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numba 0.9

Started bymark florisson <markflorisson88@gmail.com>
First post2013-06-04 11:53 +0100
Last post2013-06-04 11:53 +0100
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  numba 0.9 mark florisson <markflorisson88@gmail.com> - 2013-06-04 11:53 +0100

#973 — numba 0.9

Frommark florisson <markflorisson88@gmail.com>
Date2013-06-04 11:53 +0100
Subjectnumba 0.9
Message-ID<mailman.2792.1370513017.3114.python-announce-list@python.org>
Numba 0.9 adds support better math functions for all supported data
types (complex and floating). The release also comes with open-sourced
generalized ufunc support from numbapro. This allows users to write a
NumPy generalized ufunc directly in python and compile it with numba.
There is now also support for long double on all platforms. The
support comes with a new dependency on llvmmath. Array expressions and
their performance have also been improved.

Generalized ufuncs:
http://numba.pydata.org/numba-doc/0.9/arrays.html#generalized-ufuncs
Supported math functions:
https://github.com/ContinuumIO/llvmmath/blob/master/llvmmath/RequiredSymbols.txt

Download
========
http://numba.pydata.org/download.html

Website
=======
http://numba.pydata.org/

Documentation
============
http://numba.pydata.org/numba-doc/0.9/index.html

Numba
======
Numba is an just-in-time specializing compiler which compiles
annotated Python and NumPy code to LLVM (through decorators). Its goal
is to seamlessly integrate with the Python scientific software stack
and produce optimized native code, as well as integrate with native
foreign languages.

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