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

## Parsing chemical equations
We’ll use the `chemparse` library to parse the reactants and products. The parse function `parses` the equations. The function will expect an input similar to the one below:

$$Zn + HCl \rightarrow ZnCl_{2} + H_{2}$$

We can split using `->` to get the left-hand side and the right-hand side.


# Parsing chemical equations
We’ll use the `chemparse` library to parse the reactants and products. The parse function `parses` the equations. The function will expect an input similar to the one below:

$$Zn + HCl \rightarrow ZnCl_{2} + H_{2}$$

We can split using `->` to get the left-hand side and the right-hand side.


Learn how to balance chemical equations using linear programming.  

Problem: Balancing Chemical Equations, Part II

Learn how to balance chemical equations using linear programming.