Julia is a high-level, high-performance programming language designed for numerical computing and scientific applications. It combines the ease of use of languages like Python with the speed of compiled languages like C. Julia features just-in-time (JIT) compilation, making it highly efficient for mathematical operations, data analysis, and machine learning. It supports multiple dispatch, parallel computing, and seamless integration with Python, C, and Fortran.
For specific installation instructions, see the Julia Downloads Page. Generic installs can be done via
curl -fsSL https://install.julialang.org | sh
according to their manual.
Arch Linux
According to the Julia Arch Wiki Page we can install juliaup, the Julia version manager, from the AUR
yay -S juliaup
After the installation, run
julia
This will install the latest julia version available in juliaup. It is not necessary to add to PATH.
Here is a list on workarounds for known bugs.
As of Feb 23 2025, there is a problem that throws the following error when installing from juliaup from the AUR.
Installing Julia 1.11.3+0.x64.linux.gnu
ERROR: Unable to load dependent library /home/frieren/.julia/juliaup/julia-1.11.3+0.x64.linux.gnu/bin/../lib/julia/libopenlibm.so
Message:/home/frieren/.julia/juliaup/julia-1.11.3+0.x64.linux.gnu/bin/../lib/julia/libopenlibm.so: cannot enable executable stack as shared object requires: Invalid argument
This was first posted in the discourse and then generated an issue on the Julia repo.
To solve temporarily this problem, install
yay -S execstack
and run
execstack -c ~/.julia/juliaup/julia-1.11.3+0.x64.linux.gnu/lib/julia/libopenlibm.so