What are examples of problems that can be more easily solved by using recursion in Python?
inorder, preorder, postorder traversals of tree is the best examples of problems that can be more easily solved by using recursion.
inorder:
--------------
def inorder(tree):
if(tree!=None):
inorder(tree.left)
print(tree.data)
inorder(tree.right)
preorder:
-------------
def preorder(tree):
if(tree!=None):
print(tree.data)
preorder(tree.left)
preorder(tree.right)
postorder:
---------------
def postorder(tree):
if(tree!=None):
postorder(tree.left)
postorder(tree.right)
print(tree.data)
But these algorithms are most helpful to understand if you know the concepts of binary trees.
Easy example to explain is fibonacci series problem
fibonacci:
------------
def fibonacci(n):
if(n == 0):
return 0
elif(n == 1):
return 1
else:
return fibonacci(n-1)+fibonacci(n-2)
So, base cases are when n==0 and n==1
and recursive case is when n>1

What are examples of problems that can be more easily solved by using recursion in Python?
Fibonacci sequence is famous problem solved with recursion. However, this can also be done more efficiently using dynamic programming. Create a program that uses dynamic programming techniques to list the first 30 Fibonacci numbers.
Recursion is one way of implementing recursion in programs to solve complex problems. Select one of the following three common computer science problems and describe how recursion can be used to solve this problem more efficiently (sorting, minimum cost spanning tree, knapsack problem). You must generally describe the algorithm that would be used to solve the problem and detail how recursion makes the algorithm more asymptotically efficient.
Recursion is one way of implementing recursion in programs to solve complex problems. Select one of the following three common computer science problems and describe how recursion can be used to solve this problem more efficiently (sorting, minimum cost spanning tree, knapsack problem). You must generally describe the algorithm that would be used to solve the problem and detail how recursion makes the algorithm more asymptotically efficient.
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