julia man page

• Start a Julia REPL session:

julia

• Execute a Julia program and exit:

julia program.jl

• Execute a Julia program that takes arguments:

julia program.jl arguments

• Evaluate a string containing Julia code:

julia -e 'julia_code'

• Evaluate a string of Julia code, passing arguments to it:

julia -e 'for x in ARGS; println(x); end' arguments

• Start Julia in parallel mode, using N worker processes:

julia -p N

tldr.sh

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

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/en/latest/

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

-v, --version

Display version information

-h, --help

Print help message

-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

-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

~/.julia/config/startup.jl

Per user startup file.

/etc/julia/startup.jl

System-wide startup file.

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

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