Re: [Pytables-users] ANN: numexpr 2.1 RC1 available!
Hi Francesc, Il 26/04/2013 14:11, Francesc Alted ha scritto: Hi Antonio, Al 26/04/13 08:46, En/na Antonio Valentino ha escrit: Hi Francesc, Il 25/04/2013 23:06, Francesc Alted ha scritto: Thanks. Will do! Thanks. For the record patches 0002 and 0003 close issue [75] and [77]. Also numexpr 2.1 closes [91] and [95] [75] https://code.google.com/p/numexpr/issues/detail?id=75 [77] https://code.google.com/p/numexpr/issues/detail?id=77 [91] https://code.google.com/p/numexpr/issues/detail?id=91 [95] https://code.google.com/p/numexpr/issues/detail?id=95 Just released a new version (2.1 RC3) addressing all of this. Please check it out and tell me how it goes. Thanks, Francesc It seems to be all OK for me and with the patch provided by Anthiny now PyTables is 100% compatible with numexpr 2.1rc3. Ubuntu users can find packages for numexpr 2.1rc3 (both for python 2 and pyhton 3) at [1]. [1] https://launchpad.net/~a.valentino/+archive/eotools thanks again -- Antonio Valentino -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
[Pytables-users] ANN: PyTables 3.0 beta1
= Announcing PyTables 3.0.0b1 = We are happy to announce PyTables 3.0.0b1. PyTables 3.0.0b1 comes after about 5 years from the last major release (2.0) and 7 months since the last stable release (2.4.0). This is new major release and an important milestone for the PyTables project since it provides the long waited support for Python 3.x that is being around for already 4 years now. Almost all the main numeric/scientific packages for python already support Python 3 so we are very happy that now also PyTables can provide this important feature. What's new == A short summary of main new features: - Since this release PyTables provides full support to Python 3 - The entire code base is now more compliant with coding style guidelines describe in the PEP8. - Basic support for HDF5 drivers. Now it is possible to open/create an HDF5 file using one of the SEC2, DIRECT, LOG, WINDOWS, STDIO or CORE drivers. - Basic support for in-memory image files. An HDF5 file can be set from or copied into a memory buffer. - Implemented methods to get/set the user block size in a HDF5 file. - All read methods now have an optional *out* argument that allows to pass a pre-allocated array to store data. - Added support for the floating point data types with extended precision (Float96, Float128, Complex192 and Complex256). Please refer to the RELEASE_NOTES document for a more detailed list of changes in this release. As always, a large amount of bugs have been addressed and squashed as well. In case you want to know more in detail what has changed in this version, please refer to: http://pytables.github.io/release_notes.html You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://sourceforge.net/projects/pytables/files/pytables/3.0.0b1 For an online version of the manual, visit: http://pytables.github.io/usersguide/index.html What it is? === PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second. Resources = About PyTables: http://www.pytables.org About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments === Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy makers. Without them, PyTables simply would not exist. Share your experience = Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. **Enjoy data!** -- The PyTables Team -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
Re: [Pytables-users] ANN: PyTables 3.0 beta1
Whoo hoo! Thanks for all of your hard work Antonio! PyTables users, we'd really appreciate it if you could try out this beta release, run the test suite: $ python -c import tables as tb; tb.test() And let us know if there are any issues. Additionally, if you are feeling brave, any help you can give closing out the last remaining issues [1] would be great! Be Well Anthony 1. https://github.com/PyTables/PyTables/issues?milestone=4state=open On Sat, Apr 27, 2013 at 6:51 AM, Antonio Valentino antonio.valent...@tiscali.it wrote: = Announcing PyTables 3.0.0b1 = We are happy to announce PyTables 3.0.0b1. PyTables 3.0.0b1 comes after about 5 years from the last major release (2.0) and 7 months since the last stable release (2.4.0). This is new major release and an important milestone for the PyTables project since it provides the long waited support for Python 3.x that is being around for already 4 years now. Almost all the main numeric/scientific packages for python already support Python 3 so we are very happy that now also PyTables can provide this important feature. What's new == A short summary of main new features: - Since this release PyTables provides full support to Python 3 - The entire code base is now more compliant with coding style guidelines describe in the PEP8. - Basic support for HDF5 drivers. Now it is possible to open/create an HDF5 file using one of the SEC2, DIRECT, LOG, WINDOWS, STDIO or CORE drivers. - Basic support for in-memory image files. An HDF5 file can be set from or copied into a memory buffer. - Implemented methods to get/set the user block size in a HDF5 file. - All read methods now have an optional *out* argument that allows to pass a pre-allocated array to store data. - Added support for the floating point data types with extended precision (Float96, Float128, Complex192 and Complex256). Please refer to the RELEASE_NOTES document for a more detailed list of changes in this release. As always, a large amount of bugs have been addressed and squashed as well. In case you want to know more in detail what has changed in this version, please refer to: http://pytables.github.io/release_notes.html You can download a source package with generated PDF and HTML docs, as well as binaries for Windows, from: http://sourceforge.net/projects/pytables/files/pytables/3.0.0b1 For an online version of the manual, visit: http://pytables.github.io/usersguide/index.html What it is? === PyTables is a library for managing hierarchical datasets and designed to efficiently cope with extremely large amounts of data with support for full 64-bit file addressing. PyTables runs on top of the HDF5 library and NumPy package for achieving maximum throughput and convenient use. PyTables includes OPSI, a new indexing technology, allowing to perform data lookups in tables exceeding 10 gigarows (10**10 rows) in less than a tenth of a second. Resources = About PyTables: http://www.pytables.org About the HDF5 library: http://hdfgroup.org/HDF5/ About NumPy: http://numpy.scipy.org/ Acknowledgments === Thanks to many users who provided feature improvements, patches, bug reports, support and suggestions. See the ``THANKS`` file in the distribution package for a (incomplete) list of contributors. Most specially, a lot of kudos go to the HDF5 and NumPy makers. Without them, PyTables simply would not exist. Share your experience = Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. **Enjoy data!** -- The PyTables Team -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
Re: [Pytables-users] ANN: numexpr 2.1 (Python 3 support is here!)
Congrats Francesc! On Sat, Apr 27, 2013 at 5:07 AM, Francesc Alted fal...@gmail.com wrote: Announcing Numexpr 2.1 Numexpr is a fast numerical expression evaluator for NumPy. With it, expressions that operate on arrays (like 3*a+4*b) are accelerated and use less memory than doing the same calculation in Python. It wears multi-threaded capabilities, as well as support for Intel's VML library (included in Intel MKL), which allows an extremely fast evaluation of transcendental functions (sin, cos, tan, exp, log...) while squeezing the last drop of performance out of your multi-core processors. Its only dependency is NumPy (MKL is optional), so it works well as an easy-to-deploy, easy-to-use, computational kernel for projects that don't want to adopt other solutions that require more heavy dependencies. What's new == The main feature of this version is that it adds a much needed **compatibility for Python 3** Many thanks to Antonio Valentino for his fine work on this. Also, Christoph Gohlke quickly provided feedback and binaries for Windows and Mark Wiebe and Gaëtan de Menten provided many small (but important!) fixes and improvements. All of you made numexpr 2.1 the best release ever. Thanks! In case you want to know more in detail what has changed in this version, see: http://code.google.com/p/numexpr/wiki/ReleaseNotes or have a look at RELEASE_NOTES.txt in the tarball. Where I can find Numexpr? = The project is hosted at Google code in: http://code.google.com/p/numexpr/ You can get the packages from PyPI as well: http://pypi.python.org/pypi/numexpr Share your experience = Let us know of any bugs, suggestions, gripes, kudos, etc. you may have. Enjoy data! Francesc Alted -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
Re: [Pytables-users] ANN: PyTables 3.0 beta1
Am 27.04.2013 19:42, schrieb Anthony Scopatz: On Sat, Apr 27, 2013 at 12:35 PM, Andreas Hilboll li...@hilboll.de mailto:li...@hilboll.de wrote: Am 27.04.2013 19 tel:27.04.2013%2019:17, schrieb Anthony Scopatz: Whoo hoo! Thanks for all of your hard work Antonio! PyTables users, we'd really appreciate it if you could try out this beta release, run the test suite: $ python -c import tables as tb; tb.test() And let us know if there are any issues. Additionally, if you are feeling brave, any help you can give closing out the last remaining issues [1] would be great! $ virtualenv --system-site-packages .virtualenvs/pytables-test (pytables-test) $ python -c import tables; tables.test() Traceback (most recent call last): File string, line 1, in module File tables/__init__.py, line 82, in module from tables.utilsextension import (get_pytables_version, get_hdf5_version, ImportError: No module named utilsextension This seems like you didn't compile and install PyTables first. So to be more clear: ~ $ cd pytables ~/pytables $ python setup.py install ~/pytables $ cd .. ~ $ python -c import tables; tables.test() Be Well Anthony -- Andreas. Sorry, didn't write down that line. Actually, I did compile and install pytables using python setup.py install from within the virtualenv. The problem was that I ran that command from within the installation directory, so that `import tables` didn't import the installed version. I keep making that mistake with every project at least twice :-/ When you try to do that in scipy, it gives a warning. Maybe it would be a good idea to do this in pytables as well? The tests all ran well: $ python -c import tables as tb; tb.test() -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= PyTables version: 3.0.0b1 HDF5 version: 1.8.4-patch1 NumPy version: 1.6.1 Numexpr version: 1.4.2 (not using Intel's VML/MKL) Zlib version: 1.2.3.4 (in Python interpreter) BZIP2 version: 1.0.6 (6-Sept-2010) Blosc version: 1.2.1-rc1 (2013-04-24) Cython version:0.15.1 Python version:2.7.3 (default, Aug 1 2012, 05:14:39) [GCC 4.6.3] Platform: linux2-x86_64 Byte-ordering: little Detected cores:2 Default encoding: ascii -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= [...] Ran 5242 tests in 493.636s OK and $ python -c import tables as tb; tb.test() -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= PyTables version: 3.0.0b1 HDF5 version: 1.8.4-patch1 NumPy version: 1.6.1 Numexpr version: 2.1 (not using Intel's VML/MKL) Zlib version: 1.2.3.4 (in Python interpreter) BZIP2 version: 1.0.6 (6-Sept-2010) Blosc version: 1.2.1-rc1 (2013-04-24) Cython version:0.19 Python version:3.2.3 (default, Oct 19 2012, 20:10:41) [GCC 4.6.3] Platform: linux2-x86_64 Byte-ordering: little Detected cores:2 Default encoding: utf-8 -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= [...] Ran 5217 tests in 526.794s OK -- -- Andreas. -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr ___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
Re: [Pytables-users] ANN: PyTables 3.0 beta1
On Sat, Apr 27, 2013 at 2:26 PM, Andreas Hilboll li...@hilboll.de wrote: Am 27.04.2013 19:42, schrieb Anthony Scopatz: On Sat, Apr 27, 2013 at 12:35 PM, Andreas Hilboll li...@hilboll.de mailto:li...@hilboll.de wrote: Am 27.04.2013 19 tel:27.04.2013%2019:17, schrieb Anthony Scopatz: Whoo hoo! Thanks for all of your hard work Antonio! PyTables users, we'd really appreciate it if you could try out this beta release, run the test suite: $ python -c import tables as tb; tb.test() And let us know if there are any issues. Additionally, if you are feeling brave, any help you can give closing out the last remaining issues [1] would be great! $ virtualenv --system-site-packages .virtualenvs/pytables-test (pytables-test) $ python -c import tables; tables.test() Traceback (most recent call last): File string, line 1, in module File tables/__init__.py, line 82, in module from tables.utilsextension import (get_pytables_version, get_hdf5_version, ImportError: No module named utilsextension This seems like you didn't compile and install PyTables first. So to be more clear: ~ $ cd pytables ~/pytables $ python setup.py install ~/pytables $ cd .. ~ $ python -c import tables; tables.test() Be Well Anthony -- Andreas. Sorry, didn't write down that line. Actually, I did compile and install pytables using python setup.py install from within the virtualenv. The problem was that I ran that command from within the installation directory, so that `import tables` didn't import the installed version. I keep making that mistake with every project at least twice :-/ When you try to do that in scipy, it gives a warning. Maybe it would be a good idea to do this in pytables as well? That is a good idea! The tests all ran well: Glad they passed! Be Well Anthony $ python -c import tables as tb; tb.test() -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= PyTables version: 3.0.0b1 HDF5 version: 1.8.4-patch1 NumPy version: 1.6.1 Numexpr version: 1.4.2 (not using Intel's VML/MKL) Zlib version: 1.2.3.4 (in Python interpreter) BZIP2 version: 1.0.6 (6-Sept-2010) Blosc version: 1.2.1-rc1 (2013-04-24) Cython version:0.15.1 Python version:2.7.3 (default, Aug 1 2012, 05:14:39) [GCC 4.6.3] Platform: linux2-x86_64 Byte-ordering: little Detected cores:2 Default encoding: ascii -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= [...] Ran 5242 tests in 493.636s OK and $ python -c import tables as tb; tb.test() -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= PyTables version: 3.0.0b1 HDF5 version: 1.8.4-patch1 NumPy version: 1.6.1 Numexpr version: 2.1 (not using Intel's VML/MKL) Zlib version: 1.2.3.4 (in Python interpreter) BZIP2 version: 1.0.6 (6-Sept-2010) Blosc version: 1.2.1-rc1 (2013-04-24) Cython version:0.19 Python version:3.2.3 (default, Oct 19 2012, 20:10:41) [GCC 4.6.3] Platform: linux2-x86_64 Byte-ordering: little Detected cores:2 Default encoding: utf-8 -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= [...] Ran 5217 tests in 526.794s OK -- -- Andreas. -- Try New Relic Now We'll Send You this Cool Shirt New Relic is the only SaaS-based application performance monitoring service that delivers powerful full stack analytics. Optimize and monitor your browser, app, servers with just a few lines of code. Try New Relic and get this awesome Nerd Life shirt! http://p.sf.net/sfu/newrelic_d2d_apr___ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
