Practice Programming, Data Structures And Algorithms In Python (41.1) - Memoization and dynamic programming
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Programming, Data Structures and Algorithms in Python

Practice - Programming, Data Structures and Algorithms in Python

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the base case for the factorial function?

💡 Hint: Think about the smallest value for factorial.

Question 2 Easy

How do we define the Fibonacci function recursively?

💡 Hint: Consider how each Fibonacci number is derived.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the best way to optimize recursive functions to prevent repeated calculations?

a) Use more loops
b) Add memoization
c) Avoid recursion

💡 Hint: Think about ways to remember past results.

Question 2

True or False: Dynamic Programming is an iterative optimization technique.

True
False

💡 Hint: Consider the execution order.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Implement both recursive and dynamic programming versions of the Fibonacci function in Python. Compare their performance with appropriate test cases.

💡 Hint: Use time module in Python to measure execution.

Challenge 2 Hard

Design a problem that can benefit from either memoization or dynamic programming and discuss which method is more efficient and why.

💡 Hint: Identify overlapping sub-problems and compare approaches.

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