![]() The default parameter now isn't a major effect (and the partial function is just overhead). Even with the overhead of the partial function it still runs quicker than with the base implicit. Where supplying the base= explicitly makes the code run three times faster - about as fast as the float. Print(timeit("baseten('500')", "from _main_ import baseten")) Print(timeit("int('500',10)")) # specify base explicitly It seems to be to do with how Python2.7 handles default values for named parameters. Interestingly, it's not faster with pypy. Related: "Why is float() faster than int()?" on SO ![]() %timeit int("500", 10) # base set, shortcut taken!ġ000000 loops, best of 3: 328 ns per loop 'int' type has been removed: no more overflow checking.better type checking: no need to handle classic classes, bypass _getattr_.Note that python 3 do the same but it's faster because: Return string_to_int(foo, base) // shortcut If base = -909: // base unset, foo could be a string, or a float, or. The problem is that if you don't specify a base, python doesn't know the type of the argument so heavier type checking is necessary. When you use int(), it uses a general-purpose string to int routine that handles all bases from 2 to 36, which involves a general purpose character-to-int function call that handles arbitrary bases.Īctually, int("500") is same as int("500", -909) which sets the base to 10. Introduction to Programming with Python (from Microsoft Virtual Academy)./r/git and /r/mercurial - don't forget to put your code in a repo!./r/pyladies (women developers who love python)./r/coolgithubprojects (filtered on Python projects). ![]()
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