Julia: Difference between revisions
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[[Category:Software]][[Category: | [[Category:Software]][[Category:Language]][[Category:Programming]][[Category:Statistics]] | ||
{|<!--CONFIGURATION: REQUIRED--> | {|<!--CONFIGURATION: REQUIRED--> | ||
|{{#vardefine:app|julia}} | |{{#vardefine:app|julia}} | ||
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<!--Run--> | <!--Run--> | ||
{{#if: {{#var: exe}}|==Additional Information== | {{#if: {{#var: exe}}|==Additional Information== | ||
===Package Installation=== | |||
After loading the julia environment module you can add packages to your personal Julia environment with Pkg. E.g. | |||
$ module load julia | |||
$ julia | |||
$ | > using Pkg | ||
> Pkg.add("CSV") | |||
using Pkg | |||
Pkg.add(" | |||
===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 a successful installation. | |||
}} | |||
<!--PBS scripts--> | <!--PBS scripts--> | ||
{{#if: {{#var: pbs}}|==PBS Script Examples== | {{#if: {{#var: pbs}}|==PBS Script Examples== | ||
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Latest revision as of 20:49, 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 the julia environment module you can add packages to your personal Julia environment with Pkg. E.g.
$ 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 a successful installation.