From Fedora Project Wiki
(python3-cherrypy and loggerhead were reviewed)
m (→‎Python packages awaiting review: python-meliae and python3-postgresql are done)
Line 34: Line 34:


* [https://bugzilla.redhat.com/show_bug.cgi?id=575185 python-bunch] -- a dict class with attribute style lookup
* [https://bugzilla.redhat.com/show_bug.cgi?id=575185 python-bunch] -- a dict class with attribute style lookup
* [https://bugzilla.redhat.com/show_bug.cgi?id=577398 python-meliae] -- Python memory usage statistics
* [https://bugzilla.redhat.com/show_bug.cgi?id=579280 python3-postgresql] -- Connect to PostgreSQL with Python 3
* [https://bugzilla.redhat.com/show_bug.cgi?id=581913 python-simplegeneric] -- Simple generic functions (similar to Python's own len(), pickle.dump(), etc.)
* [https://bugzilla.redhat.com/show_bug.cgi?id=581913 python-simplegeneric] -- Simple generic functions (similar to Python's own len(), pickle.dump(), etc.)



Revision as of 19:51, 4 May 2010


Python Special Interest Group

A SIG for people who are interested in Python on Fedora. This includes packaging and optimizing the various Python 2 and Python 3 runtimes (CPython, Jython), packaging libraries and applications, setting and improving standards for packaging them as RPMs and maintaining Python packages for Fedora.

Contact Info

Mailing List: [python-devel]
IRC: #fedora-python on irc.freenode.net

Members

Ignacio Vazquez-Abrams
Tim Lauridsen
Paul Nasrat
Toshio Kuratomi
Tejas Dinkar
Aurelien Bompard
José Matos
Michel Salim
Alex Lancaster
Luke Macken
Christos Trochalakis
FelixSchwarz
Dave Malcolm: interested in core Python runtimes and low-level implementation details
Martin Bacovsky

Python packages awaiting review

Package requests

  • Chandler PIM
  • itools - A python library that includes several useful tools, such as an ODF anonymizer that can be used to sanitize confidential documents before attaching them tp bug reports
  • Pyjamas web toolkit
  • Pypy - An alternate python interpreter written in a subset of python. The interpreter has better memory use than CPython and speed is closing in on Cpython. The JIT'd version is faster than CPython in many benchmarks. It is growing the ability to load CPython extension modules in the near future (work presently done on a branch).

Links

Python website
Building Python packages
Packaging TurboGears Applications
Packaging Python Eggs
Unicode in Python, Completely Demystified

Upstream Release Schedules

Python 2.7