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42 lines
1.9 KiB
Text
42 lines
1.9 KiB
Text
Julia is a high-level, high-performance dynamic programming language
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for technical computing with syntax that is familiar to users of other
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technical computing environments.
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It provides a sophisticated compiler, distributed parallel execution,
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numerical accuracy, and an extensive mathematical function library.
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The library, largely written in Julia itself, also integrates mature,
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best-of-breed C and Fortran libraries for linear algebra, random number
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generation, signal processing, and string processing.
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In addition, the Julia developer community is contributing a number
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of external packages through Julia's built-in package manager at a
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rapid pace.
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IJulia, a collaboration between the IPython and Julia communities,
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provides a powerful browser-based graphical notebook interface to Julia.
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Julia programs are organized around multiple dispatch; by defining
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functions and overloading them for different combinations of argument
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types, which can also be user-defined.
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A Summary of Features:
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* Multiple dispatch: providing ability to define function behavior across
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many combinations of argument types
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* Dynamic type system: types for documentation, optimization, and dispatch
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* Good performance, approaching that of statically-compiled languages like C
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* Built-in package manager
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* Lisp-like macros and other metaprogramming facilities
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* Call Python functions: use the PyCall package
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* Call C functions directly: no wrappers or special APIs
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* Powerful shell-like capabilities for managing other processes
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* Designed for parallelism and distributed computation
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* Coroutines: lightweight "green" threading
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* User-defined types are as fast and compact as built-ins
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* Automatic generation of efficient, specialized code for different
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argument types
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* Elegant and extensible conversions and promotions for numeric and
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other types
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* Efficient support for Unicode, including but not limited to UTF-8
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* MIT licensed: free and open source
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