[ANN] PyInstaller 3.2
Hello, on behalf of the PyInstaller development team I'm happy to announce PyInstaller 3.2 http://www.pyinstaller.org Thanks for all those who contributed questions, bug-reports or pull-requests. === What it is === PyInstaller bundles a Python application and all its dependencies into a single package. The user can run the packaged app without installing a Python interpreter or any modules. PyInstaller reads a Python script written by you. It analyzes your code to discover every other module and library your script needs in order to execute. Then it collects copies of all those files – including the active Python interpreter! – and puts them with your script in a single folder, or optionally in a single executable file. PyInstaller is tested against Windows, Mac OS X, and Linux. However, it is not a cross-compiler: to make a Windows app you run PyInstaller in Windows; to make a Linux app you run it in Linux, etc. PyInstaller has been used successfully with AIX, Solaris, and FreeBSD, but is not tested against them. === Installation === PyInstaller can be installed from PyPi using pip install pyinstaller === Changes === - Even the "main" script is now byte-compiled (#1847, #1856) - The manual is on readthedocs.io now (#1578) - On installation try to compile the bootloader if there is none for the current platform (#1377) - Lots of new, fixed or enhanced hooks. - Many bug fixes and internal enhancements. The full changelog for this release can be found at: https://pyinstaller.rtfd.org/en/v3.2/CHANGES.html === Feedback === We're eager to listen to your feedback on using PyInstaller: Bug tracker: https://github.com/pyinstaller/pyinstaller/issues Mailing list: http://groups.google.com/group/PyInstaller -- Schönen Gruß Hartmut Goebel Dipl.-Informatiker (univ), CISSP, CSSLP, ISO 27001 Lead Implementer Information Security Management, Security Governance, Secure Software Development Goebel Consult, Landshut http://www.goebel-consult.de Blog: http://www.goebel-consult.de/blog/bewertung-pgp-verschlusselung-bei-web.de-und-gmx Kolumne: http://www.cissp-gefluester.de/2012-01-in-die-cloud-in-die-cloud-aber-wo-soll-die-sein -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: unicode 2.2
unicode is a simple python command line utility that displays properties for a given unicode character, or searches unicode database for a given name. It was written with Linux in mind, but should work almost everywhere (including MS Windows and MacOSX), UTF-8 console is recommended. ˙pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo əsn pəɔuɐʌpɐ puɐ səldı̣ɔuı̣ɹd əɥʇ ɓuı̣ʇɐɹʇsuoɯəp looʇ ɔı̣ʇɔɐpı̣p ʇuəlləɔxə uɐ sı̣ ʇI ˙sʇuı̣odəpoɔ ʇuəɹəɟɟı̣p ʎləʇəldɯoɔ ɓuı̣sn əlı̣ɥʍ 'sɥdʎlɓ ɟo ɯɐəɹʇs ɹɐlı̣ɯı̣s ʎllɐnsı̣ʌ oʇuı̣ ʇxəʇ əɥʇ ʇɹəʌuoɔ oʇ pɹɐpuɐʇs əpoɔı̣uՈ əɥʇ ɟo ɹəʍod llnɟ əɥʇ sʇı̣oldxə ʇɐɥʇ 'ʎʇı̣lı̣ʇn ,əpoɔɐɹɐd, oslɐ suı̣ɐʇuoɔ əɓɐʞɔɐd əɥ⊥ Changes since previous versions: * display also the unicode block of the character URL: http://kassiopeia.juls.savba.sk/~garabik/software/unicode.html License: GPL v3 -- --- | Radovan Garabík http://kassiopeia.juls.savba.sk/~garabik/ | | __..--^^^--..__garabik @ kassiopeia.juls.savba.sk | --- Antivirus alert: file .signature infected by signature virus. Hi! I'm a signature virus! Copy me into your signature file to help me spread! -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
ANN: Lea 2.2.0
Lea 2.2.0 is now released! What is Lea? Lea is a Python package aiming at working with discrete probability distributions in an intuitive way. It allows you to model a broad range of random phenomenons, like dice throwing, coin tossing, gambling, finance, weather, etc. It offers high-level modeling features for probabilistic programming and bayesian inference. Lea has several original features: the storage of probabilities as integer weights, an inference algorithm that produces *exact* results and a strong emphasis on ease-of-use. Lea is lightweight, open-source (LGPL) and pure Python, with support of versions 2 and 3). See project page below for installation, tutorials, examples, etc. What's new in Lea 2.2.0? Compared to latest version (2.1.2), many things have been made to improve ease-of-use and overall performance. Maybe one of the most notable feature is that you can now get individual probabilities very easily, as a fraction or float, thanks to the new 'P' and 'Pf' functions. Here are some examples that you can type in your Python console: >>> P(dice <= 5) 5/18 >>> Pf(dice <= 5) 0.2778 >>> P(rain.given(grassWet)) 891/2491 >>> Pf(rain.given(grassWet)) 0.3576876756322762 Other new features include: - build joint probability distributions from CSV files or Pandas dataframes - pmf histograms using matplotlib - Monte-Carlo sampling estimation - multi-arguments 'given' method (ANDing of evidences) - likelihood ratio - extended 'draw' method: with/without sorting, with/without replacement - machine learning (experimental) - built-in functions and distributions for games - various optimizations Most of the new features are documented in a new tutorial on Lea's wiki (http://bitbucket.org/piedenis/lea/wiki/LeaPyTutorial3). Credits --- Thanks to all of you for this large bunch of feedbacks, encouragements and suggestions! In particular, the present version owes much to Paul Moore, who made important contributions; among other things, Paul fixed the installation procedure, set up a test suite using the Tox tool and created an efficient algorithm for calculating probability distribution resulting from a drawing process. Thanks Paul for making the package more mature! Lea project page http://bitbucket.org/piedenis/lea Download Lea (PyPI) --- http://pypi.python.org/pypi/lea With the hope that Lea can make your joy less random, Pierre Denis -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
