Author: edelsohn Branch: extradoc Changeset: r3984:b91e6cab9b06 Date: 2011-12-12 15:58 -0500 http://bitbucket.org/pypy/extradoc/changeset/b91e6cab9b06/
Log: Improve language in abstract. diff --git a/talk/sea2012/abstract.rst b/talk/sea2012/abstract.rst --- a/talk/sea2012/abstract.rst +++ b/talk/sea2012/abstract.rst @@ -1,16 +1,17 @@ Fast numeric in Python - NumPy and PyPy ======================================= -Python has seen a growing adoption as a new scientific processing language -in the past few years. It has been successfully used as a glue language -to drive various simulations implemented in either C, Fortran or the array -manipulation language implemented in the NumPy package. Originally the main -reason why Python was used only as a glue language is because the original -Python implementation is relatively slow. With the recent progress in the PyPy -project, it has been shown that while still not at C speeds, it has been -gaining significant performance improvements the releases, bringing it -closer and closer to C-level speeds. In this talk I would like to explore -how to use it right now, in the near future and our plans to provide a very -robust infrastructure for implementing numerical computations. I will also -spend some time exploring the ideas how dynamic compilation can eventually -outperform static compilation and how having a high-level language helps here. +Python increasingly is being utilized as a powerful scientific +processing language. It successfully has been used as a glue language +to drive simulations written in C, Fortran or the array +manipulation language provided by the NumPy package. Originally +Python only was used as a glue language because the original Python +implementation was relatively slow. With the recent progress in the +PyPy project that is showing significant performance +improvements in each release, Python is nearing performance comparable +to native C language implementations. In this talk I will +describe three stages: how to use it right now, in the near future and +our plans to provide a very robust infrastructure for implementing +numerical computations. I also will spend some time exploring ideas +how dynamic compilation eventually can outperform static compilation +and how a high-level language helps accomplish this. _______________________________________________ pypy-commit mailing list [email protected] http://mail.python.org/mailman/listinfo/pypy-commit
