Practice Writing Efficient Code: Best Practices (10.4) - Write Efficient and Well-Organized Code for Complex Problem-Solving
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Writing Efficient Code: Best Practices

Practice - Writing Efficient Code: Best Practices

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does time complexity refer to?

💡 Hint: Consider how we measure the speed of algorithms.

Question 2 Easy

Name one space-efficient data structure.

💡 Hint: Think of data structures that help store information efficiently.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

Which of the following is NOT a method for optimizing time complexity?

Using hash maps
Utilizing nested loops
Choosing the optimal algorithm

💡 Hint: Think about which option could slow down your code.

Question 2

True or False: Memoization is used to speed up recursive functions.

True
False

💡 Hint: Consider how caching works.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Create a function that calculates Fibonacci numbers efficiently using memoization and explain its time and space complexity.

💡 Hint: Consider how you can store results of previous computations.

Challenge 2 Hard

Design a system that handles user requests in a priority order using heaps. Explain optimization aspects regarding both time and space.

💡 Hint: Think about how the data structure manages priorities.

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Reference links

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