🌐 Mailman 3 February 2025 - Python-list - python.org

[RELEASE] Python 3.13.2 and 3.12.9 now available!
by Thomas Wouters Feb. 4, 2025

Feb. 4, 2025

A small release day today! That is to say the releases are relatively small; the day itself was of average size, as most days are. <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Python 3.13.2 Python 3.13’s second maintenance release. About 250 changes went into this update, and can be yours for free if you just upgrade now. https://www.python.org/downloads/release/python-3132/ <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Python 3.12.9 Python 3.12’s *ninth* maintenance release already. Just 180 changes for 3.12, but it’s still worth upgrading. https://www.python.org/downloads/release/python-3129/ <https://discuss.python.org/t/python-3-13-2-and-3-12-9-now-available/79509#p…>Enjoy the new releases Thanks to all of the many volunteers who help make Python Development and these releases possible! Please consider supporting our efforts by volunteering yourself or through organization contributions to the Python Software Foundation. Regards from your team, Thomas Wouters Ned Deily Steve Dower Łukasz Langa

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SQLObject 3.12.0.post2
by Oleg Broytman Feb. 1, 2025

Feb. 1, 2025

Hello! I'm pleased to announce version 3.12.0.post2, the second post-release of release 3.12.0 of branch 3.12 of SQLObject. What's new in SQLObject ======================= Installation/dependencies ------------------------- * Use ``FormEncode`` 2.1.1 for Python 3.13. For a more complete list, please see the news: http://sqlobject.org/News.html What is SQLObject ================= SQLObject is a free and open-source (LGPL) Python object-relational mapper. Your database tables are described as classes, and rows are instances of those classes. SQLObject is meant to be easy to use and quick to get started with. SQLObject supports a number of backends: MySQL/MariaDB (with a number of DB API drivers: ``MySQLdb``, ``mysqlclient``, ``mysql-connector``, ``PyMySQL``, ``mariadb``), PostgreSQL (``psycopg2``, ``PyGreSQL``, partially ``pg8000`` and ``py-postgresql``), SQLite (builtin ``sqlite3``); connections to other backends - Firebird, Sybase, MSSQL and MaxDB (also known as SAPDB) - are less debugged). Python 2.7 or 3.4+ is required. Where is SQLObject ================== Site: http://sqlobject.org Download: https://pypi.org/project/SQLObject/3.12.0.post2 News and changes: http://sqlobject.org/News.html StackOverflow: https://stackoverflow.com/questions/tagged/sqlobject Mailing lists: https://sourceforge.net/p/sqlobject/mailman/ Development: http://sqlobject.org/devel/ Developer Guide: http://sqlobject.org/DeveloperGuide.html Example ======= Install:: $ pip install sqlobject Create a simple class that wraps a table:: >>> from sqlobject import * >>> >>> sqlhub.processConnection = connectionForURI('sqlite:/:memory:') >>> >>> class Person(SQLObject): ... fname = StringCol() ... mi = StringCol(length=1, default=None) ... lname = StringCol() ... >>> Person.createTable() Use the object:: >>> p = Person(fname="John", lname="Doe") >>> p <Person 1 fname='John' mi=None lname='Doe'> >>> p.fname 'John' >>> p.mi = 'Q' >>> p2 = Person.get(1) >>> p2 <Person 1 fname='John' mi='Q' lname='Doe'> >>> p is p2 True Queries:: >>> p3 = Person.selectBy(lname="Doe")[0] >>> p3 <Person 1 fname='John' mi='Q' lname='Doe'> >>> pc = Person.select(Person.q.lname=="Doe").count() >>> pc 1 Oleg. -- Oleg Broytman https://phdru.name/ phd(a)phdru.name Programmers don't die, they just GOSUB without RETURN.

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online course - INTRODUCTION TO PYTHON PROGRAMMING FOR BIOLOGISTS - 24-27 February
by info＠physalia-courses.org Feb. 1, 2025

Feb. 1, 2025

Dear all, there are the last seats available for our online course - INTRODUCTION TO PYTHON PROGRAMMING FOR BIOLOGISTS Dates: 24–27 February Course Website: [ https://www.physalia-courses.org/courses-workshops/python24/ ]( https://www.physalia-courses.org/courses-workshops/python24/ ) This four-day course is tailored for biologists and life scientists at all levels with little or no prior programming experience. Participants will gain a strong foundation in Python programming and its applications in biological data analysis, with a focus on hands-on exercises and real-world projects. By the end of the course, you will be able to: Write and run Python code for biological data analysis and visualization. Use bioinformatics libraries like BioPython. Perform statistical analysis with Python. Create organized and reusable code. Develop a simple project tailored to your research field. Program Highlights: Day 1: Python basics, data types, and DNA sequence manipulation. Day 2: Dictionaries, loops, and field data analysis. Day 3: I/O handling, BioPython, and ChIP-seq data processing. Day 4: Statistics, visualization, and advanced projects in viral genomics. Best regards, Carlo -------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR info(a)physalia-courses.org mobile: +49 17645230846

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