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high performance python tips

http://www.jeffknupp.com/blog/2013/06/30/pythons-hardest-problem-revisited/ Quoted from http://ict.swisscom.ch/2015/02/pyperformance/  I/O bound problems can make good use of multi-threading (where the GIL is released during I/O) or asynchronous programming. CPU-bound problems can be addressed by better algorithms (nothing beats an algorithm with less computational complexity), using … Continue reading

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