On Tue, Aug 31, 2010 at 10:18 AM, Ralf Gommers <ralf.gomm...@googlemail.com>wrote:
> I am pleased to announce the availability of NumPy 1.5.0. This is the first > NumPy release to include support for Python 3, as well as for Python 2.7. > > Binaries, sources, documentation 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 1.5.0 Release Notes > ========================= > > > Highlights > ========== > > Python 3 compatibility > ---------------------- > > This is the first NumPy release which is compatible with Python 3. Support > for > Python 3 and Python 2 is done from a single code base. Extensive notes on > changes can be found at > `<http://projects.scipy.org/numpy/browser/trunk/doc/Py3K.txt>`_. > > Note that the Numpy testing framework relies on nose, which does not have a > Python 3 compatible release yet. A working Python 3 branch of nose can be > found > at `<http://bitbucket.org/jpellerin/nose3/>`_ however. > > Porting of SciPy to Python 3 is expected to be completed soon. > > :pep:`3118` compatibility > ------------------------- > > The new buffer protocol described by PEP 3118 is fully supported in this > version of Numpy. On Python versions >= 2.6 Numpy arrays expose the buffer > interface, and array(), asarray() and other functions accept new-style > buffers > as input. > > > New features > ============ > > Warning on casting complex to real > ---------------------------------- > > Numpy now emits a `numpy.ComplexWarning` when a complex number is cast > into a real number. For example: > > >>> x = np.array([1,2,3]) > >>> x[:2] = np.array([1+2j, 1-2j]) > ComplexWarning: Casting complex values to real discards the imaginary > part > > The cast indeed discards the imaginary part, and this may not be the > intended behavior in all cases, hence the warning. This warning can be > turned off in the standard way: > > >>> import warnings > >>> warnings.simplefilter("ignore", np.ComplexWarning) > > Dot method for ndarrays > ----------------------- > > Ndarrays now have the dot product also as a method, which allows writing > chains of matrix products as > > >>> a.dot(b).dot(c) > > instead of the longer alternative > > >>> np.dot(a, np.dot(b, c)) > > linalg.slogdet function > ----------------------- > > The slogdet function returns the sign and logarithm of the determinant > of a matrix. Because the determinant may involve the product of many > small/large values, the result is often more accurate than that obtained > by simple multiplication. > > new header > ---------- > > The new header file ndarraytypes.h contains the symbols from > ndarrayobject.h that do not depend on the PY_ARRAY_UNIQUE_SYMBOL and > NO_IMPORT/_ARRAY macros. Broadly, these symbols are types, typedefs, > and enumerations; the array function calls are left in > ndarrayobject.h. This allows users to include array-related types and > enumerations without needing to concern themselves with the macro > expansions and their side- effects. > > > Changes > ======= > > polynomial.polynomial > --------------------- > > * The polyint and polyder functions now check that the specified number > integrations or derivations is a non-negative integer. The number 0 is > a valid value for both functions. > * A degree method has been added to the Polynomial class. > * A trimdeg method has been added to the Polynomial class. It operates like > truncate except that the argument is the desired degree of the result, > not the number of coefficients. > * Polynomial.fit now uses None as the default domain for the fit. The > default > Polynomial domain can be specified by using [] as the domain value. > * Weights can be used in both polyfit and Polynomial.fit > * A linspace method has been added to the Polynomial class to ease > plotting. > * The polymulx function was added. > > polynomial.chebyshev > -------------------- > > * The chebint and chebder functions now check that the specified number > integrations or derivations is a non-negative integer. The number 0 is > a valid value for both functions. > * A degree method has been added to the Chebyshev class. > * A trimdeg method has been added to the Chebyshev class. It operates like > truncate except that the argument is the desired degree of the result, > not the number of coefficients. > * Chebyshev.fit now uses None as the default domain for the fit. The > default > Chebyshev domain can be specified by using [] as the domain value. > * Weights can be used in both chebfit and Chebyshev.fit > * A linspace method has been added to the Chebyshev class to ease plotting. > * The chebmulx function was added. > * Added functions for the Chebyshev points of the first and second kind. > > > histogram > --------- > > After a two years transition period, the old behavior of the histogram > function > has been phased out, and the "new" keyword has been removed. > > correlate > --------- > > The old behavior of correlate was deprecated in 1.4.0, the new behavior > (the > usual definition for cross-correlation) is now the default. > > Checksums > ========= > > 738572dd3e5d4cd89e98c76cc3f162a9 > release/installers/numpy-1.5.0-py2.5-python.org.dmg > f58ebc1840974cf2ef8b4f41516dc288 > release/installers/numpy-1.5.0-py2.6-python.org.dmg > d7232048392ede8d8d8fb57839cb4b91 > release/installers/numpy-1.5.0-py2.7-python.org.dmg > c5130a11f920706cdc665ef1e07772e2 > release/installers/numpy-1.5.0-win32-superpack-python2.5.exe > b46a52f82126ace1eb7cb627623c64dc > release/installers/numpy-1.5.0-win32-superpack-python2.6.exe > 8a93c004a104f6231de4c398e2b3c48f > release/installers/numpy-1.5.0-win32-superpack-python2.7.exe > 1d255b58764d465e64b7b3eee832aa9e > release/installers/numpy-1.5.0-win32-superpack-python3.1.exe > 3a8bfdc434df782d647161c48943ee09 release/installers/numpy-1.5.0.tar.gz > 11354c0ca15ca6f37df9589bd4f25943 release/installers/numpy-1.5.0.zip > > And a special thanks to you, Ralf. You have done wonderful job taking hold of the release process and keeping numpy development going down the road. On to 2.0, heigh-ho. Chuck
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