How does python try multiple coding methods

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Try multiple coding methods

If you use the same coding method every time you create an application, it will almost certainly lead to situations where your application is slower than it can achieve. As part of the analysis process, you can try some experiments. For example, if you manage some elements in a dictionary, you can use a secure method to determine whether the element already exists and update, or you can add the element directly and then handle the non-existence of the element as an exception. Consider the first example of coding:

N = 16myDict = {} for i in range (0, n): char = 'abcd' [I% 4] if char not in myDict: myDict [char] = 0 myDict [char] + = 1 print (myDict)

This code usually runs faster when the myDict starts to be empty. However, another approach works better when mydict is usually populated with data (or at least most of it).

N = 16myDict = {} for i in range (0, n): char = 'abcd' [I% 4] try: myDict [char] + = 1 except KeyError: myDict [char] = 1 print (myDict)

It has the same output in both cases: {'dined: 4,' clocked: 4, 'bounded: 4,' averse: 4}. The only difference is how the output is obtained. Jumping out of a fixed mindset and creating new coding skills can help you use your application to get faster results.

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