Mailman 3 January 2020 - Python-announce-list

EuroPython 2020: Pre-launch Website Ready
by M.-A. Lemburg 22 Jan '20

22 Jan '20

In the last couple of weeks we have put together a pre-launch site for EuroPython 2020, which has all the information around the event, as we currently know and can share with you. EuroPython 2020 Pre-launch Website * https://ep2020.europython.eu/ * The main website will go online around early in March and we plan to also open the CFP and ticket sales around that time. It will use the same URL, so you can keep this bookmarked. Some additional updates: ------------------------ - We have signed the venue agreement, so if you have waited with your flight and hotel bookings for the final confirmation of the conference dates, you can now go ahead. Looking at the hotel booking websites, it’s probably a good idea to book early. - We will now enter negotiations with the booth builder and finalize the sponsorship packages. As last year, we’ll again offer an early bird 10% discount for sponsors who sign up in the first few weeks after we’ve published the finalized packages on our blog. 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/190400850572/europython-2020-pre-launch-web… Tweet: https://twitter.com/europython/status/1219937518738661376 Enjoy, -- EuroPython 2020 Team https://ep2020.europython.eu/ https://www.europython-society.org/

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Wing Python IDE 7.2 released
by Wingware 21 Jan '20

21 Jan '20

Wing 7.2 has been released. This version adds auto-formatting with Black and YAPF, expanded support for virtualenv, support for Anaconda environments, easier debugging of modules launched with python -m, simplified manually configured remote debugging, and other improvements. == Auto-Reformatting with Black and YAPF (Wing Pro) == Wing 7.2 adds support for Black and YAPF for code reformatting, in addition to the previously available built-in autopep8 reformatting. To use Black or YAPF, they must first be installed into your Python with pip, conda, or other package manager. Reformatting options are available from the Source > Reformatting menu group, and automatic reformatting may be configured in the Editor > Auto-reformatting preferences group. Details: https://wingware.com/doc/edit/auto-reformatting == Improved Support for Virtualenv == Wing 7.2 improves support for virtualenv by allowing the command that activates the environment to be entered in the Python Executable in Project Properties, Launch Configurations, and when creating new projects. The New Project dialog now also includes the option to create a new virtualenv along with the new project, optionally specifying packages to install. Details: https://wingware.com/doc/howtos/virtualenv == Support for Anaconda Environments == Similarly, Wing 7.2 adds support for Anaconda environments, so the conda activate command can be entered when configuring the Python Executable and the New Project dialog supports using an existing Anaconda environment or creating a new one along with the project. Details: https://wingware.com/doc/howtos/anaconda == And More == Wing 7.2 also makes it easier to debug modules with python -m, simplifies manual configuration of remote debugging, allows using a command line for the configured Python Executable, and fixes a number of usability issues. For details see the change log: https://wingware.com/pub/wingpro/7.2.0.1/CHANGELOG.txt For a complete list of new features in Wing 7, see What's New in Wing 7: https://wingware.com/wingide/whatsnew == Downloads == Wing Pro: https://wingware.com/downloads/wing-pro/7.2/binaries Wing Personal: https://wingware.com/downloads/wing-personal/7.2/binaries Wing 101: https://wingware.com/downloads/wing-101/7.2/binaries Compare products: https://wingware.com/downloads See https://wingware.com/doc/install/upgrading for details on upgrading from Wing 6 and earlier, and https://wingware.com/doc/install/migrating for a list of compatibility notes.

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ANN: SciPy 1.2.3 (LTS)
by Tyler Reddy 21 Jan '20

21 Jan '20

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Hi all, On behalf of the SciPy development team I'm pleased to announce the release of SciPy 1.2.3, which is a bug fix release. This is part of the long-term support (LTS) branch that includes Python 2.7. Sources and binary wheels can be found at: https://pypi.org/project/scipy/ and at: https://github.com/scipy/scipy/releases/tag/v1.2.3 One of a few ways to install this release with pip: pip install scipy==1.2.3 ========================== SciPy 1.2.3 Release Notes ========================== SciPy 1.2.3 is a bug-fix release with no new features compared to 1.2.2. It is part of the long-term support (LTS) release series for Python 2.7. Authors ======= * Geordie McBain * Matt Haberland * David Hagen * Tyler Reddy * Pauli Virtanen * Eric Larson * Yu Feng * ananyashreyjain * Nikolay Mayorov * Evgeni Burovski * Warren Weckesser Issues closed for 1.2.3 -------------------------------- * `#4915 <https://github.com/scipy/scipy/issues/4915>`__: Bug in unique_roots in scipy.signal.signaltools.py for roots with same magnitude * `#5546 <https://github.com/scipy/scipy/issues/5546>`__: ValueError raised if scipy.sparse.linalg.expm recieves array larger than 200x200 * `#7117 <https://github.com/scipy/scipy/issues/7117>`__: Warn users when using float32 input data to curve_fit and friends * `#7906 <https://github.com/scipy/scipy/issues/7906>`__: Wrong result from scipy.interpolate.UnivariateSpline.integral for out-of-bounds * `#9581 <https://github.com/scipy/scipy/issues/9581>`__: Least-squares minimization fails silently when x and y data are different types * `#9901 <https://github.com/scipy/scipy/issues/9901>`__: lsoda fails to detect stiff problem when called from solve_ivp * `#9988 <https://github.com/scipy/scipy/issues/9988>`__: doc build broken with Sphinx 2.0.0 * `#10303 <https://github.com/scipy/scipy/issues/10303>`__: BUG: optimize: `linprog` failing TestLinprogSimplexBland::test_unbounded_below_no_presolve_corrected * `#10376 <https://github.com/scipy/scipy/issues/10376>`__: TST: Travis CI fails (with pytest 5.0 ?) * `#10384 <https://github.com/scipy/scipy/issues/10384>`__: CircleCI doc build failing on new warnings * `#10535 <https://github.com/scipy/scipy/issues/10535>`__: TST: master branch CI failures * `#11121 <https://github.com/scipy/scipy/issues/11121>`__: Calls to `scipy.interpolate.splprep` increase RAM usage. * `#11198 <https://github.com/scipy/scipy/issues/11198>`__: BUG: sparse eigs (arpack) shift-invert drops the smallest eigenvalue for some k * `#11266 <https://github.com/scipy/scipy/issues/11266>`__: Sparse matrix constructor data type detection changes on Numpy 1.18.0 Pull requests for 1.2.3 -------------------------------- * `#9992 <https://github.com/scipy/scipy/pull/9992>`__: MAINT: Undo Sphinx pin * `#10071 <https://github.com/scipy/scipy/pull/10071>`__: DOC: reconstruct SuperLU permutation matrices avoiding SparseEfficiencyWarning * `#10076 <https://github.com/scipy/scipy/pull/10076>`__: BUG: optimize: fix curve_fit for mixed float32/float64 input * `#10138 <https://github.com/scipy/scipy/pull/10138>`__: BUG: special: Invalid arguments to ellip_harm can crash Python. * `#10306 <https://github.com/scipy/scipy/pull/10306>`__: BUG: optimize: Fix for 10303 * `#10309 <https://github.com/scipy/scipy/pull/10309>`__: BUG: Pass jac=None directly to lsoda * `#10377 <https://github.com/scipy/scipy/pull/10377>`__: TST, MAINT: adjustments for pytest 5.0 * `#10379 <https://github.com/scipy/scipy/pull/10379>`__: BUG: sparse: set writeability to be forward-compatible with numpy>=1.17 * `#10426 <https://github.com/scipy/scipy/pull/10426>`__: MAINT: Fix doc build bugs * `#10540 <https://github.com/scipy/scipy/pull/10540>`__: MAINT: Fix Travis and Circle * `#10633 <https://github.com/scipy/scipy/pull/10633>`__: BUG: interpolate: integral(a, b) should be zero when both limits are outside of the interpolation range * `#10833 <https://github.com/scipy/scipy/pull/10833>`__: BUG: Fix subspace_angles for complex values * `#10882 <https://github.com/scipy/scipy/pull/10882>`__: BUG: sparse/arpack: fix incorrect code for complex hermitian M * `#10906 <https://github.com/scipy/scipy/pull/10906>`__: BUG: sparse/linalg: fix expm for np.matrix inputs * `#10961 <https://github.com/scipy/scipy/pull/10961>`__: BUG: Fix signal.unique_roots * `#11126 <https://github.com/scipy/scipy/pull/11126>`__: BUG: interpolate/fitpack: fix memory leak in splprep * `#11199 <https://github.com/scipy/scipy/pull/11199>`__: BUG: sparse.linalg: mistake in unsymm. real shift-invert ARPACK eigenvalue selection * `#11269 <https://github.com/scipy/scipy/pull/11269>`__: Fix: Sparse matrix 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[ANN] pvlib python v0.7.1: predicting power for solar energy
by Dr. Mark Alexander Mikofski PhD 21 Jan '20

21 Jan '20

pvlib has a new minor release, v0.7.1 Release Notes: https://pvlib-python.readthedocs.io/en/v0.7.1/whatsnew.html PyPI: https://pypi.org/project/pvlib/ Read the Docs: https://pvlib-python.readthedocs.io/en/latest/ GitHub: https://github.com/pvlib/pvlib-python New examples gallery: https://pvlib-python.readthedocs.io/en/stable/auto_examples/index.html -- Mark Mikofski, PhD (2005) *Fiat Lux*

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pytest 5.3.4
by Bruno Oliveira 20 Jan '20

20 Jan '20

pytest 5.3.4 has just been released to PyPI. This is release reverts a regression introduced by a bug-fix in 5.3.3, all users affected should upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Bruno Oliveira * Daniel Hahler * Ran Benita Happy testing, The pytest Development Team

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[ANN] iPOPO 1.0.0
by Thomas Calmant 19 Jan '20

19 Jan '20

Hi, I'm happy to announce that iPOPO v1.0.0 has finally been released! What is iPOPO ============= iPOPO is a Service-Oriented Component Model (SOCM) based on Pelix, a dynamic service platform. Both are inspired on two popular Java technologies for the development of long-lived applications: the iPOJO component model and the OSGi Service Platform. iPOPO enables to conceive long-running and modular IT services. It is based on the concepts specified by OSGi: - Bundle: a Python module imported using Pelix and associated to a context. A bundle has a life-cycle (install, start, updated, stop, uninstall) - Service: a Python object registered in a service registry, associated to a specification and to properties. - Component: the instance of a class described/manipulated by iPOPO decorators Components are bound together by the specification(s) of the service(s) they provide. The required services are injected into components by iPOPO. For more information about those concepts, see https://ipopo.readthedocs.io/en/latest/refcards/index.html#refcards iPOPO provides many services out-of-the-box, like an HTTP server, local and remote shell, remote services... iPOPO is released under the terms of Apache Software License 2.0 What's new in 1.0.0 =================== This is the first "major" release of iPOPO, as I consider it mature enough. The Pelix/iPOPO project is now split in two branches: iPOPO (v1 branch) and ipopo2 (v2 branch). The v2 branch will require Python 3.7+, whereas v1 will keep compatibility with Python 2.7. Also, this release comes with two bug fixes: * Fixed an error when starting the framework after having loaded native modules, e.g. numpy. These modules don't have a __path__ set, which case was not handled when the framework normalizes the existing module paths. * Fixed an invalid import of collections abstract classes for Python 3.3+ in pelix.internal.hooks. You can take a look at the documentation at https://ipopo.readthedocs.io/ iPOPO is available on PyPI: https://pypi.python.org/pypi/iPOPO Source is available on GitHub: https://github.com/tcalmant/ipopo Feel free to send feedback on your experience of Pelix/iPOPO, via the mailing lists: User list : http://groups.google.com/group/ipopo-users Development list : http://groups.google.com/group/ipopo-dev Have fun!

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pytest 5.3.3
by Bruno Oliveira 17 Jan '20

17 Jan '20

pytest 5.3.3 has just been released to PyPI. This is a bug-fix release, being a drop-in replacement. To upgrade:: pip install --upgrade pytest The full changelog is available at https://docs.pytest.org/en/latest/changelog.html. Thanks to all who contributed to this release, among them: * Adam Johnson * Alexandre Mulatinho * Anthony Sottile * Bruno Oliveira * Chris NeJame * Daniel Hahler * Hugo van Kemenade * Marcelo Duarte Trevisani * PaulC * Ran Benita * Ryan Barner * Seth Junot * marc Happy testing, The pytest Development Team

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[ANN] Squint: Simple query interface for tabular data.
by Shawn Brown 11 Jan '20

11 Jan '20

[RESEND WITH CORRECTED LINK] Squint version 0.1.0 has been released: * New query previews provide convenient feedback at the interactive prompt. * Completely rewritten tutorial https://squint.readthedocs.io/en/stable/tutorial/ <https://squint.readthedocs.io/tutorial/> * Added support for Python 3.9 and dropped support for 3.3, 3.2, and 2.6. What is Squint: Squint is a simple query interface for tabular data. A core feature of Squint is that the structure of a query's selection determines the structure of its result. Squint is available from the PyPI: pip install squint With Squint You Can: * Select data using Python literals—sets, lists, dictionaries, etc.—and fetch results in the same format. * Aggregate, map, filter, reduce, and otherwise manipulate data. * Lazily iterate over results, write them to a file, or eagerly evaluate them in memory. * Analyze data from CSV, Excel, SQL, and other data sources. Links: * Docs: https://squint.readthedocs.io/ * PyPI: https://pypi.org/project/squint/ * Source: https://github.com/shawnbrown/squint Syntax Comparison: # SQL SELECT A, SUM(B) FROM mydata WHERE C='xyz' GROUP BY A; # Pandas df[['A', 'B']][df['C'] == 'xyz'].groupby('A').sum() # Squint select({'A': 'B'}, C='xyz').sum() Note: Squint uses `dict` objects to select groups of values—the *key* determines the field to group by, and the *value* determines the contents of each group. Fetching the results of such a query returns a dictionary of selected elements.

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[ANN] Pycopy/pycopy-lib 2.12.0.5, minimalist Python(-like) implementation
by Paul Sokolovsky 11 Jan '20

11 Jan '20

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 by not all Pyopy's features. Version 2.12.0.5 contains various fixes to the core Pycopy to improve CPython compatibility and elaboration of Pycopy's native APIs, and gradual developments and extensions of pycopy-lib. This release includes prebuilt binaries for Linux, for people interested of quick experimentation ahead of building the project from source: https://github.com/pfalcon/pycopy/releases/tag/v2.12.0.5 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

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PyDev 7.5.0 Released
by Fabio Zadrozny 10 Jan '20

10 Jan '20

PyDev 7.5.0 Release Highlights - Fixed support for Python 3.8 (which wasn't properly added to 7.4.0). - Improved Cython support: - Cython itself is used to generate the AST for Cython files. - Cython needs to be available in the default interpreter. - Cython does not currently support generating the AST for files with errors, so, syntax errors must be fixed for the code-completion to work properly. - Debugger improvements (updated to pydevd 1.9.0). - Improved stepping into coroutines - Attach to process no longer needs to match the bitness of the target program with the interpreter. - File with a relative path is searched in sys.path folders (i.e.: so, cython builds can find the source). About PyDev PyDev is an open-source Python IDE on top of Eclipse for Python, Jython and IronPython development, now also available for Python on Visual Studio Code. It comes with goodies such as code completion, syntax highlighting, syntax analysis, code analysis, refactor, debug, interactive console, etc. It is also available as a standalone through LiClipse with goodies such as multiple cursors, theming and support for many other languages, such as Django Templates, Jinja2, Html, JavaScript, etc. Links: PyDev: http://pydev.org PyDev Blog: http://pydev.blogspot.com PyDev on VSCode: http://pydev.org/vscode LiClipse: http://www.liclipse.com PyVmMonitor - Python Profiler: http://www.pyvmmonitor.com/ Cheers, Fabio Zadrozny

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