Very simple proposal. E.g. ``` >>> l = [‘a’, ‘b’] >>> l.get(0) ‘a’ >>> l.get(2) None >>> l.pop(1, default=‘c’) ‘b’ >>> l.pop(1, default=‘c’) ‘c' ```
Essentially to match them to those of a dict. Current workarounds: ``` try: a = b[n] except IndexError: a = default # and l[index] if -len(l) <= index < len(l) else default ``` Benefits: 1. Convenience 2. Easy to remember API methods for anyone used to a dict 3. Speed improvements given it’s implemented in C 4. Time saving! It took me around 7seconds to type 2nd snippet without auto-complete. So following Chris’ logic... If there are 10,000,000 python users on Stack… And we assume, that every user encounters such need at least 2 times a year (being very speculative here, would say conservative?). Saving on typing and correcting above snippet is 5sec (conservative here?). That’s ~600 days of pure code writing time saved every year. In 100 years, which python will obviously survive - that’s ~16.5 years of pure code typing time saved worldwide!
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