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Julia

Julia

Install Julia

Install Julia with the juliaup installer.

Linux/MacOS 

curl -fsSL https://install.julialang.org | sh -s -- -y

Windows 

winget install julia -s msstore

Alternatively, download and install Julia official binaries.

Post-install configurations

Auto-activate local projects

Set environment variable JULIA_PROJECT=@. to let Julia automatically load the closest upstream Project.toml and activate the environment.

~/.profile
export JULIA_PROJECT=@.

Note

IJulia.jl, the Julia kernel for Jupyter notebooks, sets JULIA_PROJECT=@. by default. Thus, Jupyter notebooks load their local Julia environments automatically.

Warning

Loading local environments unconditionally is unsafe for untrusted sources, as shown in Nefarious.jl. That is why Julia does not run julia --project=@. by default.

Fully utilize CPU threads

Set environment variable JULIA_NUM_THREADS=auto to let Julia utilize all CPU threads.

~/.profile
export JULIA_NUM_THREADS=auto

Run Python packages

To run Python packages in Julia (such as matplotlib for PythonPlot.jl and jupyter for IJulia.jl)

  1. Install micromamba, the minimal Python package manager.
  2. Create a conda environment, for example, micromamba create -n juliapy jupyter matplotlib.
  3. Set up the following environment variables
~/.profile
export CONDA_JL_HOME="${HOME}/micromamba/envs/juliapy"
export JULIA_PYTHONCALL_EXE="${CONDA_JL_HOME}/bin/python"
export JULIA_CONDAPKG_BACKEND="Null"
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