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 website  

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.