ANN: elicit CLI framework with enhanced debugger 1.7
I really like the exception chaining feature of Python 3. I also like the fact that an exception instance now has access to the traceback, making it the only object you need to start a debugging session from an exception. However, the stock pdb module still does not make it easy to inspect the chained exceptions. So I've recently added that feature to my debugger module. It's contained in the Elicit package. https://pypi.org/project/elicit/ The new commands "switch", and "cause" will switch tracebacks to the "context", or "cause" exceptions, respectively. The elicit framework is a CLI framework that the debugger uses (replaces cmd). It has no other dependencies itself. To get this feature you should enter the debugger from the function "from_exception(exc)". The "post_mortem" function only takes a traceback, so you lose the active exception in some cases. -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: unicode 2.7
unicode is a simple python command line utility that displays properties for a given unicode character, or searches unicode database for a given name. It was written with Linux in mind, but should work almost everywhere (including MS Windows and MacOSX), UTF-8 console is recommended. ˙pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo əsn pəɔuɐʌpɐ puɐ səldı̣ɔuı̣ɹd əɥʇ ɓuı̣ʇɐɹʇsuoɯəp looʇ ɔı̣ʇɔɐpı̣p ʇuəlləɔxə uɐ sı̣ ʇI ˙sʇuı̣odəpoɔ ʇuəɹəɟɟı̣p ʎləʇəldɯoɔ ɓuı̣sn əlı̣ɥʍ 'sɥdʎlɓ ɟo ɯɐəɹʇs ɹɐlı̣ɯı̣s ʎllɐnsı̣ʌ oʇuı̣ ʇxəʇ əɥʇ ʇɹəʌuoɔ oʇ pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo ɹəʍod llnɟ əɥʇ sʇı̣oldxə ʇɐɥʇ 'ʎʇı̣lı̣ʇn ,əpoɔɐɹɐd, oslɐ suı̣ɐʇuoɔ əɓɐʞɔɐd əɥ⊥ Changes since previous versions: * add East Asian width * hack to consider regular expressions ending with '$' * do not flush stdout (prevents exception if stdout pipe breaks) URL: http://kassiopeia.juls.savba.sk/~garabik/software/unicode.html License: GPL v3 Installation: pip install unicode -- --- | Radovan Garabík http://kassiopeia.juls.savba.sk/~garabik/ | | __..--^^^--..__garabik @ kassiopeia.juls.savba.sk | --- Antivirus alert: file .signature infected by signature virus. Hi! I'm a signature virus! Copy me into your signature file to help me spread! -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
[ANN] python-blosc 1.7.0
= Announcing python-blosc 1.7.0 = What is new? This is a maintenance release which takes care of several housekeepting tasks. Support for older versions of Python (2.6 and 3.3) has been removed from the codebase. A new version of C-Blosc (1.5.1) that now passes all unit and integration tests across all supported platforms has been included. Finally, a the vendored cpuinfo.py has been upgraded and the automatic tests on Windows via Appveyor have been upgraded to include a larger variety of Windows/Python combinations. A big thank you goes out to Daniel Stender from the Debian project for his continued efforts to package the Blosc stack -- including python-blosc -- for Debian. This also means it is likely that a recent version of python-blosc will be included in Buster. For more info, you can have a look at the release notes in: https://github.com/Blosc/python-blosc/blob/master/RELEASE_NOTES.rst More docs and examples are available in the documentation site: http://python-blosc.blosc.org What is it? === Blosc (http://www.blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. python-blosc (http://python-blosc.blosc.org/) is the Python wrapper for the Blosc compression library, with added functions (`compress_ptr()` and `pack_array()`) for efficiently compressing NumPy arrays, minimizing the number of memory copies during the process. python-blosc can be used to compress in-memory data buffers for transmission to other machines, persistence or just as a compressed cache. There is also a handy tool built on top of python-blosc called Bloscpack (https://github.com/Blosc/bloscpack). It features a commmand line interface that allows you to compress large binary datafiles on-disk. It also comes with a Python API that has built-in support for serializing and deserializing Numpy arrays both on-disk and in-memory at speeds that are competitive with regular Pickle/cPickle machinery. Sources repository == The sources and documentation are managed through github services at: http://github.com/Blosc/python-blosc **Enjoy data!** -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: poliastro 0.11.1 released 🚀
Hi all, It fills us with astronomical joy to announce the release of poliastro 0.11.1! 🚀 poliastro is a pure Python library that allows you to simulate and analyze interplanetary orbits in a Jupyter notebook in an interactive and easy way, used in academia and the industry by people from all around the world. You can install it using pip or conda: pip install poliastro conda install poliastro --channel conda-forge This release brought some bug fixes that we accumulated while preparing the next major version. You can read the full release notes in the documentation: http://docs.poliastro.space/en/v0.11.1/changelog.html#poliastro-0-11-1-2018-12-27 If you want to know more, don't miss my talk on the Open Source Cubesat Worshop held at the European Space Operations Centre last year: https://youtu.be/KnoYzqAw_vM?t=1h36m14s Please join our chat on Matrix/Riot and feel free to ask any questions you might have: https://riot.im/app/#/room/#poliastro:matrix.org Per Python ad astra! -- Juan Luis Cano -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: SfePy 2018.4
I am pleased to announce release 2018.4 of SfePy. Description --- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method or by the isogeometric analysis (limited support). It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -- - better support for eigenvalue problems - improved MUMPS solver interface - support for logging and plotting of complex values For full release notes see [1]. Cheers, Robert Cimrman [1] http://docs.sfepy.org/doc/release_notes.html#id1 --- Contributors to this release in alphabetical order: Robert Cimrman Vladimir Lukes Matyas Novak Jan Heczko Lubos Kejzlar -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
[RELEASE] Python 3.7.2 and 3.6.8 are now available
https://blog.python.org/2018/12/python-372-and-368-are-now-available.html Python 3.7.2 and 3.6.8 are now available. Python 3.7.2 is the next maintenance release of Python 3.7, the latest feature release of Python. You can find Python 3.7.2 here: https://www.python.org/downloads/release/python-372/ See the What’s New In Python 3.7 document for more information about the many new features and optimizations included in the 3.7 series. Detailed information about the changes made in 3.7.2 can be found in its change log. We are also happy to announce the availability of Python 3.6.8: https://www.python.org/downloads/release/python-368/ Python 3.6.8 is planned to be the last bugfix release of Python 3.6. Per our support policy, we plan to provide security fixes for Python 3.6 as needed through 2021, five years following its initial release. Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation. https://docs.python.org/3.7/whatsnew/3.7.html https://docs.python.org/3.7/whatsnew/changelog.html#python-3-7-2-final https://docs.python.org/3.6/whatsnew/changelog.html#python-3-6-8-final https://www.python.org/psf/ -- Ned Deily n...@python.org -- [] -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
