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Let's have a method that would cache results it calculates. "If" approach : def calculate1(input_values): if input_values not in calculate1.cache.keys(): # do some calculation result = input_values calculate1.cache[input_values] = result return calculate1.cache[input_values] calculate1.cache = {} "Except" approach : def calculate2(input_values): try: return calculate2.cache[input_values] except AttributeError: calculate2.cache = {} except KeyError: pass # do some calculation result = input_values calculate2.cache[input_values] = result return result "get/has" approach : def calculate3(input_values): if not hasattr(calculate3, cache): calculate3.cache = {} result = calculate3.cache.get(input_values) if not result: # do some calculation result = input_values calculate3.cache[input_values] = result return result Is there another (faster) way? Which one is most pythonic ? Which one would you use? Note : There's a speed difference: calculate = calculateX # depening on test run for i in xrange(10000): calculate(datetime.utcnow()) Results time python test.py : calculate1: 0m9.579s calculate2: 0m0.130s calculate3: 0m0.095s

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