| File Name: | Python for Optimization: From Basics to Pyomo & MEALPy |
| Content Source: | https://www.udemy.com/course/python-for-optimization-from-basics-to-pyomo-mealpy |
| Genre / Category: | Programming |
| File Size : | 3.8 GB |
| Publisher: | Shady Abdel Aleem |
| Updated and Published: | October 11, 2025 |
This course takes you step-by-step from the very basics of Python to solving advanced optimization problems using Pyomo and MEALPy inside Anaconda / Jupyter Notebook. You’ll learn to write efficient code, model mathematical problems, handle data with Pandas and NumPy, and apply both deterministic and metaheuristic optimization methods.
By the end of the course, you will be able to:
- Design and solve optimization problems such as the Traveling Salesman Problem and N-Queens
- Compare exact Pyomo solvers with MEALPy’s population-based algorithms
- Build GUI applications and connect optimization with AI fundamentals
This course is structured for beginners to intermediate learners who want practical, research-oriented skills. All notebooks, datasets, and source codes are provided, ready to run in both online and offline environments.
What You’ll Learn:
- Write clean, organized Python programs with control flow and functions
- Apply Object-Oriented Programming (OOP) using classes, inheritance, and polymorphism
- Manipulate and analyze data with Pandas and NumPy
- Formulate and solve linear, nonlinear, and integer problems in Pyomo
- Implement multi-objective techniques: Weighted Sum, Epsilon-Constraint, and Goal Programming
- Model binary systems such as TSP and N-Queens
- Design graphical interfaces using Tkinter
- Use MEALPy to implement and tune metaheuristic algorithms (PSO, GA, GWO, etc.)
- Evaluate and visualize optimization results with SciPy and Matplotlib
- Understand how optimization integrates with AI pipelines and decision systems
All in one integrated package of 50 lectures, 10 hours of HD video, and 40 + code demonstrations.
Requirements:
- Basic math knowledge (algebra, functions, simple graphs)
- Installed Anaconda + Jupyter Notebook
- No prior coding experience required, everything is explained from scratch
DOWNLOAD LINK: Python for Optimization: From Basics to Pyomo & MEALPy
Python_for_Optimization_From_Basics_to_Pyomo_MEALPy.part1.rar – 1000.0 MB
Python_for_Optimization_From_Basics_to_Pyomo_MEALPy.part2.rar – 1000.0 MB
Python_for_Optimization_From_Basics_to_Pyomo_MEALPy.part3.rar – 1000.0 MB
Python_for_Optimization_From_Basics_to_Pyomo_MEALPy.part4.rar – 881.5 MB
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