[Numpy-discussion] ANN: NumPy 1.5.0 release
Charles R Harris
charlesr.harris@gmail....
Tue Aug 31 11:56:23 CDT 2010
On Tue, Aug 31, 2010 at 10:18 AM, Ralf Gommers
<ralf.gommers@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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