Solving Sudoku Puzzles in Python have become quite popular among people of all ages, and it can be a fun and challenging problem to solve with Python. In this post, we will walk you through how to solve Sudoku puzzles in Python using a technique called backtracking.
Sudoku Puzzles solving in Python
To solve Sudoku puzzles in Python, we need to follow a step-by-step approach that involves finding the empty cells, checking the validity of the numbers, and then using backtracking when we come across an invalid solution.
Finding the Empty Cells
The first step in solving a Sudoku puzzle is to find the empty cells. We can represent the Sudoku puzzle as a 9×9 grid and use a loop to iterate through each cell and look for any empty cell. Once we find an empty cell, we can assign a number to it.
Checking the Validity of the Numbers
After finding the empty cells, we need to check the validity of the numbers. We can do this by checking if the assigned number is valid for the row, column, and the 3×3 box it belongs to. If the assigned number is not valid, we backtrack to the previous cell and try a different number until we find a valid one.
Backtracking
When we assign a number to a cell, we need to check if it is valid for the row, column, and the 3×3 box it belongs to. If the assigned number is not valid, we need to backtrack and try a different number until we find a valid one. This is where the backtracking algorithm comes into play.
The backtracking algorithm works by trying out all possible solutions and backtracking when it finds an invalid solution. It does this by recursively assigning numbers to each empty cell until it finds a solution, or it runs out of valid numbers to try.
In conclusion, solving Sudoku puzzles in Python can be an interesting and fun problem to solve. By following the step-by-step approach, we can easily find solutions to Sudoku puzzles using backtracking algorithms. With this knowledge, you can create your own Sudoku puzzle solver using Python programming.
Want to learn more about Python, checkout the Python Official Documentation for detail.