Optimization with Python: Solve Operations Research Problems
- All prices mentioned above are in United States dollar.
- This product is available at Udemy.
- At udemy.com you can purchase Optimization with Python: Solve Operations Research Problems for only $529.00
- The lowest price of Optimization with Python: Solve Operations Research Problems was obtained on June 15, 2026 12:18 am.
Original price was: $84.99.$10.00Current price is: $10.00.
Best deal at: 
udemy.com
Buy for best price
udemy.com
Set Lowest Price Alert
×
Notify me, when price drops
Set Alert for Product: Optimization with Python: Solve Operations Research Problems - $529.00
Price history
×
| Price history for Optimization with Python: Solve Operations Research Problems | |
|---|---|
|
Latest updates:
|
|
Optimization with Python: Solve Operations Research Problems
Original price was: $84.99.$10.00Current price is: $10.00.
Description
| Price history for Optimization with Python: Solve Operations Research Problems | |
|---|---|
|
Latest updates:
|
|
Didn't find the right price? Set price alert below
Set Alert for Product: Optimization with Python: Solve Operations Research Problems - $529.00
Optimization with Python: Solve Operations Research Problems
★★★★★
$529.00 in stock
Udemy.com
as of June 15, 2026 12:18 am
Solve optimization problems with CPLEX, Gurobi, Pyomo... using linear programming, nonlinear, evolutionary algorithms...
Created by:
Rafael Silva Pinto
Optimization and Data Science Consultant, PhD
Optimization and Data Science Consultant, PhD
Rating:4.51 (1693reviews)
12147students enrolled
What Will I Learn?
- Solve optimization problems using linear programming, mixed-integer linear programming, nonlinear programming, mixed-integer nonlinear programming,
- LP, MILP, NLP, MINLP, SCOP, NonCovex Problems
- Main solvers and frameworks, including CPLEX, Gurobi, and Pyomo
- Genetic algorithm, particle swarm, and constraint programming
- From the basic to advanced tools, learn how to install Python and how to use the main packages (Numpy, Pandas, Matplotlib...)
- How to solve problems with arrays and summations
Requirements
- Some knowledge in programming logic
- Why and where to use optimization
- It is NOT necessary to know Python
Target audience
- Undergrad, graduation, master program, and doctorate students.
- Companies that wish to solve complex problems
- People interested in complex problems and artificial inteligence
Price History
| Price history for Optimization with Python: Solve Operations Research Problems | |
|---|---|
|
Latest updates:
|
|
There are no reviews yet.