NAME

       julia - high-level, high-performance dynamic programming language for technical computing

SYNOPSIS

       julia [option] [program] [args..]

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.  The library,  largely
       written in Julia itself, also integrates mature, best-of-breed 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.  Julia  programs  are  organized
       around  multiple  dispatch;  by  defining  functions  and  overloading  them for different
       combinations of argument types, which can also  be  user-defined.   For  a  more  in-depth
       discussion  of  the  rationale  and advantages of Julia over other systems, please see the
       online manual: https://docs.julialang.org

       If a Julia source file is given as a program (optionally followed by
        arguments in args) Julia will execute the program and exit.

COMMAND-LINE OPTIONS

       -v, --version
              Display version information

       -h, --help
              Print help message

       --project[=<dir>/@.]
              Set <dir> as the home  project/environment.  The  default  @.  option  will  search
              through parent directories until a Project.toml or JuliaProject.toml file is found.

       -J, --sysimage <file>
              Start up with the given system image file

       --sysimage-native-code={yes|no}
              Use precompiled code from system image if available

       -H, --home <dir>
              Set location of julia executable

       --startup-file={yes|no}
              Load ~/.julia/config/startup.jl

       --handle-signals={yes|no}
              Enable or disable Julia's default signal handlers

       -e, --eval <expr>
              Evaluate <expr>

       -E, --print <expr>
              Evaluate <expr> and display the result

       -L, --load <file>
              Load <file> immediately on all processors

       -t, --threads <n>
              Enable n threads

       -p, --procs <n>
              Run n local processes

       --machine-file <file>
              Run processes on hosts listed in <file>

       -i     Interactive mode; REPL runs and isinteractive() is true

       --banner={yes|no|auto}
              Enable or disable startup banner

       --color={yes|no|auto}
              Enable or disable color text

       --history-file={yes|no}
              Load or save history

       --compile={yes|no|all}
              Enable or disable compiler, or request exhaustive compilation

       -C, --cpu-target=<target>
              Limit usage of cpu features up to <target>

       -O, --optimize
              Run time-intensive code optimizations

       -O <n>, --optimize=<n>
              Set the optimization level to <n>

       -g     Enable generation of full debug info

       -g <n> Set the level of debug info generation to <n>

       --inline={yes|no}
              Control whether inlining is permitted (overrides functions declared as @inline)

       --check-bounds={yes|no}
              Emit bounds checks always or never (ignoring declarations)

       --math-mode={ieee|user}
              Always   use  IEEE  semantics  for  math  (ignoring  declarations),  or  adhere  to
              declarations in source code

       --depwarn={yes|no|error}
              Enable or disable syntax and method deprecation warnings  ('error'  turns  warnings
              into errors)

       --warn-overwrite={yes|no}
              Enable or disable method overwrite warnings

       --output-o <name>
              Generate an object file (including system image data)

       --output-ji <name>
              Generate a system image data file (.ji)

       --output-bc <name>
              Generate LLVM bitcode (.bc)

       --output-incremental={yes|no}
              Generate an incremental output file (rather than complete)

       --code-coverage={none|user|all}, --code-coverage
              Count executions of source lines (omitting setting is equivalent to 'user')

       --track-allocation={none|user|all}, --track-allocation
              Count bytes allocated by each source line

FILES

       ~/.julia/config/startup.jl
              Per user startup file.

       /etc/julia/startup.jl
              System-wide startup file.

BUGS

       Please      report      any      bugs      using     the     GitHub     issue     tracker:
       https://github.com/julialang/julia/issues?state=open

AUTHORS

       Contributors: https://github.com/JuliaLang/julia/graphs/contributors