In article <[EMAIL PROTECTED]>, John Salerno <[EMAIL PROTECTED]> wrote:
> One of the things I learned with C# is that it's always better to handle > any errors that might occur within the codes itself (i.e. using if > statements, etc. to catch potential out of range indexing) rather than > use too many try/catch statements, because there is some overhead every > time the program encounters the try. > > Is this the case at all with Python, in terms of extra work or slower > speed? Or is try/except implemented differently in Python than it is in > other languages, so that it runs just like any other code? > > Thanks. Repeat after me: "Python is not <fill in name of your favorite language>" In C++ (and, I assume, C#), exception handling is relatively expensive, and is avoided for this reason. It's also avoided (in C++, anyway) because it's only in the past few (5-10) years that you could pretty much count on whatever compiler you were using implementing them correctly. Lastly, many C++/C# programmers came from C, where exceptions don't exist, so they're not used to using them. But, that's not Python. In Python, exceptions work as advertised, and they're cheap. The pythonic way to do things is to embrace the maxim that "it's easier to ask forgivness than to ask permission". It is usually cleaner and faster to write a try block than an if statement. For example, I'll write: try: x = foo[y] except IndexError: blah instead of if y < len (foo): x = foo[y] else: blah every time. -- http://mail.python.org/mailman/listinfo/python-list
