Mailman 3 September 2018 - Python-announce-list

[baseline 0.2.1] Easy String Baseline
by Dan Gass March 30, 2020

March 30, 2020

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 March 7, 2020

March 7, 2020

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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Nikola v8.0.1 is out!
by Chris Warrick Sept. 30, 2018

Sept. 30, 2018

On behalf of the Nikola team, I am pleased to announce the immediate availability of Nikola v8.0.1. Some bugs were fixed; more importantly, we pinned down the Markdown package version due to incompatibilities. What is Nikola? =============== Nikola is a static site and blog generator, written in Python. It can use Mako and Jinja2 templates, and input in many popular markup formats, such as reStructuredText and Markdown — and can even turn Jupyter Notebooks into blog posts! It also supports image galleries, and is multilingual. Nikola is flexible, and page builds are extremely fast, courtesy of doit (which is rebuilding only what has been changed). Find out more at the website: https://getnikola.com/ Downloads ========= Install using `pip install Nikola`. (Python 3-only since v8.0.0.) Changes ======= * Not compatible with Markdown 3.x yet, this release pins the requirement down to 2.x (until we get 3.x support done) Features -------- * Make URL displayed by ``nikola auto`` and ``nikola serve`` clickable (Issue #3166) Bugfixes -------- * Pandoc compiler was passing deleted argument (Issue #3171) * Make ``nikola version --check`` work again (Issue #3170) * Set logging level for reST to warning in order to limit noise * Fix docinfo removal for sites that use reST docinfo metadata (Issue #3167)

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relatorio 0.8.1
by Cédric Krier Sept. 30, 2018

Sept. 30, 2018

We are glade to announce the release 0.8.1 of relatorio. Relatorio is a templating library which provides a way to easily output several kinds of files (odt, ods, png, svg, …). It is a bug-fix release which includes: Add support for Python 3.7 Escape invalid XML characters Enforce closing tag to be the same directive as the opening Use compression for zip file Write mimetype as first file of the zip file The package is available on https://pypi.org/project/relatorio/0.8.1/ The document is available on https://relatorio.readthedocs.io/en/0.8.1/

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python-sql 1.0.0 release
by Cédric Krier Sept. 30, 2018

Sept. 30, 2018

We are proud to announce the release of the version 1.0.0 of python-sql. python-sql is a library to write SQL queries in a pythonic way. In addition to bug-fixes, this release contains those improvements: Add Flavor filter_ to fallback to case expression Allow to use expression in AtTimeZone Add comparison predicates Add COLLATE python-sql is available on PyPI: https://pypi.org/project/python-sql/1.0.0/

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EuroPython 2019: RFP for Venues
by M.-A. Lemburg Sept. 28, 2018

Sept. 28, 2018

Dear EuroPython'istas, We are happy to announce that we have started the RFP for venues to host the EuroPython 2019 conference. We have sent out the details to almost 40 venues. For more details about the RFP, please see our blog post: https://www.europython-society.org/post/178541594370/europython-2019-rfp-fo… Many thanks to everyone who had submitted contact details and venue suggestions after our call. We have tried to include all of them in the list of direct recipients. Feel free to forward the blog post to additional suitable venues. Many thanks, -- EuroPython Society Board https://www.europython-society.org/

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[RELEASE] Python 3.7.1rc1 and 3.6.7rc1 now available for testing
by Ned Deily Sept. 27, 2018

Sept. 27, 2018

Python 3.7.1rc1 and 3.6.7rc1 are now available. 3.7.1rc1 is the release preview of the first maintenance release of Python 3.7, the latest feature release of Python. 3.6.7rc1 is the release preview of the next maintenance release of Python 3.6, the previous feature release of Python. Assuming no critical problems are found prior to 2018-10-06, no code changes are planned between these release candidates and the final releases. These release candidates are intended to give you the opportunity to test the new security and bug fixes in 3.7.1 and 3.6.7. We strongly encourage you to test your projects and report issues found to bugs.python.org as soon as possible. Please keep in mind that these are preview releases and, thus, their use is not recommended for production environments. You can find these releases and more information here: https://www.python.org/downloads/release/python-371rc1/ https://www.python.org/downloads/release/python-367rc1/ -- Ned Deily nad(a)python.org -- []

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EuroPython 2019: Seeking venues
by M.-A. Lemburg Sept. 24, 2018

Sept. 24, 2018

Dear EuroPython'istas, We are in preparations of our venue RFP for the EuroPython 2019 edition and are asking for your help in finding the right locations for us to choose from. If you know of a larger venue - hotel or conference center - that can accommodate at least 1400 attendees, please send the venue details to board(a)europython.eu. We will then make sure to include them in our RFP once we send it out. The more venues we gather to reach out to, the better of a selection process we can guarantee, which in return, will ultimately result in a better conference experience for everybody involved. When sending us venue suggestions, please make sure to provide us with the following: name and URL of the venue, country and city, as well as the contact details of the sales person in charge of inquiries (full name, email and phone). We were planning to start the RFP process in the coming days, so please make sure you send us your recommendations as soon as possible. Help spread the word -------------------- Please help us spread this message by sharing it on your social networks as widely as possible. Thank you ! Link to the blog post: https://blog.europython.eu/post/178407491437/europython-2019-seeking-venues Tweet: https://twitter.com/europython/status/1044130171354316800 Thank you, -- EuroPython Society https://www.europython-society.org/

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Numpy 1.14.6 release
by Charles R Harris Sept. 23, 2018

Sept. 23, 2018

Hi All, On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.14.6. This is a bug fix release for bugs and regressions reported following the 1.14.5 release. The significant fixes are: - Fix for behavior change in ``ma.masked_values(shrink=True)`` - Fix the new cached allocations machinery to be thread safe. 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 earlier releases of NumPy 1.14. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.14.6/>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.14.6>. Compatibility Note ================== The NumPy 1.14.6 OS X wheels released on PyPI no longer contain 32-bit binaries. See #11625 <https://github.com/numpy/numpy/issues/11625> for the related discussion. Those needing 32-bit support should look elsewhere or build from source. Contributors ============ A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Eric Wieser - Julian Taylor - Matti Picus Pull requests merged ==================== A total of 4 pull requests were merged for this release. - #11985: BUG: fix cached allocations without the GIL - #11986: BUG: Undo behavior change in ma.masked_values(shrink=True) - #11987: BUG: fix refcount leak in PyArray_AdaptFlexibleDType - #11995: TST: Add Python 3.7 testing to NumPy 1.14. Cheers, Charles Harris

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NumPy 1.15.2 released
by Charles R Harris Sept. 23, 2018

Sept. 23, 2018

Hi All, On behalf of the NumPy team, I am pleased to announce the release of NumPy 1.15.2. This is a bug fix release for bugs and regressions reported following the 1.15.2 release. The fixes are: - the matrix PendingDeprecationWarning is now suppressed in pytest 3.8, - the new cached allocations machinery has been fixed to be thread safe, - the boolean indexing of subclasses now works correctly, - a small memory leak in PyArray_AdaptFlexibleDType has been fixed. 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/1.15.2/>, source archives are available from Github <https://github.com/numpy/numpy/releases/tag/v1.15.2> Compatibility Note ================== The NumPy 1.15.x OS X wheels released on PyPI no longer contain 32-bit binaries. That will also be the case in future releases. See `#11625 <https://github.com/numpy/numpy/issues/11625>`__ for the related discussion. Those needing 32-bit support should look elsewhere or build from source. Contributors ============ A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Charles Harris * Julian Taylor * Marten van Kerkwijk * Matti Picus Pull requests merged ==================== A total of 4 pull requests were merged for this release. * `#11902 <https://github.com/numpy/numpy/pull/11902>`__: BUG: Fix matrix PendingDeprecationWarning suppression for pytest... * `#11981 <https://github.com/numpy/numpy/pull/11981>`__: BUG: fix cached allocations without the GIL for 1.15.x * `#11982 <https://github.com/numpy/numpy/pull/11982>`__: BUG: fix refcount leak in PyArray_AdaptFlexibleDType * `#11992 <https://github.com/numpy/numpy/pull/11992>`__: BUG: Ensure boolean indexing of subclasses sets base correctly. Cheers, Charles Harris

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