jkrumbiegel

using LinearAlgebra

"""
    outertangents(c1::Circle, c2::Circle) -> Vector{Tuple{Point2f, Point2f}}

Compute the outer tangent lines between two circles.
Returns a vector of two tuples, each containing two Point2f objects representing the endpoints of the outer tangent lines.
"""
function outertangents(c1, c2)
    # Extract centers and radii

jkrumbiegel

function tear_down!(tabgrid)
    for e in @view tabgrid.content[end:-1:begin]
        if e.content isa GridLayout
            tear_down!(e.content)
            Makie.GridLayoutBase.remove_from_gridlayout!(e)
        else
            delete!(e.content)
        end
    end
    trim!(tabgrid)

jkrumbiegel

mapping(
    ["X", "X", "X"],
    [1, 2, 3],
    dodge = ["A", "B", "C"],
    color = ["A", "B", "C"],
) * visual(BarPlot, direction = :x) +
    mapping(
    ["X", "X", "X"],
    [0.7, 1.5, 2.2],
    dodge = ["A", "B", "C"],

jkrumbiegel

mapping(
    ["X", "X", "X"],
    [1, 2, 3],
    dodge = ["A", "B", "C"],
    color = ["A", "B", "C"],
) * visual(BarPlot, direction = :x) +
    mapping(
        [0.7, 1.8, 2.2],
        ["X", "X", "X"],
        dodge_y = ["A", "B", "C"]

jkrumbiegel

using JSON
using Downloads
using Typst_jll
using Dates


url = "https://pretalx.com/juliacon-2025/schedule/export/schedule.json"

json = JSON.parsefile(Downloads.download(url))

jkrumbiegel

f = Figure()
ax1 = Axis(f[1, 1])
scatter!(randn(100) .- 1)
ax2 = Axis(f[1, 2])
scatter!(randn(100) .* 2)

on(ax1.finallimits) do lims
    aligned = 0
    (xmin, ymin), (xmax, ymax) = extrema(lims)
    dy1, dy2 = (ymin, ymax) .- aligned

jkrumbiegel

using CairoMakie
using CairoMakie.Colors

sz = (400, 300)
px_per_unit = 2
img = fill(ARGB32(1, 0, 0, 1), ((sz .* px_per_unit) .+ (200, 0))...)
surf = CairoMakie.Cairo.CairoImageSurface(img)

f = Figure(size = sz)
scatter(f[1, 1], cumsum(randn(100)))

jkrumbiegel

r1 = Rect2f((10, 20), (5, 8))
r2 = Rect2f((20, 30), (5, 8))

f, ax, _ = poly(r1)

linewidth = Observable(20)

r2_pixel = lift(ax.scene.camera.projectionview, ax.scene.viewport, linewidth) do _, _, lw
    mi, ma = extrema(r2)
    _mi = Makie.project(ax.scene, mi) .+ 0.5lw

jkrumbiegel

using LinearAlgebra: normalize

f = Figure()
ax1 = Axis(f[1, 1])
slope1 = 2
data1 = [1 0; slope1 1] * randn(2, 500)
scatter!(ax1, data1, alpha = 0.1)
ax2 = Axis(f[1, 2])
slope2 = -0.5
data2 = [1 0; slope2 1] * randn(2, 500)

jkrumbiegel

f = Figure()
main_ax = Axis(f[1, 1])
twin_ax_layout = GridLayout(f[1, 1, Right()])
twin_axis_pairs = map(1:3) do i
    data_axis = Axis(f[1, 1])
    label_axis = Axis(twin_ax_layout[1, i], width = 0, alignmode = Outside(), yaxisposition = :right)
    hidedecorations!(data_axis)
    hidespines!(data_axis)
    hidexdecorations!(label_axis)
    linkyaxes!(data_axis, label_axis)