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(_) | (_) (_) | A fresh approach to technical computing
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| | | | | | |/ _` | | http:https://julialang.org
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Julia is a very high level dynamic language for numerical and scientific computing with optional typing, multiple dispatch, and good performance, achieved by using type inference and just-in-time (JIT) compilation, implemented using LLVM. The language is multi-paradigm, combining features of functional, object-oriented, and imperative styles. For a more in-depth discussion of the rationale and advantages of Julia over other systems, see the Introduction in the wiki, or browse all of the wiki documentation.
## Resources- Homepage: http:https://julialang.org
- Download: https://github.com/JuliaLang/julia
- Documentation: https://github.com/JuliaLang/julia/wiki
- Discussion: [email protected]
- GNU make — building dependencies.
- gcc, g++, gfortran — compiling and linking C, C++ and Fortran code.
- curl — to automatically download external libraries:
- fdlibm — a portable implementation of much of the system-dependent libm math library's functionality.
- OpenBLAS — a fast, open, and maintained basic linear algebar subprograms (BLAS) library, based on Kazushige Goto's famous GotoBLAS.
- LAPACK — 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.
- ARPACK — a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
- PCRE — Perl-compatible regular expressions library.
- GNU readline — library allowing shell-like line editing in the terminal, with history and familiar key bindings.
- mongoose — library for writing simple web servers, used for Julia's web-based repl.
- GNU/Linux: x86 (32-bit); x86/64 (64-bit).
- OS X: x86/64 (64-bit); x86 (32-bit) is untested but should work.
- Run
makein the top-level directory to build julia. It will automatically download and build its external dependencies, when compiled the first time (this takes a while).
No installation is required — julia is currently run from the directory where it was built.
You might want to make a symbolic link for the executable, for example ln -s JULIA_PATH/julia ~/bin/julia.
attic/ old, now-unused code
contrib/ emacs and textmate support for julia
doc/ miscellaneous documentation and notes
external/ external dependencies
j/ source code for julia's standard library
lib/ shared libraries loaded by julia's standard libraries
src/ source for julia language core
test/ unit and function tests for julia itself
ui/ source for various frontends
Add the following line to ~/.emacs
(require 'julia-mode "JULIA_PATH/contrib/julia-mode.el")
where JULIA_PATH is the location of the top-level julia directory.
Copy (or symlink) the TextMate Julia bundle into the TextMate application support directory:
cp -r JULIA_PATH/contrib/Julia.tmbundle ~/Library/Application\ Support/TextMate/Bundles/
where JULIA_PATH is the location of the top-level julia directory.
Now select from the menu in TextMate Bundles > Bundle Editor > Reload Bundles.
Julia should appear as a file type and be automatically detected for files with the .j extension.