Python-announce-list March 2020

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22 participants
29 discussions

by Dan Gass

I am please to announce the availability of the first beta release of the "plum-py" package. This package provides classes and utility functions to efficiently pack and unpack bytes similar to what the standard library `struct` module offers. This package expands significantly on that capability with much more powerful and convenient access and control of bytes within a buffer (including handling variable size/type relationships within the buffer data). The package provides a large number of fundamental types (e.g. numbers, structures, arrays, etc.) for specifying buffer data structure. Each type conforms to a "plug-and-play" architecture facilitating the ability to be combined in any way, including deeply nested structures of arbitrary type. You may also write your own custom types that conform to the "plug-and-play" architecture API and use them in combination with any of the fundamental types provided. Docs: https://plum-py.readthedocs.io/en/latest/index.html PyPi: https://pypi.org/project/plum-py/ Repo: https://gitlab.com/dangass/plum License: MIT With Regards, Dan Gass (dan.gass at gmail)

1 year

ANN: SfePy 2020.1

by Robert Cimrman

I am pleased to announce release 2020.1 of SfePy. Description ----------- SfePy (simple finite elements in Python) is a software for solving systems of coupled partial differential equations by the finite element method or by the isogeometric analysis (limited support). It is distributed under the new BSD license. Home page: http://sfepy.org Mailing list: https://mail.python.org/mm3/mailman3/lists/sfepy.python.org/ Git (source) repository, issue tracker: https://github.com/sfepy/sfepy Highlights of this release -------------------------- - reading/writing of additional mesh formats by using meshio [2] - Python 3 only from now on For full release notes see [1]. Cheers, Robert Cimrman [1] http://docs.sfepy.org/doc/release_notes.html#id1 [2] https://github.com/nschloe/meshio --- Contributors to this release in alphabetical order: Robert Cimrman Lubos Kejzlar Vladimir Lukes

1 year

EuroPython 2020: Online conference from July 23-26

by M.-A. Lemburg

In the last two weeks, we have discussed and investigated concepts around running this year’s EuroPython conference as an online conference. We have looked at conference tools, your feedback, drafted up ideas on what we can do to make the event interesting and what we can accomplish given our limited resources. Today, we are happy to announce that we will be running * EuroPython 2020 * from July 23 - 26 2020 as an online conference We are planning the following structure: - 2 conference days with keynotes, talks, lightning talks, poster session (Thursday and Friday) - 2 sprint days with multiple sprint teams (Saturday and Sunday) Attending the conference days will require a ticket, participating in the sprint days will be free. We will publish additional information on the new format as it becomes available. A few updates for today (more details will follow in separate blog posts): Call for Papers (CFP) --------------------- With the new plan in place, we will extend and retarget the CFP we had been running in the last three weeks to the online setup. Please note that we will not have training sessions at EuroPython 2020. We will have keynotes, 30 and 45-minute talks, panels, interactive sessions, as well as try to come up with a format for doing posters and lightning talks. Unlike for our in-person event, speakers will get free tickets to the event, since we don’t have to cover catering costs. We need your help ----------------- Given that we had already put a lot of work into the in-person event organization, a lot of which we’ll now have to adapt or redo for the online set up in the few months ahead of us, we will need more help from the community to make this happen. If you would like to help, please write to board(a)europython.eu. We are specifically looking for people with experience using online conference tools to help host tracks during the conference days. Sponsoring ---------- As for the in-person event, we will have sponsorship packages available for the online event as well. Because the format is different, we’ll have to adjust the packages we had intended for the in-person to an online setup. If you are interested in sponsoring EuroPython 2020, please write to sponsoring(a)europython.eu. We will then send you more details, as they become available. 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/614102095419850752/europython-2020-online-c… Tweet: https://twitter.com/europython/status/1244947459006173184 Thanks, -- EuroPython 2020 Team https://ep2020.europython.eu/ https://www.europython-society.org/

1 year

Python interview summary

by Dasy Dong

I am please to share you with a interview summary[Chinese Language] about python. Mainly covering backend architecture including python principle, design patterns , data structure, Git, Redis, MySql, Spider, ELK,Kafka, Istio, Kubernetes... I will keep updating contents future , If you love the Chinese version, welcome to join contribution Repo: https://github.com/DasyDong/interview_python_practice/ With Regards Dasy -- Python-announce-list mailing list -- python-announce-list(a)python.org To unsubscribe send an email to python-announce-list-leave(a)python.org https://mail.python.org/mailman3/lists/python-announce-list.python.org/ Support the Python Software Foundation: http://www.python.org/psf/donations/

1 year

SonarCloud, SonarQube support Python 3.8, find method signature & visibility issues

by G. Ann Campbell

Hi all, SonarSource is happy to announce support of Python 3.8, including the walrus operator, and 10 new rules related to method signature and visibility. Details here: https://community.sonarsource.com/t/sonarcloud-scans-python-3-8-code-and-de… These improvements are available today on sonarcloud.io, where Python static analysis is free for open source projects. Python analysis is also free in SonarQube, with taint analysis available in commercial editions. These changes will be available in the upcoming SonarQube 8.3. Thx! Ann --- *G. Ann Campbell* | SonarSource *Product Marketing Manager* @GAnnCampbell https://sonarsource.com

1 year

Vulture 1.4

by Jendrik Seipp

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 3.5+ News ==== * Ignore unused import statements in `__init__.py` (RJ722, #192). * Report first decorator's line number for unused decorated objects on Python 3.8+ (RJ722, #200). * Check code with black and pyupgrade. Cheers Jendrik

1 year

[baseline 0.2.1] Easy String Baseline

by Dan Gass

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)

1 year

ANN: python-blosc 1.9.0 released

by Francesc Alted

============================= Announcing python-blosc 1.9.0 ============================= What is new? ============ In this release we got rid of the support for Python 2.7 and 3.5. Also, we fixed the copy of the leftovers of a chunk when its size is not a multiple of the typesize. Although this is a very unusual situation, it can certainly happen (e.g. https://github.com/Blosc/python-blosc/issues/220). Finally, sources for C-Blosc v1.18.1 have been included. For more info, you can have a look at the release notes in: https://github.com/Blosc/python-blosc/blob/master/RELEASE_NOTES.rst More docs and examples are available in the documentation site: http://python-blosc.blosc.org What is it? =========== Blosc (http://www.blosc.org) is a high performance compressor optimized for binary data. It has been designed to transmit data to the processor cache faster than the traditional, non-compressed, direct memory fetch approach via a memcpy() OS call. Blosc works well for compressing numerical arrays that contains data with relatively low entropy, like sparse data, time series, grids with regular-spaced values, etc. python-blosc (http://python-blosc.blosc.org/) is the Python wrapper for the Blosc compression library, with added functions (`compress_ptr()` and `pack_array()`) for efficiently compressing NumPy arrays, minimizing the number of memory copies during the process. python-blosc can be used to compress in-memory data buffers for transmission to other machines, persistence or just as a compressed cache. There is also a handy tool built on top of python-blosc called Bloscpack (https://github.com/Blosc/bloscpack). It features a commmand line interface that allows you to compress large binary datafiles on-disk. It also comes with a Python API that has built-in support for serializing and deserializing Numpy arrays both on-disk and in-memory at speeds that are competitive with regular Pickle/cPickle machinery. Sources repository ================== The sources and documentation are managed through github services at: http://github.com/Blosc/python-blosc ---- **Enjoy data!**

1 year

Jython 2.7.2 released

by Stefan Richthofer

On behalf of the Jython development team, I am pleased to announce that Jython 2.7.2 has been released. Notable additions include: * much improved support for locale, but as a backward-incompatible change, it is provided as an opt-in. * a main program that behaves more like CPython in many small ways, including -i and -E support. * a JAR and POM that may be cited as a dependency by other projects using Gradle or Maven (experimental). * a great many bug-fixes. For the details see: https://www.jython.org/news and the NEWS link there. Convenient download links are at https://www.jython.org/download . Thanks are due to the many contributors to Jython for making this possible. -- Jeff Allen (forwarded from Jython-users, original message at https://sourceforge.net/p/jython/mailman/message/36956522/ -Stefan Richthofer)

1 year

[ANN] Pycopy/pycopy-lib 3.0.5, minimalist Python(-like) implementation

by Paul Sokolovsky

Hello, https://github.com/pfalcon/pycopy Pycopy is a minimalist, lightweight, resource-efficient implementation of Python(-like) language. Pycopy to CPython is the same thing as Scheme to Common Lisp. Executable sizes of 300-400KB, instant startup, no need to carry around large monolithic library consisting largely of legacy modules - some but not all of Pycopy's features. Pycopy 3.x release solves the question of extensibility of Pycopy builtin types (which by default provide subset of CPython functionality) to full CPython compatibility. A couple of pretty large Python applications, originally developed for CPython, now can run with Pycopy. Prebuilt binaries of this release are available at https://github.com/pfalcon/pycopy/releases/tag/v3.0.5 More details about Pycopy ------------------------- Pycopy strives to define a core language features suitable to easily develop efficient software, while allow for extensibility to a wider (and much more bloaty and less efficient) set of features for compatibility with existing software. Pycopy doesn't come with bulky hazardous lead-acid batteries. Instead, a set of a few core modules are included builtin: inspired, being a noticeable subset, and a little bit of extension, of the corresponding CPython modules - clearly namespaced, to still allow room to implement fully compatible CPython modules. These new modules aren't intended to be an adhoc thing, just an alternative API with a constraint of minimality. Implementation of that API also exists for CPython (WIP), allowing Pycopy -> CPython compatibility. The rest is handled outside the core language, via a separate project, pycopy-lib: https://github.com/pfalcon/pycopy-lib , which strives to port CPython stdlib to Pycopy, while, where needed, provide more lightweight module variants and extensions. Pycopy is a full-stack project, with ecosystem including a web micro-framework, pure-Python Python parser, FFMPEG bindings, SDL bindings, LLVM bindings, etc.: https://github.com/topics/pycopy -- Best regards, Paul mailto:pmiscml@gmail.com

1 year

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Python-announce-list March 2020