The Julia Language

After a discussion in IRC today I realised that there were a few things about parametric types that aren't easily understood. It seems that the manual could help a bit more in introducing parametric types. I'm opening this issue to outline some of the things I think could be documented better, and also to gather ideas or examples that might help to write a more hands-on parametric types section in

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

A Union{}[] vector shows fine when Tables isn't loaded, but after loading that package additional pluto_showable methods are defined which cause a method ambiguity error.

Julia 1.7 and Pluto 0.17.5.

Error message:

<img width="736" alt="Schermafbeelding 20

A common request when teaching LP101-type classes is for sensitivity reports similar to Excel solver.

Here is a suggestion from someone who teaches these types of classes:

It would be nice to support adding arrow annotations to plots, similar to pyplot.arrow (from #245).

@piever @kimlaberinto

Compare https://github.com/JuliaPlots/Makie.jl/blob/master/src/stats/boxplot.jl#L31-L64 with http://makie.juliaplots.org/stable/plotting_functions/boxplot.html#Makie.boxplot
This should be a good beginner issue :)

I found that function mod2pi is not implemented yet, but mod works. Is there any list of implemented functions? Minimal working example is:

using Zygote

# This is working
gradient(x -> mod(x, 2pi), 1.)

# This is not
gradient(x -> mod2pi(x), 1.)

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.

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

In Exercises 10.1, the outer product in Take the outer product of a vector v with itself and assign it to variable cross_v should be cross product.

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]