introduce
Today, we will discuss optimization techniques in Python. In this article, you’ll learn how to speed up your code by avoiding recalculation in lists and dictionaries.
Let’s first write a decorator function to calculate the execution time of the function, which is convenient to test the speed of different code:
Avoid reevaluating in lists
Within the loop
Code:
In the above function. Append recalculates the function reference each time through the loop. Total time taken by the above function after execution:
Outside the loop
Code:
In the above function, we evaluate nums.append outside the loop and use append as a variable inside the loop. Total time:
As you can see, when we append to a local variable outside the for loop, this takes much less time and can speed up the code by 201 ms.
Avoid reevaluating in the dictionary
Inside the loop
Code:
Total time taken by the above function:
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Outside the loop
Code:
Total time taken by the above function:
As you can see, our code here is 211 milliseconds faster.