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.

ABOUT THE AUTHOR

Rahul Banerjee

Energetic and passionate 4th-year Computer Engineering student with experience in working in an Agile environment. Experienced in React, Flask, JavaScript, and SQL.

Learn more about Rahul

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