Mailman 3 February 2019 - 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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[ANN] 12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019
by Tiziano Zito Feb. 28, 2019

Feb. 28, 2019

12ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the University of Camerino https://python.g-node.org Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 2–7 September, 2019. Camerino, Italy. Application =========== You can apply online: https://python.g-node.org/wiki/applications Application deadline: 23:59 UTC, 26 May, 2019. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://python.g-node.org/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Tidy data analysis and visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark • Juan Nunez-Iglesias, Bioimage Analysis Research Fellow, Monash University, Australia • Nelle Varoquaux, Department of Statistics, UC Berkeley, CA, USA • Pamela Hathway, Neural Reckoning, Imperial College London, UK • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node), Germany: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw, Poland • Jakob Jordan, Department of Physiology, University of Bern, Switzerland For the University of Camerino, Italy: • Barbara Re, Computer Science Division, School of Science and Technology, University of Camerino Italy Website: https://python.g-node.org Contact: python-info(a)g-node.org

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PyCA cryptography 2.6.1 released
by Paul Kehrer Feb. 27, 2019

Feb. 27, 2019

PyCA cryptography 2.6.1 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/#v2-6-1): * Resolved an error in our build infrastructure that broke our Python3 wheels for macOS and Linux. -Paul Kehrer (reaperhulk)

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PyCA cryptography 2.6
by Alex Gaynor Feb. 27, 2019

Feb. 27, 2019

PyCA cryptography 2.5 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/#v2-6): - *BACKWARDS INCOMPATIBLE:* Removed cryptography.hazmat.primitives.asymmetric.utils.encode_rfc6979_signature and cryptography.hazmat.primitives.asymmetric.utils.decode_rfc6979_signature, which had been deprecated for nearly 4 years. Use encode_dss_signature() <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/utils/#crypt…> and decode_dss_signature() <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/utils/#crypt…> instead. - *BACKWARDS INCOMPATIBLE*: Removed cryptography.x509.Certificate.serial, which had been deprecated for nearly 3 years. Use serial_number <https://cryptography.io/en/latest/x509/reference/#cryptography.x509.Certifi…> instead. - Updated Windows, macOS, and manylinux1 wheels to be compiled with OpenSSL 1.1.1b. - Added support for Ed448 signing <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/ed448/> when using OpenSSL 1.1.1b or newer. - Added support for Ed25519 signing <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/ed25519/> when using OpenSSL 1.1.1b or newer. - load_ssh_public_key() <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/serializatio…> can now load ed25519 public keys. - Add support for easily mapping an object identifier to its elliptic curve class viaget_curve_for_oid() <https://cryptography.io/en/latest/hazmat/primitives/asymmetric/ec/#cryptogr…> . - Add support for OpenSSL when compiled with the no-engine ( OPENSSL_NO_ENGINE) flag. Alex -- All that is necessary for evil to succeed is for good people to do nothing.

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NumPy 1.16.2 released.
by Charles R Harris Feb. 26, 2019

Feb. 26, 2019

Hi All, On behalf of the NumPy team I am pleased to announce the release of NumPy 1.16.2. This is a quick release fixing several problems encountered on Windows. The Python versions supported are 2.7 and 3.5-3.7. The Windows problems addressed are: - DLL load problems for NumPy wheels on Windows, - distutils command line parsing on Windows. There is also a regression fix correcting signed zeros produced by divmod, see the release notes for details. Downstream developers building this release should use Cython >= 0.29.2 and, if using OpenBLAS, OpenBLAS > v0.3.4. 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. Wheels for this release can be downloaded from PyPI <https://pypi.org/project/numpy/1.16.2/>, source archives and release notes are available from Github <https://github.com/numpy/numpy/releases/tag/v1.16.2>. *Contributors* A total of 5 people contributed to this release. People with a "+" by their names contributed a patch for the first time. * Charles Harris * Eric Wieser * Matti Picus * Tyler Reddy * Tony LaTorre + *Pull requests merged* A total of 7 pull requests were merged for this release. * #12909: TST: fix vmImage dispatch in Azure * #12923: MAINT: remove complicated test of multiarray import failure mode * #13020: BUG: fix signed zero behavior in npy_divmod * #13026: MAINT: Add functions to parse shell-strings in the platform-native... * #13028: BUG: Fix regression in parsing of F90 and F77 environment variables * #13038: BUG: parse shell escaping in extra_compile_args and extra_link_args * #13041: BLD: Windows absolute path DLL loading Cheers, Charles Harris

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[RELEASE] Python 3.8.0a1 is now available for testing
by Łukasz Langa Feb. 25, 2019

Feb. 25, 2019

I packaged another release. Go get it here: https://www.python.org/downloads/release/python-380a2/ Python 3.8.0a2 is the second of four planned alpha releases of Python 3.8, the next feature release of Python. During the alpha phase, Python 3.8 remains under heavy development: additional features will be added and existing features may be modified or deleted. Please keep in mind that this is a preview release and its use is not recommended for production environments. The next preview release, 3.8.0a3, is planned for 2019-03-25. This time around the stable buildbots were a bit less green than they should have. This early in the cycle, I didn't postpone the release and I didn't use the revert hammer. But soon enough, I will. Let's make sure future changes keep the buildbots happy. - Ł

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[ANN] PyYAML-5.1b1: YAML parser and emitter for Python
by Ingy dot Net Feb. 25, 2019

Feb. 25, 2019

======================= Announcing PyYAML-5.1b1 (First beta release) ======================= The first beta release of PyYAML-5.1 has been uploaded to pypi.org. The final release is expected to land in the next 2 weeks. Normally we would only announce the final release, but this one has been a long time coming and has major changes, so we want people to know about the release process early on. A new MAJOR RELEASE of PyYAML is now available: https://pypi.org/project/PyYAML/ This is the first major release of PyYAML under the new maintenance team. Among the many changes listed below, this release specifically addresses the arbitrary code execution issue raised by: https://nvd.nist.gov/vuln/detail/CVE-2017-18342 (See https://github.com/yaml/pyyaml/wiki/PyYAML-yaml.load(input)-Deprecation for complete details). The PyYAML project is now maintained by the YAML and Python communities. Planning happens on the #yaml-dev, #pyyaml and #libyaml IRC channels on irc.freenode.net. Changes ======= * https://github.com/yaml/pyyaml/pull/35 -- Some modernization of the test running * https://github.com/yaml/pyyaml/pull/42 -- Install tox in a virtualenv * https://github.com/yaml/pyyaml/pull/45 -- Allow colon in a plain scalar in a flow context * https://github.com/yaml/pyyaml/pull/48 -- Fix typos * https://github.com/yaml/pyyaml/pull/55 -- Improve RepresenterError creation * https://github.com/yaml/pyyaml/pull/59 -- Resolves #57, update readme issues link * https://github.com/yaml/pyyaml/pull/60 -- Document and test Python 3.6 support * https://github.com/yaml/pyyaml/pull/61 -- Use Travis CI built in pip cache support * https://github.com/yaml/pyyaml/pull/62 -- Remove tox workaround for Travis CI * https://github.com/yaml/pyyaml/pull/63 -- Adding support to Unicode characters over codepoint 0xffff * https://github.com/yaml/pyyaml/pull/65 -- Support unicode literals over codepoint 0xffff * https://github.com/yaml/pyyaml/pull/75 -- add 3.12 changelog * https://github.com/yaml/pyyaml/pull/76 -- Fallback to Pure Python if Compilation fails * https://github.com/yaml/pyyaml/pull/84 -- Drop unsupported Python 3.3 * https://github.com/yaml/pyyaml/pull/102 -- Include license file in the generated wheel package * https://github.com/yaml/pyyaml/pull/105 -- Removed Python 2.6 & 3.3 support * https://github.com/yaml/pyyaml/pull/111 -- Remove commented out Psyco code * https://github.com/yaml/pyyaml/pull/129 -- Remove call to `ord` in lib3 emitter code * https://github.com/yaml/pyyaml/pull/143 -- Allow to turn off sorting keys in Dumper * https://github.com/yaml/pyyaml/pull/149 -- Test on Python 3.7-dev * https://github.com/yaml/pyyaml/pull/158 -- Support escaped slash in double quotes "\/" * https://github.com/yaml/pyyaml/pull/256 -- Make default_flow_style=False * https://github.com/yaml/pyyaml/pull/257 -- Deprecate yaml.load and add FullLoader and UnsafeLoader classes Resources ========= PyYAML IRC Channel: #pyyaml on irc.freenode.net PyYAML homepage: https://github.com/yaml/pyyaml PyYAML documentation: http://pyyaml.org/wiki/PyYAMLDocumentation Source and binary installers: https://pypi.org/project/PyYAML/ GitHub repository: https://github.com/yaml/pyyaml/ Bug tracking: https://github.com/yaml/pyyaml/issues YAML homepage: http://yaml.org/ YAML-core mailing list: http://lists.sourceforge.net/lists/listinfo/yaml-core About PyYAML ============ YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python. PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object. PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence. Example ======= >>> import yaml >>> yaml.load(""" ... name: PyYAML ... description: YAML parser and emitter for Python ... homepage: https://github.com/yaml/pyyaml ... keywords: [YAML, serialization, configuration, persistence, pickle] ... """) {'keywords': ['YAML', 'serialization', 'configuration', 'persistence', 'pickle'], 'homepage': 'https://github.com/yaml/pyyaml', 'description': 'YAML parser and emitter for Python', 'name': 'PyYAML'} >>> print yaml.dump(_) name: PyYAML homepage: https://github.com/yaml/pyyaml description: YAML parser and emitter for Python keywords: [YAML, serialization, configuration, persistence, pickle] Maintainers =========== The following people are currently responsible for maintaining PyYAML: * Ingy döt Net * Tina Mueller * Matt Davis and many thanks to all who have contribributed! See: https://github.com/yaml/pyyaml/pulls Copyright ========= Copyright (c) 2017-2019 Ingy döt Net <ingy(a)ingy.net> Copyright (c) 2006-2016 Kirill Simonov <xi(a)resolvent.net> The PyYAML module was written by Kirill Simonov <xi(a)resolvent.net>. It is currently maintained by the YAML and Python communities. PyYAML is released under the MIT license. See the file LICENSE for more details.

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Pyto: Open Source iOS app to code Python with NumPy, Pandas & Matplotlib
by Adrian Labbe Feb. 23, 2019

Feb. 23, 2019

Hello! I wanted to announce here a "new" iOS app for coding Python: Pyto. It's available on the App Store and is open source. Features ===================== The app has a file browser with scripts, a code editor with syntax coloring and smart code completion and a console that supports input. It also has a REPL. Themes can be applied for the whole app. Debugger ===================== Scripts can be debugged with PDB and breakpoints can be set from the editor. Apple APIs with Python ===================== A module is pre-installed for accessing Objective-C class. An 'UIKit' module is written on top of it with all UIKit classes and an 'ui' module allows showing user interfaces created with Apple APIs. C Extensions ===================== iOS restrictions make impossible to load dynamic libraries outside the app bundle, so no module with C code can be installed, like NumPy, Pandas and Matplotlib. So, the main goal of this app is to provide latest versions of most popular libraries that have C code and cannot be installed by the user. The app has NumPy 1.16.1, Pandas 0.24.1 and Matplotlib 0.24.1. Matplotlib supports displaying figures on the console. Other pure Python modules ===================== Other pure Python modules can be installed with a minimal version of pip. Links ===================== Source code: https://github.com/ColdGrub1384/Pyto [https://avatars0.githubusercontent.com/u/19255527?s=400&v=4]<https://github.com/ColdGrub1384/Pyto> ColdGrub1384/Pyto<https://github.com/ColdGrub1384/Pyto> Python IDE for iOS and macOS with, NumPy, Matplotlib, Pandas and UIKit support - ColdGrub1384/Pyto github.com App Store: https://itunes.apple.com/us/app/pyto-python-ide/id1436650069?ls=1&mt=8 Home page: https://develobile.com/pyto/ [https://is3-ssl.mzstatic.com/image/thumb/Purple124/v4/9b/e8/9d/9be89dd6-f54…]<https://itunes.apple.com/us/app/pyto-python-ide/id1436650069?ls=1&mt=8> ‎Pyto - Python IDE on the App Store - itunes.apple.com<https://itunes.apple.com/us/app/pyto-python-ide/id1436650069?ls=1&mt=8> Pyto is a Python 3.7 IDE for iPhone an iPad. You can run code directly on your device and offline. Features: - Python 3.7 with all default libraries like "sys" itunes.apple.com

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Nikola v8.0.2 is out!
by Chris Warrick Feb. 22, 2019

Feb. 22, 2019

On behalf of the Nikola team, I am pleased to announce the immediate availability of Nikola v8.0.2. This is a quality-of-life release with a handful of bug fixes, two new translations and a few extra features. 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 ======= * Make ``ARCHIVE_PATH``, ``ARCHIVE_FILENAME`` translatable (Issue #3234) * Support configuring Isso via ``GLOBAL_CONTEXT['isso_config']`` (Issue #3225) * Handle fragments in doc role (Issue #3212) * Slugify references in doc role. * Add Interlingua translation by Alberto Mardegan * Add Afrikaans translation by Friedel Wolff * Support for docutils.conf (Issue #3188) Bugfixes -------- * Avoid random rebuilds with sites whose locales are not fullly supported, and random rebuilds on multilingual sites using Python 3.4/3.5 (Issue #3216) * Apply modifications to ``default_metadata`` before copying it to other languages * Make Commento comments work (Issue #3198) * Correctly handle separators in the relative path given to "ignored_assets" key in theme meta files (Issue #3210) * Fix error when ``nikola new_post`` receives directory name as path (Issue #3207) * Add slashes to paths with query strings in ``nikola serve`` only if there isn’t one before ``?`` * Read listings files as UTF-8 * Set one-file status basing on default language only (Issue #3191) * Don’t warn if post status is set to ``published`` explicitly (Issue #3181) * Remove mention of Twitter cards requiring an opt-in. This is not true anymore - anyone can use them. * fancydates now workwith listdate items (eg. archives) * bootstrap4 and bootblog4 themes no longer load moment.js when fancydates are off. (Issue #3231)

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