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With Jupyter notebook.

using Plots
using Random
Plots.default(fmt=:png)
Random.seed!(2024)
Random.TaskLocalRNG()
plot(1:5, rand(1:6, 5))
Plot{Plots.GRBackend() n=1}

Runtime information

using InteractiveUtils
InteractiveUtils.versioninfo()
Julia Version 1.12.3
Commit 966d0af0fdf (2025-12-15 11:20 UTC)
Build Info:
  Official https://julialang.org release
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 4 × AMD EPYC 7763 64-Core Processor
  WORD_SIZE: 64
  LLVM: libLLVM-18.1.7 (ORCJIT, znver3)
  GC: Built with stock GC
Threads: 4 default, 1 interactive, 4 GC (on 4 virtual cores)
Environment:
  JULIA_CPU_TARGET = generic;icelake-server,clone_all;znver3,clone_all
  JULIA_CONDAPKG_OFFLINE = true
  JULIA_CONDAPKG_BACKEND = Null
  JULIA_CI = true
  LD_LIBRARY_PATH = /opt/hostedtoolcache/Python/3.14.2/x64/lib
  JULIA_NUM_THREADS = auto
import Pkg
Pkg.status()
Status `~/work/template-juliabook-matrix/template-juliabook-matrix/Project.toml`
  [682c06a0] JSON v1.3.0
  [98b081ad] Literate v2.21.0
  [91a5bcdd] Plots v1.41.3
  [274fc56d] PythonPlot v1.0.6

This notebook was generated using Literate.jl.