_
   _       _ _(_)_     |
  (_)     | (_) (_)    |   A fresh approach to technical computing
   _ _   _| |_  __ _   |
  | | | | | | |/ _` |  |          http://julialang.org
  | | |_| | | | (_| |  |       julia-dev@googlegroups.com
 _/ |\__'_|_|_|\__'_|  |           #julia on freenode
|__/                   |

Julia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below.

• Homepage: http://julialang.org
• Mailing list: http://groups.google.com/group/julia-dev/
• IRC: http://webchat.freenode.net/?channels=julia
• Source code: https://github.com/JuliaLang/julia
• Git clone URL: git://github.com/JuliaLang/julia.git
• Documentation: http://julialang.org/manual/

git clone git://github.com/JuliaLang/julia.git

Next, enter the julia/ directory and run make to build the julia executable. To perform a parallel build, use make -j N and supply the maximum number of concurrent processes. When compiled the first time, it will automatically download and build its external dependencies. This takes a while, but only has to be done once. Building julia requires 1.5GiB of diskspace and approximately 700MiB of virtual memory.

Note: the build process will not work if any of the build directory's parent directories have spaces in their names (this is due to a limitation in GNU make).

Once it is built, you can either run the julia executable using its full path in the directory created above, or add that directory to your executable path so that you can run the julia program from anywhere:

export PATH="$(pwd)/julia:$PATH"

Now you should be able to run julia like this:

julia

If everything works correctly, you will see a Julia banner and an interactive prompt into which you can enter expressions for evaluation. You can read about getting started in the manual.

On some Linux distributions you may need to change how the readline library is linked. If you get a build error involving readline, try changing the value of USE_SYSTEM_READLINE in Make.inc to 1.

On Ubuntu systems, You may also need to install the package libncurses5-dev.

You may need to install gfortran. Either download and install gfortran from hpc.sf.net, or 64-bit gfortran from gcc.gnu.org.

If you get link errors mentioning gfortran, it might help to put /usr/local/gfortran/lib at the beginning of the DYLD_LIBRARY_PATH environment variable.

The prerequisites can be installed from ports like this:

cd /usr/ports/devel/gmake
make install

cd /usr/ports/ftp/curl
make install

cd /usr/ports/devel/libunwind
make install

cd /usr/ports/lang/gcc45
make install
ln -s /usr/local/bin/gfortran45 /usr/local/bin/gfortran

Other versions of gcc are also exist but currently gfortran45 is the one used by all the ports that depend on Fortran.

Use the gmake command on FreeBSD instead of make

To use the Intel MKL BLAS & LAPACK libraries, edit the following settings in Make.inc:

USE_MKL = 1
MKLLIB = /path/to/mkl/lib/arch

MKLLIB points to the directory containing libmkl_rt.so. Requires v10.3 or greater. To rebuild a pre-built Julia source install with MKL support, delete from deps/, the OpenBLAS, ARPACK, and SuiteSparse dependencies, then run make cleanall testall.

• GNU make — building dependencies.
• gcc, g++, gfortran — compiling and linking C, C++ and Fortran code.
• git — contributions and version control.
• perl — preprocessing of header files of libraries.
• wget or curl — to automatically download external libraries (Linux defaults to wget, OS X and FreeBSD to curl).
• m4 — needed to build GMP.

Julia uses the following external libraries, which are automatically downloaded (or in a few cases, included in the Julia source repository) and then compiled from source the first time you run make:

• LLVM — compiler infrastructure. Currently, julia requires LLVM 3.0.
• FemtoLisp — packaged with julia source, and used to implement the compiler front-end.
• GNU readline — library allowing shell-like line editing in the terminal, with history and familiar key bindings.
• fdlibm — a portable implementation of much of the system-dependent libm math library's functionality.
• MT — a fast Mersenne Twister pseudorandom number generator library.
• OpenBLAS — a fast, open, and maintained basic linear algebra subprograms (BLAS) library, based on Kazushige Goto's famous GotoBLAS.
• LAPACK — a library of linear algebra routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems.
• MKL (optional) – OpenBLAS & LAPACK may be replaced by Intel's MKL library.
• AMOS — subroutines for computing Bessel and Airy functions.
• SuiteSparse — a library of linear algebra routines for sparse matrices.
• ARPACK — a collection of subroutines designed to solve large, sparse eigenvalue problems.
• FFTW — library for computing fast Fourier transforms very quickly and efficiently.
• PCRE — Perl-compatible regular expressions library.
• GMP — the GNU multiple precision arithmetic library, needed for bigint support.
• D3 — JavaScript visualization library.
• double-conversion — efficient number-to-text conversion.
• GLPK - linear programming.
• Rmath - basic RNGs and distributions.

base/          source code for Julia's standard library
contrib/       emacs, vim and textmate support for Julia
deps/          external dependencies
examples/      example Julia programs
extras/        useful optional libraries
lib/           shared libraries loaded by Julia's standard libraries
src/           source for Julia language core
test/          unit and functional test cases
ui/            source for various front ends

Because of the rapid pace of development at this point, we recommend installing the latest Julia from source, but platform-specific tarballs with pre-compiled binaries are also available for download. To install from source, download the appropriate tarball and untar it somewhere. For example, if you are on an OS X (Darwin) x86/64 system, do the following:

wget https://github.com/downloads/JuliaLang/julia/julia-c4865bd18d-Darwin-i386.tar.gz
tar zxvf julia-c4865bd18d-Darwin-i386.tar.gz

You can either run the julia executable using its full path in the directory created above, or add that directory to your executable path so that you can run the julia program from anywhere:

export PATH="$(pwd)/julia:$PATH"

Now you should be able to run julia like this:

julia

If everything works correctly, you will see a Julia banner and an interactive prompt into which you can enter expressions for evaluation. You can read about getting started in the manual.

An Arch Linux package is also available.

Currently, julia editing mode support is available for Emacs, Vim, and Textmate.

Adjusting your terminal bindings is optional; everything will work fine without these key bindings. For the best interactive session experience, however, make sure that your terminal emulator (Terminal, iTerm, xterm, etc.) sends the ^H sequence for Backspace (delete key) and that the Shift-Enter key combination sends a \n newline character to distinguish it from just pressing Enter, which sends a \r carriage return character. These bindings allow custom readline handlers to trap and correctly deal with these key sequences; other programs will continue behave normally with these bindings. The first binding makes backspacing through text in the interactive session behave more intuitively. The second binding allows Shift-Enter to insert a newline without evaluating the current expression, even when the current expression is complete. (Pressing an unmodified Enter inserts a newline if the current expression is incomplete, evaluates the expression if it is complete, or shows an error if the syntax is irrecoverably invalid.)

On Linux systems, the Shift-Enter binding can be set by placing the following line in the file .xmodmaprc in your home directory:

keysym Return = Return Linefeed