Python-announce-list January 2020

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[baseline 0.2.1] Easy String Baseline
by Dan Gass 30 Mar '20

30 Mar '20

I am please to announce the availability of the "baseline" package. This tool streamlines creation and maintenance of tests which compare string output against a baseline. It offers a mechanism to compare a string against a baselined copy and update the baselined copy to match the new value when a mismatch occurs. The update process includes a manual step to facilitate a review of the change before acceptance. The tool uses multi-line string format for string baselines to improve readability for human review. Docs: https://baseline.readthedocs.io/en/latest/ PyPi: https://pypi.org/project/baseline/ Repo: https://github.com/dmgass/baseline License: MIT With Regards, Dan Gass (dan.gass at gmail) *********** Quick Start *********** Create an empty baseline with a triple quoted multi-line string. Place the ending triple quote on a separate line and indent it to the level you wish the string baseline update to be indented to. Add a compare of the string being tested to the baseline string. Then save the file as ``fox.py``: .. code-block:: python from baseline import Baseline expected = Baseline(""" """) test_string = "THE QUICK BROWN FOX\n JUMPS\nOVER THE LAZY DOG." assert test_string == expected Run ``fox.py`` and observe that the ``assert`` raises an exception since the strings are not equal. Because the comparison failed, the tool located the triple quoted baseline string in the source file and updated it with the miscompared value. When the interpretter exited, the tool saved the updated source file but changed the file name to ``fox.update.py``: .. code-block:: python from baseline import Baseline expected = Baseline(""" THE QUICK BROWN FOX JUMPS OVER THE LAZY DOG. """) test_string = "THE QUICK BROWN FOX\n JUMPS\nOVER THE LAZY DOG." assert test_string == expected After reviewing the change with your favorite file differencing tool, accept the change by either manually overwriting the original file or use the ``baseline`` command line tool to scan the directory for updated scripts and accept them: .. code-block:: shell $ python -m baseline * Found updates for: fox.py Hit [ENTER] to update, [Ctrl-C] to cancel fox.update.py -> fox.py Run ``fox.py`` again and observe the ``assert`` does not raise an exception nor is a source file update generated. If in the future the test value changes, the ``assert`` will raise an exception and cause a new source file update to be generated. Simply repeat the review and acceptance step and you are back in business! <P><A HREF="https://baseline.readthedocs.io/en/latest/"> baseline 0.2.1</A> - Easy String Baseline (07-Jun-18)

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The Real-Time Use of Python in Data Science World!
by Anita Goyal 07 Mar '20

07 Mar '20

This course will help you to expertise the usage of Python in Data Science world. Carter your Python Knowledge so that it can be utilized to get the Insights of Data using Methodologies and Techniques of Data Science... Objective: Understand the concepts of Data science and Python You will be able to use Python in Discovering Data. You will have an idea of Statistical and Analytical methods to deal with huge data sets. You will gain an expertise on Regular Expressions, looping functions and concepts of Object Oriented Programming. You will be able to create business algorithms and data models using Python and it's techniques. Work on Real-life Projects will help you to get a practical experience of real scenarios of IT Industry. Start learning Python for Data Science from basics to advance levels here... https://goo.gl/070wXw

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Wing Python IDE 7.2.1 released
by Wingware 30 Jan '20

30 Jan '20

Wing 7.2.1 has been released. This update fixes debug process group termination, avoids failures seen when pasting some Python code, prevents crashing in vi browse mode when the first line of the file is blank, and fixes some other usability issues. For details see the change log: https://wingware.com/pub/wingpro/7.2.1.0/CHANGELOG.txt == Auto-Reformatting with Black and YAPF (Wing Pro) == Wing 7.2 adds support for Black and YAPF for code reformatting, in addition to the previously available built-in autopep8 reformatting. To use Black or YAPF, they must first be installed into your Python with pip, conda, or other package manager. Reformatting options are available from the Source > Reformatting menu group, and automatic reformatting may be configured in the Editor > Auto-reformatting preferences group. Details: https://wingware.com/doc/edit/auto-reformatting == Improved Support for Virtualenv == Wing 7.2 improves support for virtualenv by allowing the command that activates the environment to be entered in the Python Executable in Project Properties, Launch Configurations, and when creating new projects. The New Project dialog now also includes the option to create a new virtualenv along with the new project, optionally specifying packages to install. Details: https://wingware.com/doc/howtos/virtualenv == Support for Anaconda Environments == Similarly, Wing 7.2 adds support for Anaconda environments, so the conda activate command can be entered when configuring the Python Executable and the New Project dialog supports using an existing Anaconda environment or creating a new one along with the project. Details: https://wingware.com/doc/howtos/anaconda == And More == Wing 7.2 also makes it easier to debug modules with python -m, simplifies manual configuration of remote debugging, allows using a command line for the configured Python Executable, and fixes a number of usability issues. For a complete list of new features in Wing 7, see What's New in Wing 7: https://wingware.com/wingide/whatsnew == Downloads == Wing Pro: https://wingware.com/downloads/wing-pro/7.2/binaries Wing Personal: https://wingware.com/downloads/wing-personal/7.2/binaries Wing 101: https://wingware.com/downloads/wing-101/7.2/binaries Compare products: https://wingware.com/downloads See https://wingware.com/doc/install/upgrading for details on upgrading from Wing 6 and earlier, and https://wingware.com/doc/install/migrating for a list of compatibility notes.

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pytest 5.3.5
by Daniel Hahler 29 Jan '20

29 Jan '20

pytest 5.3.5 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. To upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Daniel Hahler * Ran Benita Happy testing, The pytest Development Team

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SciPy 2020 Call for Submissions is open!
by Melissa Mendonça 29 Jan '20

29 Jan '20

Hello all, Apologies for crossposting. I hope this is appropriate an useful for members of this group. ===== SciPy 2020, the 19th annual Scientific Computing with Python conference, will be held July 6-12, 2020 in Austin, Texas. The annual SciPy Conference brings together over 900 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The call for SciPy 2020 talks, posters, and tutorials is now open through February 11, 2020. Talks and Posters (July 8-10, 2020) In addition to the general track, this year will have the following specialized tracks, mini symposia, and sessions: Tracks High Performance Python Machine Learning and Data Science Mini Symposia Astronomy and Astrophysics Biology and Bioinformatics Earth, Ocean, Geo and Atmospheric Science Materials Science Special Sessions Maintainers Track SciPy Tools Plenary Session For additional details and instructions, please see the conference website. <https://www.scipy2020.scipy.org/> Tutorials (July 6-7, 2020) Tutorials should be focused on covering a well-defined topic in a hands-on manner. We are looking for awesome techniques or packages, helping new or advanced Python programmers develop better or faster scientific applications. We encourage submissions to be designed to allow at least 50% of the time for hands-on exercises even if this means the subject matter needs to be limited. Tutorials will be 4 hours in duration. In your tutorial application, you can indicate what prerequisite skills and knowledge will be needed for your tutorial, and the approximate expected level of knowledge of your students (i.e., beginner, intermediate, advanced). Instructors of accepted tutorials will receive a stipend. For examples of content and format, you can refer to tutorials from past SciPy tutorial sessions (SciPy 2018 <https://na-admin.eventscloud.com/emarketing/go.php?i=735095&e=amlsbGNAZW50a…>, SciPy2019 <https://na-admin.eventscloud.com/emarketing/go.php?i=735095&e=amlsbGNAZW50a…> ) and some accepted submissions <https://na-admin.eventscloud.com/emarketing/go.php?i=735095&e=amlsbGNAZW50a…>. For additional details and instructions see the conference website <https://na-admin.eventscloud.com/emarketing/go.php?i=735095&e=amlsbGNAZW50a…> . Submission page: https://easychair.org/conferences/?conf=scipy2020 Submission Deadline: February 11, 2020 - Melissa Weber Mendonça Diversity Committee Co-Chair -- Melissa Weber Mendonça -- "Knowledge is knowing a tomato is a fruit; wisdom is knowing you don't put tomato in fruit salad."

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TatSu 5.0.0 released
by Juancarlo Añez 28 Jan '20

28 Jan '20

竜 TatSu is a tool that takes grammars in a variation of EBNF <http://en.wikipedia.org/wiki/Ebnf> as input, and outputs memoizing <http://en.wikipedia.org/wiki/Memoization> (Packrat <http://bford.info/packrat/>) PEG <http://en.wikipedia.org/wiki/Parsing_expression_grammar> parsers in Python <http://python.org/>. 竜 TatSu can compile a grammar stored in a string into a tatsu.grammars.Grammar object that can be used to parse any given input, much like the re <https://docs.python.org/3.7/library/re.html> module does with regular expressions, or it can generate a Python <http://python.org/> module that implements the parser. 竜 TatSu supports left-recursive <https://en.wikipedia.org/wiki/Left_recursion> rules in PEG <http://en.wikipedia.org/wiki/Parsing_expression_grammar> grammars using the algorithm <http://norswap.com/pubs/sle2016.pdf> by *Laurent* and *Mens*. The generated AST <http://en.wikipedia.org/wiki/Abstract_syntax_tree> has the expected left associativity. <https://github.com/neogeny/TatSu#installation>*CHANGES* - 竜 TatSu is now only tested against Python 3.8. Earlier versions of Python are now deprecated, and Python 2.X versions are no longer supported ( @apalala <https://github.com/apalala>). - Apply nameguard only if token[0].isalpha(). This solves a regression afecting previous TatSu and Grako grammars (@apalala <https://github.com/apalala>). - Remove pygraphviz from develoment requirements, as it doesn't build under Py38 (@apalala <https://github.com/apalala>) - #56 <https://github.com/neogeny/TatSu/issues/56> Include missing tatsu/g2e/antlr.ebnf in distribution (@apalala <https://github.com/apalala>) - #138 <https://github.com/neogeny/TatSu/issues/138> Reimplement the calculation of FIRST, FOLLOW, and LOOKAHEAD sets using latest theories. For now, this should improve parser error reporting, but should eventually enable the simplification of parsing of leftrec grammars (@apalala <https://github.com/apalala>). - #153 <https://github.com/neogeny/TatSu/issues/153> Import ABCs from collections.abc (@tirkarthi <https://github.com/tirkarthi>) - Remove support for Cythonand pypy3 (@apalala <https://github.com/apalala>). -- Juancarlo *Añez*

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Announcing PyData/Sparse 0.9.1
by Hameer Abbasi 27 Jan '20

27 Jan '20

I’d like to announce the release of PyData/Sparse 0.9.1. PyData/Sparse is available on conda-forge and PyPI. PyData/Sparse is a package that provides sparse arrays conforming to the NumPy API, along with a subset of NumPy operations on sparse arrays. The changelog from the last release is available at: https://sparse.pydata.org/en/0.9.1/changelog.html

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berserk v0.7.0
by Robert Grant 26 Jan '20

26 Jan '20

Hi everyone, I'm pleased to announce the release of berserk v0.7.0! What's New? ----------- It's been a while since the last slew of commits and _lots_ has happened since v0.3.2: **Features** * Add ``ApiError`` for all other request errors * Add ``ResponseError`` for 4xx and 5xx responses with status code, reason, and cause * Add a utility for easily converting API objects into update params * Add logging to the ``berserk.session`` module * Add new ``Teams`` client: join, get members, kick member, and leave * Add simuls * Add studies export and export chapter * Add support for the broadcast endpoints * Add tests for all utils * Add tournament results, games export, and list by creator * Add user followers, users following, rating history, and puzzle activity **Deprecations** * Deprecated ``Users.get_by_team`` - use ``Teams.get_members`` instead **Bugfixes** * Fix bug in ``Broadcasts.push_pgn_update`` * Fix exception message when no cause * Fix multiple bugs with the tournament create endpoint * Fix py36 issue preventing successful build * Fix test case broken by 0.4.0 release * Fix multiple bugs in ``Tournaments.export_games`` **Misc** * Update development status classifier to 4 - Beta * Update documentation and tweak the theme * Update the travis build to include py37 * Update the Makefile What is berserk? ---------------- berserk is the Python client for the Lichess API. It supports JSON and PGN, provides pluggable session auth, and implements most if not all of the API. License: GNU General Public License v3 * Read the **docs**: https://berserk.readthedocs.io/ * Install from **PyPI**: https://pypi.org/project/berserk/ * Contribute **source**: https://github.com/rhgrant10/berserk Example ------- .. code-block:: python >>> import berserk >>> session = berserk.TokenSession('my-api-token') >>> client = berserk.Client(session) >>> my = client.account.get() >>> games = list(client.games.export_by_player(my['username'], as_pgn=True)) >>> len(games) 18 Enjoy! -- Rob

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Package Announcement - MicceriRD
by Michael Lance 25 Jan '20

25 Jan '20

MicceriRD 0.2 is a Python module of the 8 real distributions identified by Ted Micceri in his 1989 article "The Unicorn, The Normal Curve, and Other Improbable Creatures", which has been cited 1608 times as of now. This module can be used for invoking these distributions during a Monte Carlo simulation where one wants to test the robustness of a statistical procedure given assumption violations, such as normality. A similar module has previously been published in Fortran 77 (by R.C. Blair) and Fortran 90 (by S. Sawilowsky, R.C. Blair, & T. Micceri, 1990) as REALPOPS.lib. The license is free and open-source under the python packaging authority. Michael Lance michael.lance(a)gmail.com <P><A HREF="https://pypi.org/project/MicceriRD">MicceriRD 0.2</A> - Ted Micceri's (1989) 8 real distributions. (25-Jan-20)

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[RELEASE] Python 3.9.0a3 available for testing
by Łukasz Langa 25 Jan '20

25 Jan '20

Go get it here: https://www.python.org/downloads/release/python-390a3/ <https://www.python.org/downloads/release/python-390a3/> This is an early developer preview of Python 3.9 Python 3.9 is still in development. This releasee, 3.9.0a3 is the third of six planned alpha releases. Alpha releases are intended to make it easier to test the current state of new features and bug fixes and to test the release process. During the alpha phase, features may be added up until the start of the beta phase (2020-05-18) and, if necessary, may be modified or deleted up until the release candidate phase (2020-08-10). Please keep in mind that this is a preview release and its use is not recommended for production environments. Major new features of the 3.9 series, compared to 3.8 Many new features for Python 3.9 are still being planned and written. Among the new major new features and changes so far: PEP 602 <https://www.python.org/dev/peps/pep-0602/>, Python adopts a stable annual release cadence BPO 38379 <https://bugs.python.org/issue38379>, garbage collection does not block on resurrected objects; BPO 38692 <https://bugs.python.org/issue38692>, os.pidfd_open added that allows process management without races and signals; A number of standard library modules (audioop, ast, grp, _hashlib, pwd, _posixsubprocess, random, select, struct, termios, zlib) are now using the stable ABI defined by PEP 384 <https://www.python.org/dev/peps/pep-0384/>. (Hey, fellow core developer, if a feature you find important is missing from this list, let Łukasz know <mailto:lukasz@python.org>.) The next pre-release of Python 3.9 will be 3.9.0a4, currently scheduled for 2020-02-17. - Ł

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Python-announce-list January 2020