PyPy: Difference between revisions
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{{implementation|Python}} |
{{implementation|Python}} |
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A compliant implementation of the [[Python]] language written in a restricted subset of [[Python]] which can be run in another [[Python]] interpreter or translated to C and compiled for fast execution. |
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PyPy's Mission Statement is to provide: |
PyPy's Mission Statement is to provide: |
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* a common translation and support framework for producing implementations of dynamic languages, emphasising a clean separation between language specification and implementation aspects. |
* a common translation and support framework for producing implementations of dynamic languages, emphasising a clean separation between language specification and implementation aspects. |
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* a compliant, flexible and fast implementation of the Python Language using the above framework to enable new advanced features without having to encode low level details into it.<ref>http://codespeak.net/pypy/dist/pypy/doc/architecture.html#mission-statement</ref> |
* a compliant, flexible and fast implementation of the Python Language using the above framework to enable new advanced features without having to encode low level details into it.<ref>http://codespeak.net/pypy/dist/pypy/doc/architecture.html#mission-statement</ref> |
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==External Links== |
==External Links== |
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* [http://codespeak.net/pypy/dist/pypy/doc/news.html PyPy official site] |
* [http://codespeak.net/pypy/dist/pypy/doc/news.html PyPy official site] |
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* [https://codespeak.net/viewvc/pypy/lang/ Browse source of other Virtual Machines implemented on PyPy's framework] |
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==References== |
==References== |
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Latest revision as of 22:22, 17 January 2011
PyPy is an implementation of Python.
Other implementations of Python.
A compliant implementation of the Python language written in a restricted subset of Python which can be run in another Python interpreter or translated to C and compiled for fast execution.
PyPy's Mission Statement is to provide:
- a common translation and support framework for producing implementations of dynamic languages, emphasising a clean separation between language specification and implementation aspects.
- a compliant, flexible and fast implementation of the Python Language using the above framework to enable new advanced features without having to encode low level details into it.[1]