To be fair, you could have done much the same thing in Python: basic_execute_command = { # snip ### SET COMMANDS ### "sadd": "Add ``value

To be fair, you could have done much the same thing in Python: basic_execute_command = { # snip ### SET COMMANDS ### "sadd": "Add ``value`` to set ``name``" , "scard": "Return the number of elements in set ``name``" , "sismember": "Return a boolean indicating if ``value`` is a member of set ``name``" , "smembers": "Return all members of the set ``name``" , "smove": "Move ``value`` from set ``src`` to set ``dst`` atomically" , "spop": "Remove and return a random member of set ``name``" , "srandmember": "Return a random member of set ``name``" , "srem": "Remove ``value`` from set ``name``" # snip } def _basic_execute_command (self, cmd): return lambda *args: self.execute_command(cmd.upper(), *args) # snip def __init__ (self, *args, **kwargs): # snip for cmd in self.basic_execute_command: self.__dict__[cmd] = self._basic_execute_command(cmd) # snip This is pretty memory-inefficient if you have several redis objects, but I'm sure you could come up with something better than what I hacked together in a few minutes. I know that Lisp ranks above Python on the metaprogramming scale, but simply adding easy object introspection can allow for cool factoring constructs that a Java (or similar) programmer wouldn't even consider. It's possible to make copy-pasta in any language.