Le mercredi 14 février 2007 05:49, Paul Rubin a écrit : > Basically Python applications are usually not too CPU-intensive; there > are some ways you can get parallelism with reasonable extra effort; Basically, while not CPU intensive, application server needs to get benefit of all resources of the hardware. When a customer comes with his new beautiful dual-core server and get a basic plone install up and running, he will immediately compare it to J2EE and wonder why he should pay a consultant to make it work properly. At this time, it 's not easy to explain him that python is not flawed compared to Java, and that he will not regret his choice in the future. First impression may be decisive.
The historical explanation should be inefficient here, I'm afraid. What about the argument that said that multi threading is not so good for parallelism ? Is it strong enough ? -- _____________ Maric Michaud _____________ Aristote - www.aristote.info 3 place des tapis 69004 Lyon Tel: +33 426 880 097 Mobile: +33 632 77 00 21 -- http://mail.python.org/mailman/listinfo/python-list
