Yingjie Lan wrote: > We all know that Python is dynamically typed, and dynamically typed languages > are generally slower than statically typed ones. I wonder if it is possible > at all for Python to mix statically-typed-ness with dynamically-typed-ness to > boost up its speed a little bit, especially when speed is needed. For > example, you define a function like this: > > def speed(float dist, float time): > return dist/time > > then the compiler would generate code to first check parameter types (or even > do some casts if appropriate, say cast an int into float) in the beginning of > this function. and the rest of the function would then be compiled with the > assumption that 'dist' and 'time' are of the type float. > > Of course, dynamically-typed-ness is still the same as before. Python is well > known for providing multiple programming paradigms, I wonder if we could also > sneak this in nicely. > > Any thoughts? > > > Google for "Python function annotations": the features you want are already there in the language specification.
regards Steve -- Steve Holden +1 571 484 6266 +1 800 494 3119 PyCon is coming! Atlanta, Feb 2010 http://us.pycon.org/ Holden Web LLC http://www.holdenweb.com/ UPCOMING EVENTS: http://holdenweb.eventbrite.com/ -- http://mail.python.org/mailman/listinfo/python-list
