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I thought it would be interesting to use the same to get some actual benchmarks based on the same. Last week, while preparing for a presentation - Contrasting Java and Dynamic Languages, I came across this interesting Perl/Python/Ruby Comparison which focused on comparing the code style of different languages. This post compares performance across various languages for a specific micro benchmark (actually it isn't really a microbenchmark - it is simply a benchmark for a specific piece of logic - but thats the closest word I could think of). Given the comments I've received and some of the links I've seen to this post, if I was to make this posting anew, I would choose to assign the title of this post as "Implementing an identical object oriented solution to the Josephus Problem in Java / C++ / Ruby / JRuby / Python / Jython / Groovy and measuring the performance results thereof." I emphasise once again that I have carefully indicated in the original post that this is but one of many possible microbenchmarks and that you should treat the results as one of many data points. X is 100 times faster than Y, X faster than Z).
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#OPENLCA 数据库 UPDATE#
Update (README CAREFULLY) : I am starting to see hyperlinks to his post with only some of the findings being treated as the link title (eg.