Difference between revisions of "Julia"

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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.
 
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
 
   
 
   
  using Pkg
+
  julia> using Pkg
  Pkg.add("IJulia")
+
  julia> Pkg.add("IJulia")
  
 
The directory that was created can be tested through commands such as:
 
The directory that was created can be tested through commands such as:
  
  using Pkg
+
  julia> using Pkg
  Pkg.add("DataFrames")
+
  julia> Pkg.add("DataFrames")
  Pkg.add("CSV")
+
  julia> Pkg.add("CSV")
  Pkg.add("Plots")
+
  julia> Pkg.add("Plots")
  
 
Launch a Jupyter session and you should be set!
 
Launch a Jupyter session and you should be set!

Revision as of 20:46, 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

After loading julia with ml julia from HPG, you can add packages such as iJulia to create personal kernels with the following commands.

[username@login3 ~]$julia

julia> using Pkg
julia> Pkg.add("IJulia")

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")

Launch a Jupyter session and you should be set!