Can you explain the backtracking algorithm in Python?

Can you explain the backtracking algorithm in Python?

Sure! The backtracking algorithm is a problem-solving technique that incrementally builds candidates for solutions and abandons a candidate as soon as it is determined that it cannot lead to a valid solution.

Can you give me an example of how it works?

Absolutely! A classic example is solving a maze. You start at the entrance and explore paths recursively, backtracking when you hit a dead end.

How would I implement this in Python?

You can implement it using recursion. Define a function that takes the current position and checks if it's the goal. If not, explore adjacent positions and backtrack if necessary.

What are some common problems that use backtracking?

Common problems include the N-Queens problem, Sudoku solver, and generating permutations or combinations.