🌐 Mailman 3 March 2018 - Python-announce-list - python.org

ANN: SciPy 1.0.1 released
by Ralf Gommers March 24, 2018

March 24, 2018

On behalf of the SciPy development team I am pleased to announce the availability of Scipy 1.0.1. This is a maintenance release, no new features with respect to 1.0.0. See the release notes below for details. Wheels and sources can be found on PyPI (https://pypi.python.org/pypi/scipy) and on Github (https://github.com/scipy/scipy/releases/tag/v1.0.1). The conda-forge channel will be up to date within a couple of hours. Thanks to everyone who contributed to this release! Cheers, Ralf SciPy 1.0.1 Release Notes ==================== SciPy 1.0.1 is a bug-fix release with no new features compared to 1.0.0. Probably the most important change is a fix for an incompatibility between SciPy 1.0.0 and ``numpy.f2py`` in the NumPy master branch. Authors ======= * Saurabh Agarwal + * Alessandro Pietro Bardelli * Philip DeBoer * Ralf Gommers * Matt Haberland * Eric Larson * Denis Laxalde * Mihai Capotă + * Andrew Nelson * Oleksandr Pavlyk * Ilhan Polat * Anant Prakash + * Pauli Virtanen * Warren Weckesser * @xoviat * Ted Ying + A total of 16 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete. Issues closed for 1.0.1 ----------------------- - `#7493 <https://github.com/scipy/scipy/issues/7493>`__: `ndimage.morphology` functions are broken with numpy 1.13.0 - `#8118 <https://github.com/scipy/scipy/issues/8118>`__: minimize_cobyla broken if `disp=True` passed - `#8142 <https://github.com/scipy/scipy/issues/8142>`__: scipy-v1.0.0 pdist with metric=`minkowski` raises `ValueError:... - `#8173 <https://github.com/scipy/scipy/issues/8173>`__: `scipy.stats.ortho_group` produces all negative determinants... - `#8207 <https://github.com/scipy/scipy/issues/8207>`__: gaussian_filter seg faults on float16 numpy arrays - `#8234 <https://github.com/scipy/scipy/issues/8234>`__: `scipy.optimize.linprog` `interior-point` presolve bug with trivial... - `#8243 <https://github.com/scipy/scipy/issues/8243>`__: Make csgraph importable again via `from scipy.sparse import*` - `#8320 <https://github.com/scipy/scipy/issues/8320>`__: scipy.root segfaults with optimizer 'lm' Pull requests for 1.0.1 ----------------------- - `#8068 <https://github.com/scipy/scipy/pull/8068>`__: BUG: fix numpy deprecation test failures - `#8082 <https://github.com/scipy/scipy/pull/8082>`__: BUG: fix solve_lyapunov import - `#8144 <https://github.com/scipy/scipy/pull/8144>`__: MRG: Fix for cobyla - `#8150 <https://github.com/scipy/scipy/pull/8150>`__: MAINT: resolve UPDATEIFCOPY deprecation errors - `#8156 <https://github.com/scipy/scipy/pull/8156>`__: BUG: missing check on minkowski w kwarg - `#8187 <https://github.com/scipy/scipy/pull/8187>`__: BUG: Sign of elements in random orthogonal 2D matrices in "ortho_group_gen"... - `#8197 <https://github.com/scipy/scipy/pull/8197>`__: CI: uninstall oclint - `#8215 <https://github.com/scipy/scipy/pull/8215>`__: Fixes Numpy datatype compatibility issues - `#8237 <https://github.com/scipy/scipy/pull/8237>`__: BUG: optimize: fix bug when variables fixed by bounds are inconsistent... - `#8248 <https://github.com/scipy/scipy/pull/8248>`__: BUG: declare "gfk" variable before call of terminate() in newton-cg - `#8280 <https://github.com/scipy/scipy/pull/8280>`__: REV: reintroduce csgraph import in scipy.sparse - `#8322 <https://github.com/scipy/scipy/pull/8322>`__: MAINT: prevent scipy.optimize.root segfault closes #8320 - `#8334 <https://github.com/scipy/scipy/pull/8334>`__: TST: stats: don't use exact equality check for hdmedian test - `#8477 <https://github.com/scipy/scipy/pull/8477>`__: BUG: signal/signaltools: fix wrong refcounting in PyArray_OrderFilterND - `#8530 <https://github.com/scipy/scipy/pull/8530>`__: BUG: linalg: Fixed typo in flapack.pyf.src. - `#8566 <https://github.com/scipy/scipy/pull/8566>`__: CI: Temporarily pin Cython version to 0.27.3 - `#8573 <https://github.com/scipy/scipy/pull/8573>`__: Backports for 1.0.1 - `#8581 <https://github.com/scipy/scipy/pull/8581>`__: Fix Cython 0.28 build break of qhull.pyx

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ANN: Plumage 1.3.0; access trademark status info from USPTO
by Terry Carroll March 23, 2018

March 23, 2018

I am pleased to announce Plumage (Plumage-py) 1.3.0 ("Delius"). This is the first Plumage release to support Python 3. Plumage is a module to obtain trademark status and information from the United States Patent & Trademark Office's (USPTO's) Trademark Status & Document Retrieval (TSDR) system. It takes as input either a trademark registration number or application serial number, fetches the corresponding XML data from the PTO's TSDR website, and returns a dictionary of data associated with the specified TSDR entry. Example: from Plumage import plumage t = plumage.TSDRReq() t.getTSDRInfo("2564831", "r") # get info on reg. no 2,564,831 tsdrdata=t.TSDRData if tsdrdata.TSDRMapIsValid: print("Application serial no: ", tsdrdata.TSDRSingle["ApplicationNumber"]) print("Trademark text: ", tsdrdata.TSDRSingle["MarkVerbalElementText"]) print("Application filing date: ", tsdrdata.TSDRSingle["ApplicationDate"]) print("Registration no: ", tsdrdata.TSDRSingle["RegistrationNumber"]) # Owner info is in most recent (0th) entry in ApplicantList applicant_list = tsdrdata.TSDRMulti["ApplicantList"] current_owner_info = applicant_list[0] print("Owner:", current_owner_info["ApplicantName"]) Will print: Application serial no: 75181334 Trademark text: MONTY PYTHON'S FLYING CIRCUS Application filing date: 1996-10-15-04:00 Registration no: 2564831 Owner: Python (Monty) Pictures Ltd. Multiple trademark applications or registrations can be successively queried. for example: t = plumage.TSDRReq() application_numbers = ["76535603", "75854426", "86142154", "78790815", "75533975"] for application_number in application_numbers: result = t.getTSDRInfo(application_number, "s") print(t.TSDRData.TSDRSingle["MarkVerbalElementText"]) Will display: NO BUDDY ESPEX ZA SPANISH INQUISITION New in this release: * Support for Python 3 Code: https://github.com/codingatty/Plumage-py/releases/tag/V1.3.0 Docs: https://github.com/codingatty/Plumage/wiki/Plumage-Home License: Apache Software License V2 -- Terry Carroll carroll(a)tjc.com

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Wing Python IDEs version 6.0.11 released
by Wingware March 23, 2018

March 23, 2018

Hi, We've just released Wing 6.0.11 <http://wingware.com/news/2018-03-21>, which implements auto-save and restore for remote files, adds a Russian translation of the UI (thanks to Alexandr Dragukin), improves remote development error reporting and recovery after network breaks, correctly terminates SSH tunnels when switching projects or quitting, fixes severe network slowdown seen on High Sierra, auto-reactivates expired annual licenses without restarting Wing, and makes about 20 other improvements. For details, see https://wingware.com/pub/wingide/6.0.11/CHANGELOG.txt Download Now <https://wingware.com/downloads> About Wing Wing is a family of cross-platform <http://wingware.com/doc/install/supported-platforms> Python IDEs with powerful integrated editing, debugging, unit testing, and project management features. Wing runs on Windows, Linux, and OS X, and can be used to develop any kind of Python code for web, desktop, embedded scripting, and other applications. Wing 101 <https://wingware.com/downloads/wing-101> and Wing Personal <https://wingware.com/downloads/wing-personal> omit some features and are free to download and use without a license. Wing Pro <https://wingware.com/downloads/wing-pro> requires purchasing <https://wingware.com/store/purchase> or upgrading <https://wingware.com/store/upgrade> a license, or obtaining a 30-day trial at startup. Version 6 introduces many new features, including improved multi-selection, much easier remote development <https://wingware.com/doc/proj/remote-hosts>, debugging from the Python Shell, recursive debugging, PEP 484 and 526 type hinting, support for Python 3.6 and 3.7, Vagrant <https://wingware.com/doc/howtos/vagrant>, Jupyter <https://wingware.com/doc/howtos/jupyter>, and Django <https://wingware.com/doc/howtos/django> 1.10+, easier Raspberry Pi <https://wingware.com/doc/howtos/raspberry> development, optimized debugger, OS X full screen mode, One Dark color palette, Russian localization (thanks to Alexandr Dragukin), expanded free product line, and much more. For details, see What's New in Wing Version 6 <https://wingware.com/wingide/whatsnew>. Wing 6 works with Python versions 2.5 through 2.7 and 3.2 through 3.7, including also Anaconda, ActivePython, EPD, Stackless, and others derived from the CPython implementation. For more product information, please visit wingware.com <https://wingware.com/> Upgrading You can try Wing 6 without removing older versions. Wing 6 will read and convert your old preferences, settings, and projects. Projects should be saved to a new name since previous versions of Wing cannot read Wing 6 projects. See also Migrating from Older Versions <https://wingware.com/doc/install/migrating> and Upgrading <https://wingware.com/doc/install/upgrading>. Links Release notice: https://wingware.com/news/2018-03-21 Downloads and Free Trial: https://wingware.com/downloads Buy: https://wingware.com/store/purchase Upgrade: https://wingware.com/store/upgrade Questions? Don't hesitate to email us at support(a)wingware.com. Thanks, -- Stephan Deibel Wingware | Python IDE The Intelligent Development Environment for Python Programmers wingware.com

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[ANN] 11ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 3—8 September, 2018
by Python School Organizers March 23, 2018

March 23, 2018

11ᵗʰ 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 Mathematica 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: see how far we got in previous years <https://python.g-node.org/wiki/archives#stats>! Date & Location =============== 3–8 September, 2018. Camerino, Italy. Application =========== You can apply online: https://python.g-node.org/wiki/applications Application deadline: 23:59 UTC, 31 May, 2018. 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 • Best practices in data visualization • Organizing, documenting, and distributing scientific code • Testing scientific code • Profiling scientific code • Advanced NumPy • Advanced scientific Python: decorators, context managers, generators, and elements of object oriented programming • Writing parallel applications in Python • Speeding up scientific code with Cython and numba • Memory-bound computations and the memory hierarchy • Programming in teams Also see the detailed day-by-day schedule: https://python.g-node.org/wiki/schedule Faculty ======= • Ashwin Trikuta Srinath, Cyberinfrastructure Technology Integration, Clemson University, SC USA • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde Denmark • Juan Nunez-Iglesias, Melbourne Bioinformatics, University of Melbourne Australia • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux France • Pietro Berkes, NAGRA Kudelski, Lausanne Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin Germany • Tiziano Zito, freelance consultant, Berlin Germany • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw Poland Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, 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 Switzerland For the University of Camerino Italy: • Flavio Corradini, Computer Science Division, School of Science and Technology, 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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pytest 3.5.0 released!
by Bruno Oliveira March 22, 2018

March 22, 2018

The pytest team is proud to announce the 3.5.0 release! This release contains a large number of new command-line options, a lot of them made by new contributors which makes this all the more reason for celebration, make sure to take a look at the CHANGELOG to see what's new: http://doc.pytest.org/en/latest/changelog.html For complete documentation, please visit: http://docs.pytest.org As usual, you can upgrade from pypi via: pip install -U pytest Thanks to all who contributed to this release, among them: * Allan Feldman * Brian Maissy * Bruno Oliveira * Carlos Jenkins * Daniel Hahler * Florian Bruhin * Jason R. Coombs * Jeffrey Rackauckas * Jordan Speicher * Julien Palard * Kale Kundert * Kostis Anagnostopoulos * Kyle Altendorf * Maik Figura * Pedro Algarvio * Ronny Pfannschmidt * Tadeu Manoel * Tareq Alayan * Thomas Hisch * William Lee * codetriage-readme-bot * feuillemorte * joshm91 * mike Happy testing, The Pytest Development Team

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ANN: PyScripter v3.3.0 released
by pyscripter＠gmail.com March 21, 2018

March 21, 2018

PyScripter is a free and open-source Python Integrated Development Environment (IDE) created with the ambition to become competitive in functionality with commercial Windows-based IDEs available for other languages. It is feature-rich, but also light-weight. The major new feature of this release is support for thread debugging. See: Announcement: https://pyscripter.blogspot.gr/2018/03/pyscripter-version-322-released.html Project hoe: https://github.com/pyscripter/pyscripter/ Features: https://github.com/pyscripter/pyscripter/wiki/Features Downloads: https://sourceforge.net/projects/pyscripter/files

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PyDev 6.3.2 released
by Fabio Zadrozny March 21, 2018

March 21, 2018

PyDev 6.3.2 Release Highlights PyDev changes: - Type inference - PyDev can now uses information on .pyi files (when along the typed .py file) for type inference. - Fixed issue opening code completion preferences page. 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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PyCA cryptography 2.2.1 released
by Paul Kehrer March 20, 2018

March 20, 2018

PyCA cryptography 2.2.1 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. We support Python 2.7, Python 3.4+, and PyPy. Changelog (https://cryptography.io/en/latest/changelog/#v2-2-1 <https://cryptography.io/en/latest/changelog/#v2-2>): * Reverted a change to GeneralNames which prohibited having zero elements, due to breakages. * Fixed a bug in aes_key_unwrap_with_padding() that caused it to raise InvalidUnwrap when key length modulo 8 was zero. -Paul Kehrer (reaperhulk)

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PyCA cryptography 2.2 released
by Paul Kehrer March 18, 2018

March 18, 2018

PyCA cryptography 2.2 has been released to PyPI. cryptography includes both high level recipes and low level interfaces to common cryptographic algorithms such as symmetric ciphers, message digests, and key derivation functions. We support Python 2.7, Python 3.4+, and PyPy. Changelog (https://cryptography.io/en/latest/changelog/#v2-2): * BACKWARDS INCOMPATIBLE: Support for Python 2.6 has been dropped. The last version of cryptography that supports Python 2.6 is 2.1.4. * Resolved a bug in HKDF that incorrectly constrained output size. * Added BrainpoolP256R1, BrainpoolP384R1, and BrainpoolP512R1 to support inter-operating with systems like German smart meters. * Added token rotation support to Fernet with rotate(). * Fixed a memory leak in derive_private_key(). * Added support for AES key wrapping with padding via aes_key_wrap_with_padding() and aes_key_unwrap_with_padding() . * Allow loading DSA keys with 224 bit q. Thanks to everyone who contributed! -Paul Kehrer (reaperhulk)

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[RELEASE] Python 3.6.5rc1 is now available for testing
by Ned Deily March 13, 2018

March 13, 2018

Announcing the immediate availability of Python 3.6.5 release candidate 1! Python 3.6.5rc1 is the first release candidate for Python 3.6.5, the next maintenance release of Python 3.6. While 3.6.5rc1 is a preview release and, thus, not intended for production environments, we encourage you to explore it and provide feedback via the Python bug tracker (https://bugs.python.org). 3.6.5 is planned for final release on 2018-03-26 with the next maintenance release expected to follow in about 3 months. You can find Python 3.6.5rc1 and more information here: https://www.python.org/downloads/release/python-365rc1/ Attention macOS users: as of 3.6.5rc1, there is a new additional installer variant for macOS 10.9+ that includes a built-in version of Tcl/Tk 8.6. This variant is expected to become the default variant in future releases. Check it out! -- Ned Deily nad(a)python.org -- []

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