[pypy-svn] r3695 - pypy/trunk/doc/funding/negotiations

hpk at codespeak.net hpk at codespeak.net
Fri Apr 2 09:12:10 CEST 2004

Author: hpk
Date: Fri Apr  2 09:12:09 2004
New Revision: 3695

changed the free keywords of A1 (general)
... see the diff ... 

Modified: pypy/trunk/doc/funding/negotiations/IST-2-004779-STP.cpf
--- pypy/trunk/doc/funding/negotiations/IST-2-004779-STP.cpf	(original)
+++ pypy/trunk/doc/funding/negotiations/IST-2-004779-STP.cpf	Fri Apr  2 09:12:09 2004
@@ -97,7 +97,7 @@
         <keyword_1>Computer technology</keyword_1>
-        <free_keywords>Python Programming Platform Interpreter Compiler Jit Open source Compilers</free_keywords>
+        <free_keywords>Research language platform interpreter compiler JIT open source python</free_keywords>
         <abstract>Main goalsThe project will research and implement a flexible, configurable and performant version of Python, a popular Free/Open Source programming language. Much anecdotal, and some empirical, evidence suggests that Python is one of the easiest programming languages to learn and is one of the languages in which one can code up a given algorithm the fastest.  The project aims to bring this highly productive language to a wider range of platforms and devices by providing simple means to build a highly customized language version.The approach The project will achieve its goals principally by leveraging excellent research and the strengths of Open Source developer communities. In particular, it will explore and refine Sprint Driven Development, an agile rapid development method pioneered by Python communities in Europe. Sprints accelerate an already productive open development process by intensifying communication and feedback cycles for programmers and researchers. This process will also involve an existing non-profit organisation of Python firms to bind business communities into research and implementation of a unique runtime environment.  Technically, the project will refine and implement innovative approaches to language implementation, based on object spaces and abstract interpretation.Concrete resultsThe new Python will maintain the semantics of the current implementation but will be more portable, more easily customised and extended, more efficient, and it will cover more programming paradigms in a way that respects the simplicity of the underlying language. In addition, the project will document and refine existing open source development models in the Python community. Although targetted principally at Python, most of the research results will be applicable to other high level languages.</abstract>

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