Practice Using Queues For Exploration (35.4) - Sets, stacks, queues - Data Structures and Algorithms in Python
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Using Queues for Exploration

Practice - Using Queues for Exploration

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does FIFO stand for?

💡 Hint: Think about which item in a queue leaves first.

Question 2 Easy

How do you add an item to a queue in Python?

💡 Hint: Look into list functions!

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a key characteristic of a queue?

First-In-First-Out
Last-In-First-Out
Non-linear

💡 Hint: Think about how items are removed from the queue.

Question 2

True or False: A queue can be implemented using a list in Python.

True
False

💡 Hint: Consider the methods available for lists.

3 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design and implement a Python function that uses breadth-first search to determine the shortest path from a starting grid cell to a target cell. Outline the edge cases that must be handled.

💡 Hint: Consider how you would manage the marking of cells to avoid re-exploration!

Challenge 2 Hard

Given a particular configuration of knight moves on a chessboard, describe a breadth-first search algorithm to find all reachable squares from a given starting position. Discuss the complexity of this algorithm.

💡 Hint: Write down the knight's possible moves and how they'd affect the number of squares explored.

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Reference links

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