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Python-URL! - weekly Python news and links (Jan 30)

Jan 30, 2001, 21:22 (0 Talkback[s])
(Other stories by Moshe Zadka)

Date: Tue, 30 Jan 2001 10:55:40 -0600 (CST)
From: Moshe Zadka
To: Dr.Dobb'
Newsgroups: comp.lang.python
Subject: Dr. Dobb's Python-URL! - weekly Python news and links (Jan 30)

Moments too late for last week's Python-URL!, Guido announces Python 2.1a1
available at

Tim Peters explains why "if key in dict:" is a good idea for Python 2.1
why function attributes are good
why windows beep sounds the same no matter what the frequency is

Alex Martelli explains how to use Python for web serving
implements a Pythonic boolean xor

Fredrik Lundh gives an example of sophisticated search-and-replace

Bryan Mongeau announces an implementation of AES for Python

Tim O'Malley announces a timeoutsocket that works with Python 2

Sean Reifschneider announces SRPMS for Python 2.1a1

Mark Pilgrim plugs his free Python teaching book

Albert Hopkins announces a list of Python IDE
Dr. David Mertz enhances the list a bit

Barry Warsaw announces mimelib

Carel Fellinger implements Observer pattern

Everything you want is probably one or two clicks away in these pages:'s Python Language Website is the traditional center of Pythonia
Notice especially the master FAQ

PythonWare complements the digest you're reading with the daily python url

comp.lang.python.announce announces new Python software. Be sure to scan this newly-revitalized newsgroup at least weekly.

Andrew Kuchling writes marvelous summaries twice a month of the action on the python-dev mailing list, where the future of Python is truly determined

The Vaults of Parnassus ambitiously collect Python resources

Much of Python's real work takes place on Special-Interest Group mailing lists

Python Consortium emerges as an independent nexus of activity

Cetus does much of the same

Python FAQTS

Python To-Do List anticipates some of Python's future direction

Python Journal is at work on its second issue

Links2Go is a new semi-automated link collection; it's impressive what AI can generate

Archive probing trick of the trade:

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