Difference between revisions of "Julia"

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.

@@ Line 1: / Line 1: @@
-[[Category:Software]][[Category:Languages]]
+[[Category:Software]][[Category:Language]][[Category:Programming]][[Category:Statistics]]
 {|<!--CONFIGURATION: REQUIRED-->
 |{{#vardefine:app|julia}}
@@ Line 33: / Line 33: @@
 <!--Run-->
 {{#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.
-If you encounter an SSL certificate issue when installing a Julia package with Pkg you can work around the issue by adding an 'insecure'  line to the curl initialization file ~/.curlrc file. Do this if you trust the package source. E.g.
+ $ module load julia
+ $ julia
+ > using Pkg
+  > Pkg.add("CSV")
-  $ echo 'insecure' >> ~/.curlrc
+===Jupyter Kernel===
+  To create a personal Julia Jupyter kernel load the julia environment module and add the 'IJulia' package.
-Julia installs packages to your home directory. This means that all of the packages are manual self installs. Follow the basic Julia installation steps
+  Pkg.add("IJulia")
+The kernel should be visible in your new jupyterlab session after a successful installation.
- using Pkg
+}}
-  Pkg.add("name")
-|}}
 <!--PBS scripts-->
 {{#if: {{#var: pbs}}|==PBS Script Examples==
@@ Line 74: / Line 77: @@
 <!--Turn the Table of Contents and Edit paragraph links ON/OFF-->
 __NOTOC____NOEDITSECTION__
-=Validation=
-* Validate 4/5/2018