Hi, all. I have an application that that creates, manipulates, and finally archives on disk 10^6 instances of an object that in CS/DB terms is best described as a relation.
It has 8 members, all of them common Python datatypes. 6 of these are set once and then not modified. 2 are modified around 4 times before the instance's archving. Large collections (of small lists) of these objects are created, iterated through, and sorted using any and all of the 8 members as sorting keys. It neither has nor needs custom methods. I used a simple dictionary to create the application prototype. Now I need to speed things up. I first tried changing to a new style class, with __slots__, __init__, __getstate__& __setstate__ (for pickling) and was shocked to see things SLOW down over dictionaries. So of these options, where should I go first to satisfy my need for speed? 0. Back to dict 1. old style class 2. new style class 3. new style class, with __slots__, with or without some nuance I'm missing. 4. tuple, with constants to mark the indices 5. namedTuple 6. other... -- http://mail.python.org/mailman/listinfo/python-list
