Mailman 3 July 2018 - Python-announce-list

[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 version 6.1 released
by Wingware 01 Aug '18

01 Aug '18

Hi, Wingware has just released Wing 6.1 <http://wingware.com/news/2018-07-30>, which adds PEP 8 reformatting, includes a How-To for Windows Subsystem for Linux, supports the Qt5Agg backend for matplotlib, allows configuring a path for code snippets, supports evaluating generator expressions that use data from the enclosing scope in the Debug Probe, improves auto-completion for pygame, and makes about 45 other minor improvements.For details, see https://wingware.com/pub/wingide/6.1.0/CHANGELOG.txt Download Now <https://wingware.com/downloads> About Wing Wing is a family of cross-platform <http://wingware.com/doc/install/supported-platforms> Python IDEs with powerful integrated editing, debugging, unit testing, and project management features. Wing runs on Windows, Linux, and OS X, and can be used to develop any kind of Python code for web, desktop, embedded scripting, and other applications. Wing 101 <https://wingware.com/downloads/wing-101> and Wing Personal <https://wingware.com/downloads/wing-personal> omit some features and are free to download and use without a license. Wing Pro <https://wingware.com/downloads/wing-pro> requires purchasing <https://wingware.com/store/purchase> or upgrading <https://wingware.com/store/upgrade> a license, or obtaining a 30-day trial at startup. Version 6 introduces many new features, including improved multi-selection, much easier remote development <https://wingware.com/doc/proj/remote-hosts>, debugging from the Python Shell, recursive debugging, PEP 484 and 526 type hinting, PEP 8 reformatting, support for Python 3.6 and 3.7, Vagrant <https://wingware.com/doc/howtos/vagrant>, Jupyter <https://wingware.com/doc/howtos/jupyter>, Django <https://wingware.com/doc/howtos/django> 1.10+ and 2.0, and Windows Subsystem for Linux, improved mainloop support for matplotlib, easier Raspberry Pi <https://wingware.com/doc/howtos/raspberry> development, optimized debugger, OS X full screen mode, One Dark color palette, Russian localization (thanks to Alexandr Dragukin), expanded free product line, and much more. For details, see What's New in Wing Version 6 <https://wingware.com/wingide/whatsnew>. Wing 6 works with Python versions 2.5 through 2.7 and 3.2 through 3.7, including also Anaconda, ActivePython, EPD, Stackless, and others derived from the CPython implementation. For more product information, please visit wingware.com <https://wingware.com/> Upgrading You can try Wing 6 without removing older versions. Wing 6 will read and convert your old preferences, settings, and projects. Projects should be saved to a new name since previous versions of Wing cannot read Wing 6 projects. See also Migrating from Older Versions <https://wingware.com/doc/install/migrating> and Upgrading <https://wingware.com/doc/install/upgrading>. Links Release notice: https://wingware.com/news/2018-07-30 Downloads and Free Trial: https://wingware.com/downloads Buy: https://wingware.com/store/purchase Upgrade: https://wingware.com/store/upgrade Questions? Don't hesitate to email us at support(a)wingware.com. Thanks, -- Stephan Deibel Wingware | Python IDE The Intelligent Development Environment for Python Programmers wingware.com

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Vulture 0.29
by Jendrik Seipp 31 Jul '18

31 Jul '18

Vulture - Find dead code ======================== Vulture finds unused code in Python programs. This is useful for cleaning up and finding errors in large code bases. If you run Vulture on both your library and test suite you can find untested code. Due to Python's dynamic nature, static code analyzers like Vulture are likely to miss some dead code. Also, code that is only called implicitly may be reported as unused. Nonetheless, Vulture can be a very helpful tool for higher code quality. Download ======== https://github.com/jendrikseipp/vulture http://pypi.python.org/pypi/vulture Features ======== * fast: uses static code analysis * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * sorts unused classes and functions by size with ``--sort-by-size`` * supports Python 2.7 and Python >= 3.4 News ==== * Add ``--ignore-names`` flag for ignoring names matching the given glob patterns (thanks @RJ722). Cheers Jendrik

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pytest 3.7.0 released!
by Bruno Oliveira 31 Jul '18

31 Jul '18

The pytest team is proud to announce the 3.7.0 release! pytest is a mature Python testing tool with more than a 2000 tests against itself, passing on many different interpreters and platforms. The highlight of this release is support for package-scoped fixtures (still experimental). Please try it out and give us feedback! Changelog: http://doc.pytest.org/en/latest/changelog.html For complete documentation, please visit: http://docs.pytest.org As usual, you can upgrade from pypi via: pip install -U pytest Thanks to all who contributed to this release, among them: * Alan * Alan Brammer * Ammar Najjar * Anthony Sottile * Bruno Oliveira * Jeffrey Rackauckas * Kale Kundert * Ronny Pfannschmidt * Serhii Mozghovyi * Tadek Teleżyński * Wil Cooley * abrammer * avirlrma * turturica Happy testing, The Pytest Development Team

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Trac 1.2.3 Released
by Ryan Ollos 30 Jul '18

30 Jul '18

Trac 1.2.3 Released =================== Trac 1.2.3, the latest maintenance release for the current stable branch, is available. You will find this release at the usual places: *https://trac.edgewall.org/wiki/TracDownload#LatestStableRelease <https://trac.edgewall.org/wiki/TracDownload#LatestStableRelease>* https://pypi.python.org/pypi/Trac/1.2.3 You can find the detailed release notes for 1.2.3 on the following pages: https://trac.edgewall.org/wiki/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.2#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.2.3-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.2.3.tar.gz https://download.edgewall.org/trac/Trac-1.2.3.win32.exe https://download.edgewall.org/trac/Trac-1.2.3.win-amd64.exe MD5 sums: 340d90177a00f7a9a4ebfad221375155 Trac-1.2.3-py2-none-any.whl 7d430c8769cd21bdbcd7222e4cabc9ee Trac-1.2.3.tar.gz be7186dfb0428a381f4d75383d9c9ea9 Trac-1.2.3.win32.exe 88129a2397ce78eebd86de3a67671359 Trac-1.2.3.win-amd64.exe SHA1 sums: d29f715aa9421cb7496d4c70dbdd363ac6a397ca Trac-1.2.3-py2-none-any.whl b426e8af41adef1d82709e23b771e24dbff8a0b2 Trac-1.2.3.tar.gz 6c7681edf6c2642bd5c621db1b2521e74d5d13ce Trac-1.2.3.win32.exe 6288cbed2bbd574aad252160764ba5d9dbdc1d57 Trac-1.2.3.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team https://trac.edgewall.org/

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ANN: First public release of cfgrib a GRIB driver for xarray based on ecCodes
by Alessandro Amici 26 Jul '18

26 Jul '18

On behalf of ECMWF I'm pleased to announce the first public release of `cfgrib`, a Python interface to map GRIB files to the NetCDF Common Data Model following the CF Conventions using ECMWF ecCodes for decoding. Included in the package is a GRIB driver for xarray. https://pypi.org/project/cfgrib/0.8.4 Please note that the development stage of this project is **Alpha**. Features: - provisional GRIB driver for xarray, - support all modern versions of Python 3.7, 3.6, 3.5 and 2.7, plus PyPy and PyPy3, - read the data lazily and efficiently in terms of both memory usage and disk access, - map a GRIB 1 or 2 file to a set of N-dimensional variables following the NetCDF Common Data Model, - add CF Conventions attributes to known coordinate and data variables, - no write support (yet). The main repository is hosted on GitHub, testing, bug report and contributions are highly welcomed and appreciated. Every little help counts, so do not hesitate! https://github.com/ecmwf/cfgrib User support questions are best asked on StackOverflow: https://stackoverflow.com/search?q=cfgrib The project is free and open source software distributed under the terms of the Apache License, Version 2.0, the development is led by B-Open <http://bopen.eu> on behalf of ECMWF <https://ecmwf.int>. Cheers, Alessandro

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ANN: First public release of cfgrib a GRIB driver for xarray based on ecCodes
by Alessandro Amici 26 Jul '18

26 Jul '18

On behalf of ECMWF I'm pleased to announce the first public release of `cfgrib`, a Python interface to map GRIB files to the NetCDF Common Data Model following the CF Conventions using ECMWF ecCodes for decoding. Included in the package is a GRIB driver for xarray. https://pypi.org/project/cfgrib/0.8.4 Please note that the development stage of this project is **Alpha**. Features: - provisional GRIB driver for xarray, - support all modern versions of Python 3.7, 3.6, 3.5 and 2.7, plus PyPy and PyPy3, - read the data lazily and efficiently in terms of both memory usage and disk access, - map a GRIB 1 or 2 file to a set of N-dimensional variables following the NetCDF Common Data Model, - add CF Conventions attributes to known coordinate and data variables, - no write support (yet). The main repository is hosted on GitHub, testing, bug report and contributions are highly welcomed and appreciated. Every little help counts, so do not hesitate! https://github.com/ecmwf/cfgrib User support questions are best asked on StackOverflow: https://stackoverflow.com/search?q=cfgrib The project is free and open source software distributed under the terms of the Apache License, Version 2.0, the development is led by B-Open < http://bopen.eu> on behalf of ECMWF <https://ecmwf.int>. Cheers, Alessandro

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[ANN] - Skyline v1.2.4-stable-luminosity
by Gary Wilson 25 Jul '18

25 Jul '18

For those interested in anomaly detection and deflection in streamed time series data. I would like to announce the new release of Skyline v1.2.4 - https://github.com/earthgecko/skyline/releases/tag/v1.2.2-stable-luminosity Project page -> https://github.com/earthgecko/skyline Documentation -> https://earthgecko-skyline.readthedocs.io/en/latest/index.html With the hope Skyline can make the universe a bit less anomalous. Regards Gary

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NumPy 1.15.0 released.
by Charles R Harris 23 Jul '18

23 Jul '18

Hi All, On behalf of the NumPy team I'm pleased to announce the release of NumPy 1.15.0rc2. This release has an unusual number of cleanups, many deprecations of old functions, and improvements to many existing functions. A total of 438 pull reguests were merged for this release, please look at the release notes <https://github.com/numpy/numpy/releases/tag/v1.15.0>for details. Some highlights are: - NumPy has switched to pytest for testing. - A new `numpy.printoptions` context manager. - Many improvements to the histogram functions. - Support for unicode field names in python 2.7. - Improved support for PyPy. - Fixes and improvements to `numpy.einsum`. The Python versions supported by this release are 2.7, 3.4-3.7. The wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg problems reported for NumPy 1.14. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.15.0/>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.15.0>. *Contributors* A total of 133 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Aaron Critchley + * Aarthi + * Aarthi Agurusa + * Alex Thomas + * Alexander Belopolsky * Allan Haldane * Anas Khan + * Andras Deak * Andrey Portnoy + * Anna Chiara * Aurelien Jarno + * Baurzhan Muftakhidinov * Berend Kapelle + * Bernhard M. Wiedemann * Bjoern Thiel + * Bob Eldering * Cenny Wenner + * Charles Harris * ChloeColeongco + * Chris Billington + * Christopher + * Chun-Wei Yuan + * Claudio Freire + * Daniel Smith * Darcy Meyer + * David Abdurachmanov + * David Freese * Deepak Kumar Gouda + * Dennis Weyland + * Derrick Williams + * Dmitriy Shalyga + * Eric Cousineau + * Eric Larson * Eric Wieser * Evgeni Burovski * Frederick Lefebvre + * Gaspar Karm + * Geoffrey Irving * Gerhard Hobler + * Gerrit Holl * Guo Ci + * Hameer Abbasi + * Han Shen * Hiroyuki V. Yamazaki + * Hong Xu * Ihor Melnyk + * Jaime Fernandez * Jake VanderPlas + * James Tocknell + * Jarrod Millman * Jeff VanOss + * John Kirkham * Jonas Rauber + * Jonathan March + * Joseph Fox-Rabinovitz * Julian Taylor * Junjie Bai + * Juris Bogusevs + * Jörg Döpfert * Kenichi Maehashi + * Kevin Sheppard * Kimikazu Kato + * Kirit Thadaka + * Kritika Jalan + * Kyle Sunden + * Lakshay Garg + * Lars G + * Licht Takeuchi * Louis Potok + * Luke Zoltan Kelley * MSeifert04 + * Mads R. B. Kristensen + * Malcolm Smith + * Mark Harfouche + * Marten H. van Kerkwijk + * Marten van Kerkwijk * Matheus Vieira Portela + * Mathieu Lamarre * Mathieu Sornay + * Matthew Brett * Matthew Rocklin + * Matthias Bussonnier * Matti Picus * Michael Droettboom * Miguel Sánchez de León Peque + * Mike Toews + * Milo + * Nathaniel J. Smith * Nelle Varoquaux * Nicholas Nadeau, P.Eng., AVS + * Nick Minkyu Lee + * Nikita + * Nikita Kartashov + * Nils Becker + * Oleg Zabluda * Orestis Floros + * Pat Gunn + * Paul van Mulbregt + * Pauli Virtanen * Pierre Chanial + * Ralf Gommers * Raunak Shah + * Robert Kern * Russell Keith-Magee + * Ryan Soklaski + * Samuel Jackson + * Sebastian Berg * Siavash Eliasi + * Simon Conseil * Simon Gibbons * Stefan Krah + * Stefan van der Walt * Stephan Hoyer * Subhendu + * Subhendu Ranjan Mishra + * Tai-Lin Wu + * Tobias Fischer + * Toshiki Kataoka + * Tyler Reddy + * Unknown + * Varun Nayyar * Victor Rodriguez + * Warren Weckesser * William D. Irons + * Zane Bradley + * cclauss + * fo40225 + * lapack_lite code generator + * lumbric + * luzpaz + * mamrehn + * tynn + * xoviat Cheers, Charles Harris

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Python-announce-list July 2018