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| author | B. Watson <yalhcru@gmail.com> | 2016-11-14 14:31:22 -0500 |
|---|---|---|
| committer | Willy Sudiarto Raharjo <willysr@slackbuilds.org> | 2016-11-15 21:41:38 +0700 |
| commit | 3b6650c9080f373e8299865e9a4a2dd9b1eb573f (patch) | |
| tree | 3a8950d361c8e71f616b381192b86163716960ac /development | |
| parent | b73a5e3c79816918f7e285aae088574dfdf54a0a (diff) | |
| download | slackbuilds-3b6650c9080f373e8299865e9a4a2dd9b1eb573f.tar.gz | |
development/julia: Fix README.
Diffstat (limited to 'development')
| -rw-r--r-- | development/julia/README | 38 |
1 files changed, 23 insertions, 15 deletions
diff --git a/development/julia/README b/development/julia/README index da9edfb00c..c7b459a760 100644 --- a/development/julia/README +++ b/development/julia/README @@ -1,23 +1,29 @@ -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. +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. +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. +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. -IJulia, a collaboration between the IPython and Julia communities, provides a powerful browser-based -graphical notebook interface to Julia. +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. +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 + * 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 @@ -28,7 +34,9 @@ A Summary of Features: * 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 + * 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 |