Numba 0.10 has some new interesting features, thanks to some new
contributors. In short, it has a code annotation tool, builtins min,
max, enumerate and zip, a parallel range (open sourced from numbapro)
and support for the raise statement. Many thanks to Eugene Toder, Jay
Bourque and Björn Linse.
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 su
Numba 0.8 adds support for autojit classes and methods, building on
the perfect hash table ideas from SEP 201 [1]. This allows methods to
automatically specialize to argument types and instance attribute
types.
Many thanks to Dag Sverre Seljebotn for his work and ideas on the SEPs
and his ideas and
Numba 0.7.2 is a bugfix release which brings various bug fixes
(https://github.com/numba/numba/issues?milestone=7&state=closed), as
well as full Python 3 compatibility thanks to Hernan Grecco. We now
officially support Python 3.2 and 3.3. The release also adds
intrinsics and instructions, which all
Numba 0.7.1 is a bugfix release which brings bug fixes such as the
array slicing bug, but it also brings us closer to Python 3
compatibility thanks to Hernan Grecco. The release also brings the
'numba.random' package, thanks to Travis Oliphant. It allows you to
use fast random number generators fro
ed to this release!
Dan Christensen
Ilan Schnell
Jon Riehl
Lars Buitinck
Mark Florisson
Phillip Cloud
Siu Kwan Lam
Travis E. Oliphant
Timo
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On behalf of the numba team I am pleased to announce a new version of
Numba, 0.5. The release includes several new features that make Numba
code more Pythonic, as well as many bug fixes and improved
documentation.
Download: http://pypi.python.org/pypi/numba/0.5.0
Documentation: http://numba.pydata
We are pleased to announce a new version of Cython, 0.16
(http://cython.org/release/Cython-0.16.tar.gz). It comes with new
features, improvements and bug fixes, including
- super() without arguments
- fused types
- memoryviews
- more Python-like functions
Many thanks to the many c
