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Man Pages
JULIA(1) Julia Programmers' Reference Guide JULIA(1)

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

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

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

--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|min}
Enable or disable compiler, or request exhaustive or minimal 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>

--min-optlevel=<n>
Set the minimum optimization level to <n>, overriding per-module settings

-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|auto}
Emit bounds checks always, never, or respect @inbounds 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
2013-12-10 Julia

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