Julia version 1.0 was released on 08 Aug 2018. Julia was specifically designed for scientific and numerical computing. Although it is a flexible and dynamic language, it can achieve performance comparable to traditional statically-typed languages like C or Fortran. See The Julia Programming Language home page and read the Julia 1.0 release blog post for a general overview of the language.
On our cluster the latest Julia is installed under the shared network location
Starting an interactive julia session. To exit the interactive session, type CTRL-D or type exit().
$ /shared/opt/julia-1.0.0/bin/julia julia >
To obtain help type a ? at the Julia> prompt:
julia> ? help?> Welcome to Julia 1.0.0. The full manual is available at https://docs.julialang.org/ as well as many great tutorials and learning resources: https://julialang.org/learning/ For help on a specific function or macro, type ? followed by its name, e.g. ?cos, or ?@time, and press enter. Type ; to enter shell mode, ] to enter package mode. julia>
Try getting help on the cosine function by typing
?cos at the
Invoking the Julia package manager can be done in either of two ways:
julia> using Pkg julia> Pkg.status() Status `~/.julia/environments/v1.0/Project.toml` [c5f51814] CUDAdrv v0.8.5 [91a5bcdd] Plots v0.19.2 julia>
or by using the interactive command-line invoked by typing the
julia> ] (v1.0) pkg> status Status `~/.julia/environments/v1.0/Project.toml` [c5f51814] CUDAdrv v0.8.5 [91a5bcdd] Plots v0.19.2 (v1.0) pkg>
You should definately read the package manager documentation as this covers some of the useful features of Julia for repoducible research using Project and Manifest files.
The Julia Programming Language home page https://julialang.org
Julia documentation https://docs.julialang.org
Julia tutorials and learning resources https://julialang.org/learning/
The Julia Express 1.0 manual is available as a PDF document https://github.com/bkamins/The-Julia-Express
Cheat sheets and Tutorials: There is “The Fast Track to Julia” at https://juliadocs.github.io/Julia-Cheat-Sheet/ and a single page PDF sheet at https://github.com/stevengj/1806/blob/master/julia/Julia-cheatsheet.pdf. Note that both of these are for older Julia versions.
A list of all registered packages for the Julia programming language
“Julia Observer” https://juliaobserver.com is a web based package browsing tool for
This site https://github.com/svaksha/Julia.jl aggregates and curates Julia programming resources.