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The Julia Language

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Julia is a high-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library.

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Pluto.jl
JuMP.jl
odow
odow commented Oct 3, 2020

Hi there!

This issue is a catch-all for documentation improvement suggestions. I'll keep it updated with things to work on, rather than having lots of separate issues.

  • If you have suggestions for things to add to the documentation, leave a comment below.
  • If you're looking to contribute to JuMP, picking something off this list is a great place to start!

General editing

The ea

Type: Documentation Status: Help Wanted good first issue
eatonphil
eatonphil commented Nov 17, 2021

Unlike all the existing charts that graph a string (most likely) against a number, this graphs numbers on both axises. So in addition to the configuration changes needed for passing the right field to chartjs, the PR for this should also change the "preferred type" to "number" for the x axis when the chart type is scatter plot.

enhancement good first issue
Makie.jl
asinghvi17
asinghvi17 commented May 10, 2022

As I understand, the LineString type allows the user to plot multiple disconnected lines in the same plot call. However, there is no documentation to reflect this. We should add some, and possibly consider adding documentation (in the docs of lines, surface, heatmap, etc.) about which types they accept. Possibly also a listing of convert_arguments signatures which are applicable to each

traversaro
traversaro commented Jan 23, 2022

If I run the copy&paste examples, such as https://mtk.sciml.ai/stable/tutorials/acausal_components/ :

using ModelingToolkit, Plots, DifferentialEquations

@variables t
@connector function Pin(;name)
    sts = @variables v(t)=1.0 i(t)=1.0 [connect = Flow]
    ODESystem(Equation[], t, sts, []; name=name)
end

function Ground(;name)
    @named g = Pin()
    eqs = [g.v ~ 0]
    
good first issue
jonathan-laurent
jonathan-laurent commented Sep 10, 2021

In order to profile and optimize the current inference server architecture and best tune its hyper-parameters for various applications, it would be very useful for AlphaZero.jl to have a mode where it outputs a debugging timeline in which it is possible to easily visualize when each worker submits an inference request, when it gets an answer, and when inference concretely runs on the GPU (along wi

help wanted good first issue
Red-Portal
Red-Portal commented Apr 27, 2022

Describe the bug

Matrix multiplications with UpperTriangular and LowerTriangular are outrageously slow.

using CUDA
using BenchmarkTools

julia> @benchmark U*U setup=(U=triu(CUDA.randn(1024, 1024)))
BenchmarkTools.Trial: 581 samples with 6 evaluations.
 Range (min … max):  5.993 μs … 148.436 ms  ┊ GC (min … max): 0.00%0.22%
 Time  (median):     6.445 μs             
enhancement good first issue cuda libraries

Created by Jeff Bezanson, Stefan Karpinski, Viral B. Shah, Alan Edelman

Released February 14, 2012

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JuliaLang
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julialang.org
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