Python-announce-list May 2019

python-announce-list@python.org

20 participants
41 discussions

[baseline 0.2.1] Easy String Baseline
by Dan Gass 29 Mar '20

29 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 06 Mar '20

06 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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ANN: Datatest 0.9.4 Released
by Shawn Brown 02 Jun '19

02 Jun '19

Datatest provides tools for test driven data-wrangling and data validation. It supports both pytest and unittest style testing. I've been working to get datatest ready for a few pre-PyCon updates. This latest release takes many of the "how-to" solutions and brings them into the core package. * Docs - https://datatest.readthedocs.io/ * PyPI - https://pypi.org/project/datatest/ * Devel - https://github.com/shawnbrown/datatest Upgrade an existing installation to 0.9.4: pip install --upgrade datatest What's New in Datatest 0.9.4: * Added Python 3.8 testing and support. * Added new validate methods (moved from how-to recipes into core module): * Added approx() method to require for approximate numeric equality. * Added fuzzy() method to require strings by approximate match. * Added interval() method to require elements within a given interval. * Added set(), subset(), and superset() methods for explicit membership checking. * Added unique() method to require unique elements. * Added order() method to require elements by relative order. * Changed default sequence validation to check elements by index position rather than checking by relative order. * Added fuzzy-matching allowance to allow strings by approximate match. * Added Predicate class to formalize behavior--also provides inverse-matching with the inversion operator (~). * Added new methods to Query class: * Added unwrap() to remove single-element containers and return their unwrapped contents. * Added starmap() to unpack grouped arguments when applying a function to elements. * Fixed improper use of assert statements with appropriate conditional checks and error behavior. * Added requirement class hierarchy (using BaseRequirement). This gives users a cleaner way to implement custom validation behavior and makes the underlying codebase easier to maintain. * Changed name of ProxyGroup to RepeatingContainer. * Changed "How To" examples to use the new validation methods.

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Wing Python IDE 7.0.3 released
by Wingware 31 May '19

31 May '19

Hi, Wing 7.0.3 has been released. This is a minor release that includes the following fixes and improvements: * Fix analysis when using Python 3 on a remote host * Fix several cases where valid imports could not be resolved * Improve default display scaling on Linux * Correctly omit types and methods from debug data display * Fix comparing remote files and buffer to remote disk * Fix searching documentation in Search in Files * Fix a number of other minor issues You can obtain this release with Check for Updates in Wing 7's Help menu or download it now <https://wingware.com/downloads>. New in Wing 7 Wing 7 introduces an improved code warnings and code quality inspection system that includes built-in error detection and tight integration with Pylint, pep8, and mypy. This release also adds a new data frame and array viewer, a MATLAB keyboard personality, easy inline debug data display with Shift-Space, improved stack data display, support for PEP 3134 chained exceptions, callouts for search and other code navigation features, four new color palettes, improved bookmarking, a high-level configuration menu, magnified presentation mode, a new update manager, stepping over import internals, simplified remote agent installation, and much more. For details see What's New in Wing 7 <https://wingware.com/wingide/whatsnew> Wing 7 Screen Shot Try Wing 7 Now! Wing 7 is a an exciting new step for Wingware's Python IDE product line. Find out how Wing 7 can turbocharge your Python development by trying it today. *Download Wing 7.0.3:* Wing Pro <https://wingware.com/downloads/wing-pro/7.0/binaries> | Wing Personal <https://wingware.com/downloads/wing-personal/7.0/binaries> | Wing 101 <https://wingware.com/downloads/wing-101/7.0/binaries> | Compare Products <https://wingware.com/downloads> Wing 7 installs side by side with earlier versions of Wing, so there is no need to remove old versions in order to try it. Wing 7 will read and convert your old preferences, settings, and projects. Projects should be saved to a new name since earlier versions of Wing cannot read Wing 7 projects. See Upgrading <https://wingware.com/doc/install/upgrading> for details and Migrating from Older Versions <https://wingware.com/doc/install/migrating> for a list of compatibility notes.

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EuroPython 2019: PyData EuroPython 2019
by M.-A. Lemburg 31 May '19

31 May '19

We are happy to announce a complete PyData track at EuroPython 2019: * PyData EuroPython 2019 * https://ep2019.europython.eu/events/pydata-europython-2019/ The PyData track will be part of EuroPython 2019, so you won’t need to buy an extra ticket to attend. The PyData track is run in cooperation with NumFocus. There are two full tracks featuring more than 30 talks and 4 trainings: - 4 trainings on Monday and Tuesday (July 8-9) - 34 talks on Wednesday and Thursday (July 10-11) - no PyData talks on Friday (July 12) The full program is available on our PyData EuroPython 2019 page. https://ep2019.europython.eu/events/pydata-europython-2019/ If you’d like to attend PyData EuroPython 2019, please register for EuroPython 2019 soon: https://ep2019.europython.eu/registration/buy-tickets/ Dates and Venues ---------------- EuroPython will be held from July 8-14 2019 in Basel, Switzerland, at the Congress Center Basel (CCB) for the main conference days (Wed-Fri) and the FHNW Muttenz for the workshops/trainings/sprints days (Mon-Tue, Sat-Sun). Tickets can be purchased on our registration page: https://ep2019.europython.eu/registration/buy-tickets/ For more details, please have a look at our website and the FAQ: https://ep2019.europython.eu/faq 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/185265747827/pydata-europython-2019 Tweet: https://twitter.com/europython/status/1134358461335199749 Enjoy, -- EuroPython 2019 Team https://ep2019.europython.eu/ https://www.europython-society.org/

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PyCA cryptography 2.7 released
by Paul Kehrer 30 May '19

30 May '19

PyCA cryptography 2.7 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, asymmetric algorithms, message digests, X509, key derivation functions, and much more. We support Python 2.7, Python 3.4+, and PyPy. Changelog (https://cryptography.io/en/latest/changelog/#v2-7): * Updated Windows, macOS, and manylinux1 wheels to be compiled with OpenSSL 1.1.1c. * BACKWARDS INCOMPATIBLE: We no longer distribute 32-bit manylinux1 wheels. Continuing to produce them was a maintenance burden. * BACKWARDS INCOMPATIBLE: Removed the cryptography.hazmat.primitives.mac.MACContext interface. The CMAC and HMAC APIs have not changed, but they are no longer registered as MACContext instances. * Removed support for running our tests with setup.py test. Users interested in running our tests can continue to follow the directions in our development documentation. * Add support for Poly1305 when using OpenSSL 1.1.1 or newer. * Support serialization with Encoding.OpenSSH and PublicFormat.OpenSSH in Ed25519PublicKey.public_bytes . * Correctly allow passing a SubjectKeyIdentifier to from_issuer_subject_key_identifier() and deprecate passing an Extension object. The documentation always required SubjectKeyIdentifier but the implementation previously required an Extension. -Paul Kehrer (reaperhulk)

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NumPy 1.16.4 released.
by Charles R Harris 28 May '19

28 May '19

Charles R Harris <charlesr.harris(a)gmail.com> Apr 21, 2019, 8:39 PM to numpy-discussion, SciPy, SciPy-User, bcc: python-announce-list Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.16.4 which contains several fixes for newly reported bugs. The Python versions supported in this release are 2.7 and 3.5-3.7. Downstream developers building this release should use Cython >= 0.29.2 and, if using OpenBLAS, OpenBLAS > v0.3.7. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.16.4/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.16.4>. If you are installing using pip, you may encounter a problem with older installed versions of NumPy that pip did not delete becoming mixed with the current version, resulting in an ``ImportError``. That problem is particularly common on Debian derived distributions due to a modified pip. The fix is to make sure all previous NumPy versions installed by pip have been removed. See #12736 <https://github.com/numpy/numpy/issues/12736> for discussion of the issue. *Contributors* A total of 10 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - Charles Harris - Eric Wieser - Dennis Zollo + - Hunter Damron + - Jingbei Li + - Kevin Sheppard - Matti Picus - Nicola Soranzo + - Sebastian Berg - Tyler Reddy *Pull requests merged* A total of 16 pull requests were merged for this release. - gh-13392: BUG: Some PyPy versions lack PyStructSequence_InitType2. - gh-13394: MAINT, DEP: Fix deprecated ``assertEquals()`` - gh-13396: BUG: Fix structured_to_unstructured on single-field types (backport) - gh-13549: BLD: Make CI pass again with pytest 4.5 - gh-13552: TST: Register markers in conftest.py. - gh-13559: BUG: Removes ValueError for empty kwargs in arraymultiter_new - gh-13560: BUG: Add TypeError to accepted exceptions in crackfortran. - gh-13561: BUG: Handle subarrays in descr_to_dtype - gh-13562: BUG: Protect generators from log(0.0) - gh-13563: BUG: Always return views from structured_to_unstructured when... - gh-13564: BUG: Catch stderr when checking compiler version - gh-13565: BUG: longdouble(int) does not work - gh-13587: BUG: distutils/system_info.py fix missing subprocess import (#13523) - gh-13620: BUG,DEP: Fix writeable flag setting for arrays without base - gh-13641: MAINT: Prepare for the 1.16.4 release. - gh-13644: BUG: special case object arrays when printing rel-, abs-error Cheers, Charles Harris

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ANN: Bokeh 1.2 Released
by Bryan Van de Ven 28 May '19

28 May '19

On behalf of the Bokeh team I am pleased to announce the release of version 1.2 of Bokeh! Please read all about it in the announcement post at: https://blog.bokeh.org/posts/release-1-2-0 If you are using Anaconda/miniconda, you can install it with conda: conda install -c bokeh bokeh Alternatively, you can also install it with pip: pip install bokeh Full information including details about how to use and obtain BokehJS are at: https://bokeh.pydata.org/en/latest/docs/installation.html Full documentation is available at: https://bokeh.pydata.org Community support is available at: https://discourse.bokeh.org/ Contributions can be made on Github: https://github.com/bokeh/bokeh There are now 360 total contributors to Bokeh and their time and effort help make Bokeh such an amazing project and community. Thank you again for your contributions. If you are interested in contributing, please come by the Bokeh dev chat room: https://gitter.im/bokeh/bokeh-dev Thanks, Bryan Van de Ven

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EuroPython 2019: Please configure your tickets
by M.-A. Lemburg 28 May '19

28 May '19

Since our website was updated this year, we would like to remind you how you can configure your tickets and profiles, so that we get the right information for printing badges and adjusting catering counts. We also had a few issues with the ticket configuration and assignments last week. As a result, some of the ticket name changes you may have made were lost. Please do consider assigning tickets to other rather than just changing the name on the ticket, since that way, we receive information about the new ticket owner’s preferences as well. Please see our blog post for full details ----------------------------------------- https://blog.europython.eu/post/185197692557/europython-2019-please-configu… It covers these topics: - Assigning tickets to other people - Configuring your ticket - Printing your invoice - Configuring your EuroPython account - profile - privacy settings Dates and Venues ---------------- EuroPython will be held from July 8-14 2019 in Basel, Switzerland, at the Congress Center Basel (CCB) for the main conference days (Wed-Fri) and the FHNW Muttenz for the workshops/trainings/sprints days (Mon-Tue, Sat-Sun). Tickets can be purchased on our registration page: https://ep2019.europython.eu/registration/buy-tickets/ For more details, please have a look at our website and the FAQ: https://ep2019.europython.eu/faq 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/185197692557/europython-2019-please-configu… Tweet: https://twitter.com/europython/status/1133318559776608256 Enjoy, -- EuroPython 2019 Team https://ep2019.europython.eu/ https://www.europython-society.org/

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EuroPython 2019 Django Girls Workshop
by M.-A. Lemburg 28 May '19

28 May '19

Would you like to know about how to build websites, how the internet works and would you like to try programming your own first blog, but don’t know where to start? We have good news for you: we are holding a one-day Django Girls workshop for beginners ! * https://ep2019.europython.eu/events/django-girls/ * Where and when -------------- The workshop will be held on Monday, July 8th in the EuroPython 2019 conference venue FHNW Campus Muttenz from 09:30 – 17:00. What to expect -------------- During the workshop you will work through a tutorial in a small group of three attendees and one coach. Our coaches are software developers who contribute their time, knowledge and energy for you and Django Girls. All you need is a working laptop, and we’ll help you with the rest. You can attend the workshop for free! Your motivation counts, let us know about it in your application. Registering for the workshop ---------------------------- The workshop is aimed at women with little or no programming experience, but may also be useful if you’ve learned a different discipline (like data science) and would like to learn how to build websites with Django. The workshop is free to attend, but you have to apply and be accepted. We only have 30 seats available for the workshop, and we’ll pick the best applicants based on the information you provide you provide on the form. If you’d like to attend: apply here: https://djangogirls.org/basel/ Workshop coaches ---------------- We can’t run this workshop without coaches! A coach will be assigned to each group of 3 attendees. Their job is to support and encourage their team as they work through the Django Girls tutorial at their own pace. If you’d like to apply to be a coach, please sign up here: https://djangogirls.org/basel/ Sponsors of EuroPython 2019 Django Girls Workshop ------------------------------------------------- - The EuroPython Society is providing the room and catering in our training venue, the FHNW Campus Muttenz. - Nexmo will provide the Django Girls workshop box. - EntwicklerHeld will provide t-shirts for our coaches. More information is available on our Django Girls page: https://ep2019.europython.eu/events/django-girls/ Dates and Venues ---------------- EuroPython will be held from July 8-14 2019 in Basel, Switzerland, at the Congress Center Basel (BCC) for the main conference days (Wed-Fri) and the FHNW Muttenz for the workshops/trainings/sprints days (Mon-Tue, Sat-Sun). Tickets can be purchased on our registration page: https://ep2019.europython.eu/registration/buy-tickets/ For more details, please have a look at our website and the FAQ: https://ep2019.europython.eu/faq 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/185195491022/europython-2019-django-girls-w… Tweet: https://twitter.com/europython/status/1133271891974615046 Enjoy, -- EuroPython 2019 Team https://ep2019.europython.eu/ https://www.europython-society.org/

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Python-announce-list May 2019