbaz end Chris

Re: [julia-users] code design question – best ideomatic way to define nested types?

I use a macro to avoid retyping common fields. abstract AbstractFoo macro commonfields() return :( type Foo <: AbstractFoo bar baz end type Foobar <: AbstractFoo bar baz barbaz bazbaz end

Re: [julia-users] Re: equivalent of numpy newaxis?

I use a simple function for this: function newdim(A::AbstractArray, d::Integer) @assert 0 < d <= ndims(A)+1 dim = size(A) reshape(A, dim[1:d-1]..., 1, dim[d:end]...) end But having syntax for a newaxis would be great. See also: https://github.com/JuliaLang/julia/issues/5405

Re: [julia-users] code design question – best ideomatic way to define nested types?

I think #2 is the right solution, but I also wish there was a nicer syntax to do it. Here's how I'd probably tackle it... if I get around to it soon I'll post the implementation: @abstract type AbstractFoo bar::Int end @extend AbstractFoo type Foo end @extend AbstractFoo type Foobar

Re: [julia-users] Re: equivalent of numpy newaxis?

*julia> a = rand(3)* *3-element Array{Float64,1}:* *0.47428 * *0.505429* *0.198919* *julia> reshape(a, (3,1))* *3×1 Array{Float64,2}:* *0.47428 * *0.505429* *0.198919* *julia> reshape(a, (1,3))* *1×3 Array{Float64,2}:* *0.47428 0.505429 0.198919* Is that what you want? (Note that

[julia-users] Re: equivalent of numpy newaxis?

I haven't studied it, but I guess that newaxis increases the dimensionality, while specifying 0 for the stride. Can reshape do that? Tim Holy wrote: > I'm not certain I understand what `np.newaxis` does, but doesn't `reshape` > do the same thing? (newaxis does look like a convenient way to

[julia-users] Re: Juno workspace variable display.

I don't think it's available yet. This might be something you might want to file a request for by opening an issue. On Monday, September 12, 2016 at 2:46:31 PM UTC-7, Patrick Belliveau wrote: > > Hi all, > In his JuliaCon 2016 talk > on

Re: [julia-users] code design question – best ideomatic way to define nested types?

Ahh, that makes a lot of sense as well. I can see how that would make everything a lot harder to optimize. Thanks for the explanation! On Monday, September 12, 2016 at 2:44:22 PM UTC-7, Stefan Karpinski wrote: > > The biggest practical issue is that if you can subtype a concrete type > then you

[julia-users] Re: can someone help me read julia's memory footprint on this cluster? [SGE]

For SGE, a lot of systems let you ssh into the node and use htop. That will show you a lot of information about the node, and can help you find out which process is using up what about of memory (note, this check only works in real-time so your computational has to be long enough). On Monday,

[julia-users] Re: Tutorial Julia language brazilian portuguese

olá felipe. É uma boa ideia. Se você criar eu compartilho com o pessoal da unb. Hello Felipe. It's a great idea. If you marry I share with the staff of unb. Em segunda-feira, 12 de setembro de 2016 17:54:50 UTC-3, Phelipe Wesley escreveu: > > O que acham de criarmos um grupo Julia-Brasil no

[julia-users] Re: Complex parallel computing implementation

Have you tried Dagger.jl to set up a DAG of computations you need performed? On Monday, September 12, 2016 at 5:04:26 PM UTC-4, Adrian Salceanu wrote: > > This is a random example of an error - not really sure how to debug this, > seems to crash

[julia-users] Juno workspace variable display.

Hi all, In his JuliaCon 2016 talk on Juno's new graphical debugging capabilities, Mike Innes also showed off a workspace pane in Juno that displays currently defined variable values from an interactive Julia session. My impression from

Re: [julia-users] code design question – best ideomatic way to define nested types?

The biggest practical issue is that if you can subtype a concrete type then you can't store values inline in an array, even if the values are immutable – since a subtype can be bigger than the supertype. This leads to having things like "final" classes, etc. Fundamentally, this is really an issue

[julia-users] Re: Complex parallel computing implementation

This is a random example of an error - not really sure how to debug this, seems to crash within the Postgres library. The dump is long but not really helpful. 12-Sep 21:39:38:WARNING:root:Module __anon__ not defined on process 5 12-Sep 21:39:38:WARNING:root:Module __anon__ not defined on

[julia-users] Complex parallel computing implementation

I was wondering if anybody can point me towards a tutorial or a large code base using parallel computing. Everything that is discussed so far in the docs and books is super simple - take a function, run it in parallel, the end. To explain, I'm working on a full stack MVC web framework - so

Re: [julia-users] equivalent of numpy newaxis?

I'm not certain I understand what `np.newaxis` does, but doesn't `reshape` do the same thing? (newaxis does look like a convenient way to specify shape, though.) Best, --Tim On Monday, September 12, 2016 3:28:56 PM CDT Neal Becker wrote: > Some time ago I asked this question >

[julia-users] Re: Help on building Julia with Intel MKL on Windows?

Intel compilers on windows are MSVC style, which our build system is not really set up to handle. There is experimental partial support (search for "MSVC support tracking issue" if you're interested) but it would really require rewriting the build system to use cmake to work smoothly. You can

[julia-users] Re: Tutorial Julia language brazilian portuguese

O que acham de criarmos um grupo Julia-Brasil no slack?

[julia-users] Re: equivalent of numpy newaxis?

It's pretty close. In Julia 0.5, we have all the parts that are required to make this a possibility. We have index types that specify both how many indices in the source array should be consumed (CartesianIndex{N} spans N dimensions) and types that determine what the dimensionality of the

[julia-users] can someone help me read julia's memory footprint on this cluster? [SGE]

hi all, i get the following output from the SGE command `qstat -j jobnumber` of a julia job that uses 30 workers. I am confused by the mem column. am I using more memory than what I asked for? I asked for max 4G on each processor. job-array tasks:1-30:1 usage1:

[julia-users] equivalent of numpy newaxis?

Some time ago I asked this question http://stackoverflow.com/questions/25486506/julia-broadcasting-equivalent-of-numpy-newaxis As a more interesting example, here is some real python code I use: dist = mag_sqr (demod_out[:,np.newaxis] - const.map[np.newaxis,:]) where demod_out, const.map are

Re: [julia-users] code design question – best ideomatic way to define nested types?

https://en.wikipedia.org/wiki/Composition_over_inheritance http://programmers.stackexchange.com/questions/134097/why-should-i-prefer-composition-over-inheritance https://www.thoughtworks.com/insights/blog/composition-vs-inheritance-how-choose That's just the start. Overtime, people realized

[julia-users] Re: Suggestion regarding valuable Youtube videos related to Julia learning

I think we should setup something for video tutorials, like the JuliaBlogger community except for Youtube (is there such a thing as Youtube aggregating?). I plan on doing some tutorials on "Plotting with Plots.jl in Juno", "Solving ODEs with DifferentialEquations.jl", "Using Julia's Pkg with

Re: [julia-users] Re: 1st try julia, 2/3 speed of python/c++

On Sep 12, 2016 2:52 PM, "Páll Haraldsson" wrote: > > On Monday, September 12, 2016 at 11:32:48 AM UTC, Neal Becker wrote: >> >> Anyone care to make suggestions on this code, how to make it faster, or more >> idiomatic Julia? > > > > It may not matter, but this

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

On Monday, September 12, 2016 at 11:32:48 AM UTC, Neal Becker wrote: > Anyone care to make suggestions on this code, how to make it faster, or > more > idiomatic Julia? > It may not matter, but this function: function coef_from_func(func, delta, size) center = float(size-1)/2 return

[julia-users] Re: Help on building Julia with Intel MKL on Windows?

Thanks! I am still a bit confused about this part: To build Julia for Windows, this page says I need to use MinGW compiler either under MSYS2 or Cygwin: https://github.com/JuliaLang/julia/blob/master/README.windows.md However, to build Julia with MKL BLAS and LAPACK libraries, the first link

Re: [julia-users] code design question – best ideomatic way to define nested types?

Looking at this example, it seems mighty tempting to have the ability to subtype a concrete type. Are the exact problems with that documented somewhere? I am aware of the following section in the docs: "One particularly distinctive feature of Julia’s type system is that concrete types may not

Re: [julia-users] code design question – best ideomatic way to define nested types?

Thanks for the prompt response, I will go with that then :-) I actually thought later that I may avoid some of the clutter in approach 2 by adding another level of indirection: abstract AbstractFoo type FooData bar baz #... several other fields end type FoobarData barbaz bazbaz

[julia-users] Want to contribute to Julia

If you're still in learning_julia mode, you could help out by checking the Julia wikibook (https://en.wikibooks.org/wiki/Introducing_Julia) for 0.5 compatibility. I've been through it once to update some of the more obvious changes and deprecations — but "you gotta catch em all", as they say!

[julia-users] Want to contribute to Julia

If you're still in learning_julia mode, you could help out by checking the Julia wikibook (https://en.wikibooks.org/wiki/Introducing_Julia) for 0.5 compatibility. I've been through it once to update some of the more obvious changes and deprecations — but "you gotta catch em all", as they say!

Re: [julia-users] Want to contribute to Julia

I would say start with the package ecosystem. Almost nothing in Julia Base is really first-class or special, so almost anything can contribute to Julia via packages. For example, things like Traits and VML bindings

[julia-users] Suggestion regarding valuable Youtube videos related to Julia learning

The various Youtube videos recorded at Julia conferences look very good. It's great to have explanations given by the experts at the top of the Julia tree, no names mentioned, you know who you are. Thanks for this resource. >From the consumer side, the packages are kinda long. I imagine that

[julia-users] Re: Help on building Julia with Intel MKL on Windows?

You just do what it says here: https://github.com/JuliaLang/julia. Then you can replace a lot of the functions using VML.jl On Sunday, September 11, 2016 at 10:35:35 PM UTC-7, Zhong Pan wrote: > > Anybody knows how to build Julia with Intel MKL on Windows?

Re: [julia-users] Want to contribute to Julia

There are some great resources at http://julialang.org/learning/ Best, --Tim On Monday, September 12, 2016 7:56:46 AM CDT rishucod...@gmail.com wrote: > Thanks for the help. Can you suggest me what should I learn to work in > Julia?

Re: [julia-users] code design question – best ideomatic way to define nested types?

I would probably go with approach #2 myself and only refer to the .bar and .baz fields in all of the generic AbstractFoo methods. On Mon, Sep 12, 2016 at 10:10 AM, Michael Borregaard wrote: > Hi, > > I am defining a set of types to hold scientific data, and trying to

Re: [julia-users] Julia for Data Science book recently released

Great! You'll probably want to make a PR to add this book here: http://julialang.org/learning/ (repo here: https://github.com/JuliaLang/julialang.github.com) On Mon, Sep 12, 2016 at 7:57 AM, Steve Hoberman wrote: > *Julia for Data Science* by Zacharias Voulgaris,

Re: [julia-users] Re: 1st try julia, 2/3 speed of python/c++

All of the globals setup in bench1 are non-const, which means the top-level benchmarking code is pretty slow, but if N is small, this won't matter much. If N is large, it's worth either wrapping the setup in a function body or making all these variables const. On Mon, Sep 12, 2016 at 8:37 AM,

Re: [julia-users] Re: Julia Low Pass Filter much slower than identical code in Python ??

JIT = Just In Time, i.e. the first time you use the code. On Mon, Sep 12, 2016 at 6:52 AM, MLicer wrote: > Indeed it does! I thought JIT compilation takes place prior to execution > of the script. Thanks so much, this makes sense now! > > Output: > first call: 0.804573

Re: [julia-users] Julia on Research Computing Podcast RCE

We've started a conversation with Brock to make sure that happens :) On Mon, Sep 12, 2016 at 5:03 AM, Mauro wrote: > RCE is a excellent podcast, would be cool the hear some core-devs > talking there. > > On Sun, 2016-09-11 at 02:29, Brock Palen

[julia-users] sending code to a Julia REPL running in Emacs/ansi-term

I have been using Emacs/ESS for Julia, but realized Gallium needs a more capable terminal. Julia runs fine inside ansi-term, but I would like to have ESS's convenient functionality of sending a line/region/definition to the REPL. Is this feasible somehow, with some clever hack of julia-mode

Re: [julia-users] Want to contribute to Julia

On Monday, September 12, 2016 at 8:26:47 PM UTC+5:30, rishu...@gmail.com wrote: > > Thanks for the help. Can you suggest me what should I learn to work in > Julia? I suppose python is good. >

Re: [julia-users] Want to contribute to Julia

Thanks for the help. Can you suggest me what should I learn to work in Julia?

Re: [julia-users] Does anyone know how jl_calls may have to do with SIGUSER1?

On Mon, Sep 12, 2016 at 10:40 AM, K leo wrote: > Thanks for the reply. > I registered a signal handler before calling these and the code now does > not terminate and appears to run fine. Will my handler cause problems to > the jl_calls? > You handler doesn't cause any

Re: [julia-users] Does anyone know how jl_calls may have to do with SIGUSER1?

Thanks for the reply. I registered a signal handler before calling these and the code now does not terminate and appears to run fine. Will my handler cause problems to the jl_calls? The documentation mentions about SIGUSER2 with the profiler BTW. On Monday, September 12, 2016 at 10:06:04 PM

Re: [julia-users] default type parameter?

On Mon, 2016-09-12 at 16:07, Yichao Yu wrote: > On Mon, Sep 12, 2016 at 9:52 AM, Neal Becker wrote: > >> Taking the following example: >> >> type Point{T<:Real} >> x::T >> y::T >> end >> >> I can construct a Point taking the type "T"

[julia-users] code design question – best ideomatic way to define nested types?

Hi, I am defining a set of types to hold scientific data, and trying to get the best out of Julia's type system. The types in my example are 'nested' in the sense that each type will hold progressively more information and thus allow the user to do progressively more. Like this: type Foo

Re: [julia-users] default type parameter?

On Mon, Sep 12, 2016 at 9:52 AM, Neal Becker wrote: > Taking the following example: > > type Point{T<:Real} > x::T > y::T > end > > I can construct a Point taking the type "T" from the argument types. > Or I can explicity specify the type > >

Re: [julia-users] Does anyone know how jl_calls may have to do with SIGUSER1?

On Mon, Sep 12, 2016 at 10:03 AM, K leo wrote: > I put the following lines in my C++ code. These are only executed once > near the beginning of the code > and run fine. There are no other julia related statements in the code. > But with the presence of these statements in the

[julia-users] Does anyone know how jl_calls may have to do with SIGUSER1?

I put the following lines in my C++ code. These are only executed once near the beginning of the code and run fine. There are no other julia related statements in the code. But with the presence of these statements in the code, whenever the code does some communications requests on the

[julia-users] default type parameter?

Taking the following example: type Point{T<:Real} x::T y::T end I can construct a Point taking the type "T" from the argument types. Or I can explicity specify the type Point{Int32}(2,2) But I'd like to be able to specify a default type: type Point{T<:Real=Int32} for

[julia-users] Re: How to deal with methods redefinition warnings in 0.5?

After calling workspace(), there are even a lot of warnings regarding methods in packages. On Monday, September 12, 2016 at 6:57:47 PM UTC+8, felip...@gmail.com wrote: > > Try calling workspace() before repeating include.

[julia-users] Julia for Data Science book recently released

*Julia for Data Science* by Zacharias Voulgaris, PhD, will show you how to use the Julia language to solve business critical data science challenges. After covering the importance of Julia to the data science community and several essential data science principles, we start with the basics

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

Steven G. Johnson wrote: > > > > On Monday, September 12, 2016 at 7:59:33 AM UTC-4, DNF wrote: >> >> function(p::pnseq)(n,T=Int64) >> >>> > Note that the real problem with this function declaration is that the type > T is known only at runtime, not at compile-time. It would be better to >

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

The code is not particularly long, but it seems like almost every type has its own module, which makes it harder to get an overview. A few of the composite types are defined with abstract types as fields, such as FNNyquistPulse. That is not optimal:

Re: [julia-users] Re: Problem with Plots/Compat on RC4

Josef is really responsive with GR issues... you should open issues when you find anything: https://github.com/jheinen/GR.jl/issues Sometimes it's hard to know if it's a problem with the Plots backend code or with GR itself, but we'll both see the issues. GR is pretty mature, but I agree it's

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

On Monday, September 12, 2016 at 7:59:33 AM UTC-4, DNF wrote: > > function(p::pnseq)(n,T=Int64) > >> Note that the real problem with this function declaration is that the type T is known only at runtime, not at compile-time. It would be better to do function (p::pnseq){T}(n,

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

Patrick Kofod Mogensen wrote: > This surprised me as well, where did you find this syntax? > > On Monday, September 12, 2016 at 1:59:33 PM UTC+2, DNF wrote: >> >> I haven't looked very closely at your code, but a brief look reveals that >> you are defining your functions in a very unusual way.

Re: [julia-users] Re: 1st try julia, 2/3 speed of python/c++

On Monday, September 12, 2016 at 8:07:55 AM UTC-4, Yichao Yu wrote: > > > > On Mon, Sep 12, 2016 at 8:03 AM, Patrick Kofod Mogensen < > patrick@gmail.com > wrote: > >> This surprised me as well, where did you find this syntax? >> > > Call overload. > (i.e. it's the new syntax for call

Re: [julia-users] Re: 1st try julia, 2/3 speed of python/c++

On Mon, Sep 12, 2016 at 8:03 AM, Patrick Kofod Mogensen < patrick.mogen...@gmail.com> wrote: > This surprised me as well, where did you find this syntax? > Call overload. > > > On Monday, September 12, 2016 at 1:59:33 PM UTC+2, DNF wrote: >> >> I haven't looked very closely at your code, but a

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

This surprised me as well, where did you find this syntax? On Monday, September 12, 2016 at 1:59:33 PM UTC+2, DNF wrote: > > I haven't looked very closely at your code, but a brief look reveals that > you are defining your functions in a very unusual way. Two examples: > > function

[julia-users] Re: 1st try julia, 2/3 speed of python/c++

I haven't looked very closely at your code, but a brief look reveals that you are defining your functions in a very unusual way. Two examples: function (f::FIRFilter)(x) return filt(f, x) end function(p::pnseq)(n,T=Int64) out = Array{T}(n) for i in eachindex(out) if p.count

Re: [julia-users] Re: Problem with Plots/Compat on RC4

I have not had much luck with the GR backend myself - it looks nice, but it has no antialiasing on linux yet and I can't close the plot window once it's open. I think it just needs time to mature some more. On Mon, 12 Sep 2016 at 12:31 DNF wrote: > Thanks. After deleting

[julia-users] 1st try julia, 2/3 speed of python/c++

As a first (nontrivial) try at julia, I put together some simple DSP code, which represents a pn generator (random fixed-width integer generator) constellation mapping interpolating FIR filter (from DSP.jl) decimating FIR filter (from DSP.jl) mean-square error measure Source code is here:

[julia-users] Re: Problem with Plots/Compat on RC4

Thanks. After deleting .julia/lib and restarting julia I get some warnings before the prompt shows up: WARNING: Method definition cgrad(Any, Any) in module PlotUtils at ~/.julia/ PlotUtils/src/color_gradients.jl:82 overwritten at ~/.julia/PlotUtils/src/ color_gradients.jl:99. WARNING: Method

[julia-users] Re: Problem with Plots/Compat on RC4

Oh and just to be a little clearer, that's ~/.julia/lib (the .julia folder in your home directory) and not the .../julia/lib folder in Applications. On Monday, 12 September 2016 12:12:08 UTC+1, Scott T wrote: > > Try removing .julia/lib (the precompile cache). I had this same issue and > this

[julia-users] Re: Problem with Plots/Compat on RC4

Try removing .julia/lib (the precompile cache). I had this same issue and this appears to have fixed it. On Monday, 12 September 2016 12:06:48 UTC+1, DNF wrote: > > After updating to RC4 (binary download) plotting completely stopped > working for me. > > julia> plot(rand(5)) > [Plots.jl]

[julia-users] Problem with Plots/Compat on RC4

After updating to RC4 (binary download) plotting completely stopped working for me. julia> plot(rand(5)) [Plots.jl] Initializing backend: gr INFO: Precompiling module GR. WARNING: Module Compat with uuid 169833921923513 is missing from the cache. This may mean module Compat does not support

[julia-users] How to deal with methods redefinition warnings in 0.5?

Try calling workspace() before repeating include.

[julia-users] Re: Julia Low Pass Filter much slower than identical code in Python ??

Indeed it does! I thought JIT compilation takes place prior to execution of the script. Thanks so much, this makes sense now! Output: first call: 0.804573 seconds (1.18 M allocations: 53.183 MB, 1.43% gc time) repeated call: 0.000472 seconds (217 allocations: 402.938 KB) Thanks again,

[julia-users] Re: Julia Low Pass Filter much slower than identical code in Python ??

The Julia code takes 0.000535 seconds for me on the second run -- during the first run, Julia has to compile the method you're timing. Have a look at the performance tips

Re: [julia-users] Julia on Research Computing Podcast RCE

RCE is a excellent podcast, would be cool the hear some core-devs talking there. On Sun, 2016-09-11 at 02:29, Brock Palen wrote: > I am one half of the HPC/Research Computing podcast http://www.rce-cast.com/ > > We would like to feature Julia on the show. This takes a

[julia-users] Re: PyPlot x(y)tick label fontsize

Excellent! Thanks so much! On Friday, September 9, 2016 at 5:45:26 PM UTC+2, Ralph Smith wrote: > > ax[:tick_params]("both",labelsize=24) > > See http://matplotlib.org/api/pyplot_api.html > for related functions and arguments. >

Re: [julia-users] Re: There is very little overhead calling Julia from C++

The jl_call test is 100 times smaller, so the timing there has to be multiplied by 100, resulting in 2.5 s for jl_call vs 0.1 s for ccall. I reduced the size to avoid having the test suite take to long. Op ma 12 sep. 2016 04:56 schreef K leo : > Sorry, how to tell from these