Mailman 3 July 2017 - Python-announce-list

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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pytypes 1.0 beta 1 released
by Stefan Richthofer Nov. 20, 2017

Nov. 20, 2017

After many months of work, we proudly announce the first beta release of pytypes. (https://github.com/Stewori/pytypes) pytypes is a toolbox for PEP-484 style typing, explicitly supporting Python >= 3.3, Python 2.7, Jython >= 2.7.1, PyPy 3 (others not tested, but might work). Its main features are - decorators and profiler for runtime typechecking - decorators for typesafe override checking of methods - easily pull type information from stubfiles into __annotations__ - get_type_hints: workable backport to Python 2.7 (based on type comments) - get_type_hints: variant that also takes stubfiles into account - utility functions is_of_type(obj, tp) and is_subtype(subtype, supertype) for use with PEP 484 types - decorator and profiler for generating stubfiles from type information observed and logged at runtime - all these features work equally well on Python 2.7 - all these features smoothly work with OOP, i.e. methods, static methods, class methods, properties This beta release is intended to allow testing of pytypes' approaches in real-world code. Please check to what extend it suites your needs and help us to improve it. Github: https://github.com/Stewori/pytypes/releases PyPI: https://pypi.python.org/pypi/pytypes License: Apache 2.0 Enjoy! -Stefan

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Trac 1.3.2 Release
by Ryan Ollos July 31, 2017

July 31, 2017

Trac 1.3.2 Released ==================== Trac 1.3.2, the latest development release leading up to Trac 1.4, is available. You will find this release at the usual places: https://trac.edgewall.org/wiki/TracDownload#LatestDevRelease You can find the detailed release notes for 1.3.2 on the following pages: https://trac.edgewall.org/wiki/1.3/TracChangeLog https://trac.edgewall.org/wiki/TracDev/ReleaseNotes/1.3#MaintenanceReleases Now to the packages themselves: URLs: https://download.edgewall.org/trac/Trac-1.3.2-py2-none-any.whl https://download.edgewall.org/trac/Trac-1.3.2.tar.gz https://download.edgewall.org/trac/Trac-1.3.2.win32.exe https://download.edgewall.org/trac/Trac-1.3.2.win-amd64.exe MD5 sums: b0ab068efc8d401d529519fa3a7c7359 Trac-1.3.2-py2-none-any.whl 27e8f357ea96c0cdd4d66e324729edca Trac-1.3.2.tar.gz afb5f30d360ef29a0a433b88a9658c8b Trac-1.3.2.win32.exe ce3add5b445c413c4ebd5860cde01afc Trac-1.3.2.win-amd64.exe SHA1 sums: 24f1f8ad0ec94280455f687d030f2efd0a3b98d4 Trac-1.3.2-py2-none-any.whl 267b6b8733aaf8899eb0cbb627d8d1926ad166c7 Trac-1.3.2.tar.gz 918b6144cd19ec98a67d299976b71515cbc696f9 Trac-1.3.2.win32.exe 7518302b3ef92897c8ede49cb2915432073c64b9 Trac-1.3.2.win-amd64.exe Acknowledgements ================ Many thanks to the growing number of people who have, and continue to, support the project. Also our thanks to all people providing feedback and bug reports that helps us make Trac better, easier to use and more effective. Without your invaluable help, Trac would not evolve. Thank you all. Finally, we hope that Trac will be useful to like-minded programmers around the world, and that this release will be an improvement over the last version. Please let us know. /The Trac Team http://trac.edgewall.org/

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concurrent-log-handler 0.9.6 released
by Preston Landers July 30, 2017

July 30, 2017

concurrent-log-handler ====================== RotatingFileHandler replacement with concurrency, gzip and Windows support -------------------------------------------------------------------------- This package provides an additional log handler for Python's standard logging package (PEP 282). This handler will write log events to a log file which is rotated when the log file reaches a certain size. Multiple processes can safely write to the same log file concurrently. Rotated logs can be gzipped if desired. Windows and POSIX systems are supported. An optional threaded queue logging handler is provided to perform logging in the background. This is a fork of Lowell Alleman's ConcurrentLogHandler 0.9.1 with additional enhancements: * Renamed package to `concurrent_log_handler` * Provide `use_gzip` option to compress rotated logs * Support for Windows * Note: PyWin32 is required on Windows, but can't be installed as an automatic dependency because it's not currently installable through pip. * Fix deadlocking problem with ConcurrentLogHandler under newer Python * More secure generation of random numbers for temporary filenames * Change the name of the lockfile to have .__ in front of it (hide it on Posix) * Provide a QueueListener / QueueHandler implementation for handling log events in a background thread. Optional: requires Python 3. Download ======== `pip install concurrent-log-handler` https://github.com/Preston-Landers/concurrent-log-handler https://pypi.python.org/pypi/concurrent-log-handler News / Changes ============== - 0.9.7/0.9.6: Fix platform specifier for PyPi - 0.9.5: Add `use_gzip` option to compress rotated logs. Add an optional threaded logging queue handler based on the standard library's `logging.QueueHandler`. - 0.9.4: Fix setup.py to not include tests in distribution. - 0.9.3: Refactoring release * For publishing fork on pypi as `concurrent-log-handler` under new package name. * NOTE: PyWin32 is required on Windows but is not an explicit dependency because the PyWin32 package is not currently installable through pip. * Fix lock behavior / race condition - 0.9.2: Initial release of fork by Preston Landers based on a fork of Lowell Alleman's ConcurrentLogHandler 0.9.1 * Fixes deadlocking issue with recent versions of Python * Puts `.__` prefix in front of lock file name * Use `secrets` or `SystemRandom` if available. * Add/fix Windows support thanks, Preston

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Relatorio 0.7.0
by Cédric Krier July 29, 2017

July 29, 2017

Hi, I'm glade to announce the availability of the 0.7.0 release of Relatorio. It is a minor release that adds new features: * Add support for Flat OpenDocument * Add more guess types: 'boolean', 'date', 'time' and 'void' * Replace hard-coded extensions by mimetypes guess But also some fixes: * Update example of document for Genshi >= 0.7 * Remove ResourceWarning in tests Relatorio is available on PyPI as source and wheel: https://pypi.python.org/pypi/relatorio/0.7.0/ The documentation is available at https://relatorio.readthedocs.io/en/0.7.0/

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BOTLIB #18 Framework to program bots announced
by Bart Thate July 28, 2017

July 28, 2017

I like to announce the release of BOTLIB version 18 into the Public Domain. BOTLIB #18 - Framework to program bots - http://botlib.readthedocs.io/en/latest/ #ggz #evrm #dooddoorgif README BOTLIB is a python3 framework to use if you want to program IRC or XMPP bots. provides CLI, IRC and XMPP bots. Object class - save/load to/from a JSON file. ReST server - serve saved object’s over HTTP. RSS fetcher - echo rss feeds to IRC channels. UDP server - udp to bot to IRC channel. Watcher server - run tail -f and have output send to IRC channel. Email scanning - scan mbox format to searchable BOTLIB objects. JSON backend - objects are stored as json string in files on the fs. Db - iteration over stored objects. Timestamp - time based filenames gives logging capabilities Future - future sensors should provide entry to the logger. setup Set export PYTHONPATH=”.” if the bot cannot be found by the python interpreter. Set export PYTHONIOENCODING=”utf-8” if your shell has problems with handling utf-8 strings. For the XMPP server use a ~/.sleekpass file with the password in it source botlib.bot bot base class. botlib.cli command line interfacce bot, gives a shell prompt to issue bot commands. botlib.clock timer, repeater and other clock based classes. botlib.cmnds botlib basic commands. botlib.compose construct a object into it’s type. botlib.engine select.epoll event loop, easily interrup_table esp. versus a blocking event loop. botlib.db JSON file db. botlib.error botlib exceptions. botlib.event event handling classes. botlib.fleet fleet is a list of bots. botlib.handler schedule events. botlib.irc IRC bot class. botlib.kernel program boot and module loading. botlib.launcher a launcher launches threads (or tasks in this case). botlib.log log module to set standard format of logging. botlib.object JSON file backed object with dotted access. botlib.raw raw output using print. botlib.rss rss module. botlib.selector functions used in code to select what objects to use. botlib.task adapted thread to add extra functionality to threads. botlib.trace functions concering stack trace. botlib.users class to access user records. botlib.xmpp XMPP bot class. botlib.register object with list for multiple values. botlib.rest rest interface. botlib.runner threaded loop to run tasks on. botlib.space central module to store objects in. botlib.static static definitions. botlib.template cfg objects containing default values for various services and plugins. botlib.test plugin containing test commands and classes. botlib.udp relay txt through a udp port listener. botlib.utils lib local helper functions. botlib.url functions that fetch data from url. botlib.watcher watch files. contact Bart Thate botfather on #dunkbot irc.freenode.net bthate(a)dds.nl, thatebart(a)gmail.com BOTLIB is released in the Public Domain - https://bitbucket.org/bthate/botlib

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PyCA cryptography 2.0.1 released
by Paul Kehrer July 26, 2017

July 26, 2017

PyCA cryptography 2.0.1 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 2.6-2.7, Python 3.4+, and PyPy. * Fixed a compilation bug affecting OpenBSD. * Altered the manylinux1 wheels to statically link OpenSSL instead of dynamically linking and bundling the shared object. This should resolve crashes seen when using uwsgi or other binaries that link against OpenSSL independently. * Fixed the stack level for the signer and verifier warnings. -Paul Kehrer (reaperhulk)

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Vulture 0.21
by Jendrik Seipp July 26, 2017

July 26, 2017

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: static code analysis * lightweight: only one module * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * supports Python 2.6, 2.7 and 3.x News ==== 0.21 (2017-07-26) ----------------- * If an unused item is defined multiple times, report it multiple times. * Make size estimates for function calls more accurate. * Create wheel files for Vulture (thanks @RJ722). Cheers, Jendrik

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Vulture 0.20
by Jendrik Seipp July 26, 2017

July 26, 2017

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: static code analysis * lightweight: only one module * tested: tests itself and has complete test coverage * complements pyflakes and has the same output syntax * supports Python 2.6, 2.7 and 3.x News ==== 0.20 (2017-07-26) ----------------- * Report unused tuple assignments as dead code. * Report attribute names that have the same names as variables as dead code. * Let Item class inherit from ``object`` (thanks @RJ722). * Handle names imported as aliases like all other used variable names. * Rename Vulture.used_vars to Vulture.used_names. * Use function for determining which imports to ignore. * Only try to import each whitelist file once. * Store used names and used attributes in sets instead of lists. * Fix estimating the size of code containing ellipses (...). * Refactor and simplify code. Cheers, Jendrik

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RELEASED] Python 3.4.7rc1 and Python 3.5.4rc1 are now available
by Larry Hastings July 25, 2017

July 25, 2017

On behalf of the Python development community and the Python 3.4 and Python 3.5 release teams, I'm relieved to announce the availability of Python 3.4.7rc1 and Python 3.5.4rc1. Python 3.4 is now in "security fixes only" mode. This is the final stage of support for Python 3.4. Python 3.4 now only receives security fixes, not bug fixes, and Python 3.4 releases are source code only--no more official binary installers will be produced. Python 3.5.4 will be the final 3.5 release in "bug fix" mode. After 3.5.4 is released, Python 3.5 will also move into "security fixes mode". Both these releases are "release candidates". They should not be considered the final releases, although the final releases should contain only minor differences. Python users are encouraged to test with these releases and report any problems they encounter. You can find Python 3.4.7rc1 here: https://www.python.org/downloads/release/python-347rc1/ And you can find Python 3.5.4rc1 here: https://www.python.org/downloads/release/python-354rc1/ Python 3.4.7 final and Python 3.5.4 final are both scheduled for release on August 6th, 2017. Happy Pythoning, //arry/

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