Python for Optimization: From Basics to Pyomo & MEALPy

Master Python programming, build optimization models in Pyomo, and explore metaheuristics with MEALPy , all in one hands

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

Requirements
- Basic math knowledge (algebra, functions, simple graphs)
- Installed Anaconda + Jupyter Notebook
- No prior coding experience required, everything is explained from scratch

Description
Do you want to connect Python programming with real-world optimization and AI applications?

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

Instructor

Assoc. Prof. Shady H. E. Abdel Aleem

AI & Optimization Specialist | Industry Consultant | Research Leader

Ph.D., Electrical Power & Machines – Cairo University (2013)

Fellow, Basic Sciences Council, Academy of Scientific Research and Technology, Cairo

Senior Member, IEEE (SM’21) | Former Member, IET

State Encouragement Award (2017) | Medal of Distinction – First Class (2020)

Ranked among Stanford University’s Top 2 % Scientists Worldwide

Author of 250 + research papers and 13 books on power systems and optimization

Course Features

10 + hours of HD content

50 structured lectures with source code

All resources and datasets included

Full lifetime access on mobile & desktop

Certificate of Completion

Start Learning Today

Take the leap from Python beginner to optimization professional.

Join now and learn how to model, analyze, and optimize real-world systems using Python, the language that powers AI and scientific discovery.

Who this course is for:
- Engineering / Computer Science students who want a solid, practical start in optimization
- Researchers who need ready-to-run Python models for academic projects
- Professionals seeking to automate or optimize systems using Python tools
- Anyone curious about bridging programming + mathematical modeling + AI
More Info