[Numpy-discussion] ANN: Pandas 0.15.0 Release Candiate 1
Hi, I'm pleased to announce the availability of the first release candidate of Pandas 0.15.0. Please try this RC and report any issues here: Pandas Issues https://github.com/pydata/pandas/issues We will be releasing officially in 1-2 weeks or so. This is a major release from 0.14.1 and includes a number of API changes, several new features, enhancements, and performance improvements along with a large number of bug fixes. Highlights include: - Drop support for numpy 1.7.0 - The Categorical type was integrated as a first-class pandas type - New scalar type Timedelta, and a new index type TimedeltaIndex - New DataFrame default display for df.info() to include memory usage - New datetimelike properties accessor .dt for Series - Split indexing documentation into Indexing and Selecting Data and MultiIndex / Advanced Indexing - Split out string methods documentation into Working with Text Data - read_csv will now by default ignore blank lines when parsing - API change in using Indexes in set operations - Internal refactoring of the Index class to no longer sub-class ndarray - dropping support for PyTables less than version 3.0.0, and numexpr less than version 2.1 Here are the full whatsnew and documentation links: v0.15.0 Whatsnew http://pandas.pydata.org/pandas-docs/version/0.15.0/whatsnew.html v0.15.0 Documentation Page http://pandas.pydata.org/pandas-docs/version/0.15.0/ Source tarballs, and windows builds are available here: Pandas v0.15.0rc1 Release https://github.com/pydata/pandas/releases A big thank you to everyone who contributed to this release! Jeff ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Copyright status of NumPy binaries on Windows/OS X
On 06.10.2014 18:54, Andrew Collette wrote: Hi all, I am working with the HDF Group on a new open-source viewer program for HDF5 files, powered by NumPy, h5py, and wxPython. On Windows, since people don't typically have Python installed, we are looking to distribute the application using PyInstaller, which embeds dependencies like NumPy. Likewise for OS X (using Py2App). We would like to make sure we don't accidentally include non-open-source components... I recall there was some discussion here about using the Intel math libraries for binary releases on various platforms. Do the releases on SourceForge or PyPI use any proprietary code? We'd like to avoid building NumPy ourselves if we can avoid it. Apologies if this is explained somewhere, but I couldn't find it. Thanks! Andrew Collette Hi, the numpy win32 binaries on sourceforge do not contain any proprietary code. They are build with mingw 3.4.5 and are using a f2c'd version of netlib blas and lapack which so far I know is public domain. I think the macos wheels on pypi are built using ATLAS but they do also contain libquadmath which is LGPL licensed. Its probably pulled in by fortran (could maybe be removed by a rebuild as neither blas nor numpy use it) There are also unofficial win64 binaries floating around, I don't know what they are using, but its possible they contain MKL, you need to check with who is building these (Christoph Gohlke I think). Cheers, Julian signature.asc Description: OpenPGP digital signature ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] Copyright status of NumPy binaries on Windows/OS X
Hey Andrew, You can use any of the binaries from Anaconda and redistribute them as long as you cite Anaconda --- i.e. tell your users that they are using Anaconda-derived binaries. The Anaconda binaries link against ATLAS. The binaries are all at http://repo.continuum.io/pkgs/ In case you weren't aware: Another way you can build and distribute an application is to build a 'conda' meta-package which lists all the dependencies. If you add to this meta-package 1) an icon and 2) an entry-point, then your application will automatically show up in the Anaconda Launcher (see this blog-post: http://www.continuum.io/blog/new-launcher ) and anyone with the Anaconda Launcher app can install/update your package by clicking on the icon next to it. Users can also install your package with conda install or using the conda-gui. Best, -Travis On Mon, Oct 6, 2014 at 11:54 AM, Andrew Collette andrew.colle...@gmail.com wrote: Hi all, I am working with the HDF Group on a new open-source viewer program for HDF5 files, powered by NumPy, h5py, and wxPython. On Windows, since people don't typically have Python installed, we are looking to distribute the application using PyInstaller, which embeds dependencies like NumPy. Likewise for OS X (using Py2App). We would like to make sure we don't accidentally include non-open-source components... I recall there was some discussion here about using the Intel math libraries for binary releases on various platforms. Do the releases on SourceForge or PyPI use any proprietary code? We'd like to avoid building NumPy ourselves if we can avoid it. Apologies if this is explained somewhere, but I couldn't find it. Thanks! Andrew Collette ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion -- Travis Oliphant CEO Continuum Analytics, Inc. http://www.continuum.io ___ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
