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: http://docs.julialang.org/en/latest/manual/

       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

       -q, --quiet              Quiet startup without banner

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

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

       -E, --print <expr>       Evaluate and show <expr>

       -P, --post-boot <expr>   Evaluate <expr>, but don't disable interactive mode

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

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

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

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

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

       -i                       Force isinteractive() to be true

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

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

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

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

       --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

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

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

       --dump-bitcode={yes|no}  Dump bitcode for the system image (used with --build)

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

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

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

FILES

       ~/.juliarc.jl
              Per user startup file.

       /etc/julia/juliarc.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