Hi, I am pleased to announce the availability of NumPy 1.5.1.
NumPy is the fundamental package needed for scientific computing with Python. It contains: * a powerful N-dimensional array object * sophisticated (broadcasting) functions * basic linear algebra functions * basic Fourier transforms * sophisticated random number capabilities * tools for integrating Fortran code. Besides it's obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide-variety of databases. This bug-fix release comes almost 3 months after the 1.5.0 release, it contains no new features compared to 1.5.0. Binaries, sources and release notes can be found at https://sourceforge.net/projects/numpy/files/. Thank you to everyone who contributed to this release. Enjoy, The numpy developers. ========================= NumPy 1.5.1 Release Notes ========================= Numpy 1.5.1 is a bug-fix release with no new features compared to 1.5.0. Numpy source code location changed ============================== ==== Numpy has stopped using SVN as the version control system, and moved to Git. The development source code for Numpy can from now on be found at http://github.com/numpy/numpy Note on GCC versions ==================== On non-x86 platforms, Numpy can trigger a bug in the recent GCC compiler versions 4.5.0 and 4.5.1: http://gcc.gnu.org/bugzilla/show_bug.cgi?id=45967 We recommend not using these versions of GCC for compiling Numpy on these platforms. Bugs fixed ========== Of the following, #1605 is important for Cython modules. - #937: linalg: lstsq should always return real residual - #1196: lib: fix negative indices in s_ and index_exp - #1287: core: fix uint64 -> Python int cast - #1491: core: richcompare should return Py_NotImplemented when undefined - #1517: lib: close file handles after use in numpy.lib.npyio.* - #1605: core: ensure PEP 3118 buffers can be released in exception handler - #1617: core: fix clongdouble cast to Python complex() - #1625: core: fix detection for ``isfinite`` routine - #1626: core: fix compilation with Solaris 10 / Sun Studio 12.1 Scipy could not be built against Numpy 1.5.0 on OS X due to a numpy.distutils bug, #1399. This issue is fixed now. - #1399: distutils: use C arch flags for Fortran compilation on OS X. Python 3 specific; #1610 is important for any I/O: - #----: f2py: make f2py script runnable on Python 3 - #1604: distutils: potential infinite loop in numpy.distutils - #1609: core: use accelerated BLAS, when available - #1610: core: ensure tofile and fromfile maintain file handle positions -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
