Dynamic Programming, Recursion, Python, Coding Tutorial, Python Programming.
fib(n): if n <= 0: # base case 1 return 0 if n <= 1: # base case 2 return 1 else: # recursive step return fib(n-1) + fib(n-2) numbers = 20 As you can see, in the code of the dynamic solution we’ve added the ability to store old results (line 12) before moving onto the next recursive step (lines