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Master Linear Programming in Python with PuLP

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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.

We make optimization decisions every day. To improve the performance of your applications, computers need to do the same. This c...Show More

WHAT YOU'LL LEARN

Get introduced to different solvers and algorithms for optimization

Solve real-world linear optimization examples

Learn how to use the PuLP library for linear optimization

Get introduced to different solvers and algorithms for optimization

Content

13 Lessons2 Quizzes

Introduction to Linear Programming and Optimization

Real-life Examples of Linear Programming in Python

Introduction to Python and PuLP

Linear Programming Algorithms

Solvers in PuLP

Problem: Maximizing Car Sales Profits Using PuLP

Quiz: Linear Programming, Python, and PuLP

Problem: Solving Sudoku Using PuLP, Part I

Problem: Solving Sudoku Using PuLP, Part II

Problem: Balancing Chemical Equations, Part I

Problem: Balancing Chemical Equations, Part II

Quiz

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Certificate of Completion

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Course Author:

Rahul Banerjee

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