pulp.tar.gz

pulp

We make optimization decisions every day. To improve the performance of your applications, computers need to do the same. This course will help you optimize computing functions through the open-source Python library PuLP.

In this course, you’ll learn about linear programming, an optimization approach that maximizes or minimizes functions through defined algebra, and the PuLP library along with its various optimizers available via APIs. You’ll identify the variables and constraints of computing functions and define the optimization goals. You’ll then learn and practice common linear programming algorithms. Finally, you’ll be introduced to potential applications in the real world.

By the end of the course, you will be able to optimize computing functions using Python and PuLP.

Master Linear Programming in Python with PuLP

# What is Sudoku?

**Sudoku** is a logic-based number-placement game. It consists of a square grid in which some boxes are filled with a number, andmost of the boxes are left empty. The goal of the game is to fill those empty boxes with numbers according to the rules below.


> **Note:** The word _Sudoku_ comes from the Japanese expression **Sūji** was **dokushin ni kagiru** (where the numbers are restricted to single status).


## Rules

Following are the rules for playing Sudoku:

- Each box must have a digit between 1 to 9 (inclusive).

- Each row should contain all the digits from 1 to 9 with no repeating digits.

- Each column should contain all the digits from 1 to 9 with no repeating digits.

- Each sub-grid ( the nine smaller boxes) must also contain all the digits from 1 to 9 with no repeating digits.

- A box can have only one digit.

Learn how to solve the Sudoku problem in linear programming given a set of constraints.


Problem: Solving Sudoku Using PuLP, Part I

Learn how to solve the Sudoku problem in linear programming given a set of constraints.