Difference between revisions of "Julia"
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After loading julia with <code>ml julia</code> in HPG, you can add packages to your personal Julia environment with Pkg. | After loading julia with <code>ml julia</code> in HPG, you can add packages to your personal Julia environment with Pkg. | ||
− | julia | + | $ module load julia |
− | + | $ julia | |
− | using Pkg | + | > using Pkg |
− | Pkg.add("CSV") | + | > Pkg.add("CSV") |
===Jupyter Kernel=== | ===Jupyter Kernel=== |
Revision as of 20:48, 21 October 2022
Description
Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. Julia’s Base library, largely written in Julia itself, also integrates mature, best-of-breed open source C and Fortran libraries for linear algebra, random number generation, signal processing, and string processing. In addition, the Julia developer community is contributing a number of external packages through Julia’s built-in package manager at a rapid pace. IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based graphical notebook interface to Julia.
Environment Modules
Run module spider julia
to find out what environment modules are available for this application.
System Variables
- HPC_JULIA_DIR - installation directory
- HPC_JULIA_BIN - executable directory
- HPC_JULIA_MAN - manual directory
Additional Information
Package Installation
After loading julia with ml julia
in HPG, you can add packages to your personal Julia environment with Pkg.
$ module load julia $ julia > using Pkg > Pkg.add("CSV")
Jupyter Kernel
To create a personal Julia Jupyter kernel load the julia environment module and add the 'IJulia' package. Pkg.add("IJulia")
The kernel should be visible in your new jupyterlab session after the installation.