Type inference for Python programming language
نویسندگان
چکیده
منابع مشابه
A Static Type Inference for Python
Dynamic languages, like Python, are attractive because they guarantee that no correct program is rejected prematurely. However, this comes at a price of losing early error detection, and making both code optimization and certification harder tasks when compared with static typed languages. Having the static certification of Python programs as a goal, we developed a static type inference system ...
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Modern computing environments strive to be robust and reliable, and at the same time, aim at providing enough exibility to an interactive user to edit, debug, and test programs easily and e ciently. Strongly typed languages satisfactorily meet the former goal by guaranteeing that \type-consistent" programs will not incur run-time type-errors. But most programming environments for such languages...
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ژورنال
عنوان ژورنال: Proceedings of the Institute for System Programming of RAS
سال: 2013
ISSN: 2079-8156,2220-6426
DOI: 10.15514/ispras-2013-24-9