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| author | Arun Mascarenhas <arunmascarenhas@yahoo.com> | 2016-10-20 22:34:01 +0700 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2016-10-20 22:34:01 +0700 |
| commit | 7ea398150697b28e3e7335dc843cd378267f11ba (patch) | |
| tree | e93053cd82c1edb3dfc0a98a04f882271056a11f /development/julia/README | |
| parent | 214503e2d39623b1192f402d049b6544ff8d8b48 (diff) | |
development/julia: Updated for version 0.4.7.
Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>
Diffstat (limited to 'development/julia/README')
| -rw-r--r-- | development/julia/README | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/development/julia/README b/development/julia/README index 9722cf439b14..da9edfb00c3c 100644 --- a/development/julia/README +++ b/development/julia/README @@ -1,7 +1,34 @@ 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. + +IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based +graphical notebook interface to Julia. + +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. + +A Summary of Features: + + * Multiple dispatch: providing ability to define function behavior across many combinations of argument types + * Dynamic type system: types for documentation, optimization, and dispatch + * Good performance, approaching that of statically-compiled languages like C + * Built-in package manager + * Lisp-like macros and other metaprogramming facilities + * Call Python functions: use the PyCall package + * Call C functions directly: no wrappers or special APIs + * Powerful shell-like capabilities for managing other processes + * Designed for parallelism and distributed computation + * Coroutines: lightweight "green" threading + * User-defined types are as fast and compact as built-ins + * Automatic generation of efficient, specialized code for different argument types + * Elegant and extensible conversions and promotions for numeric and other types + * Efficient support for Unicode, including but not limited to UTF-8 + * MIT licensed: free and open source |