Difference between revisions of "Julia"

Revision as of 20:47, 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 from HPG, you can add packages to your personal Julia environment with Pkg.

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.

@@ Line 33: / Line 33: @@
 <!--Run-->
 {{#if: {{#var: exe}}|==Additional Information==
+===Package Installation===
+After loading julia with <code>ml julia</code> from HPG, you can add packages to your personal Julia environment with Pkg.
-After loading julia with <code>ml julia</code> from HPG, you can add packages such as iJulia to create personal kernels with the following commands.
+  julia
-  [username@login3 ~]$julia
-  julia> using Pkg
+  using Pkg
-  julia> Pkg.add("IJulia")
+  Pkg.add("CSV")
-Launch a Jupyter session and you should be set!
-The directory that was created can be tested through commands such as:
- julia> using Pkg
- julia> Pkg.add("DataFrames")
- julia> Pkg.add("CSV")
- julia> Pkg.add("Plots")
+===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.
 }}
 <!--PBS scripts-->