2020 Complete Pyomo Bootcamp: Python Optimization Beginners
Complete online programming guide on how to learn skills to build your decision analysis projects in Pyomo Jupyter
What you’ll learn
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Write simple and complex pyomo models
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LP, MIP, MINLP, NLP ,QCP, MIQCP
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How to mathematically formulate your optimization problems in Python?
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Practice Exercises to Confirm the Learnings
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How to find the duality coefficients of the constraints ?
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Build the skills you need to get your first Operation research / Optimization job /OR Scientist position
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Build a complete understanding of Pyomo models from the ground up!
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How to start coding your optimization problem in Python (pyomo)? Linear programming, Mixed Integer programming, Quadratic programming, Non-linear Programming
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Is it suitable for Mechanical engineering ? Yes, for example : design problems
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Is it suitable for Chemical engineering ? Yes, for example : optimal design of chemical systems, optimal operation of chemical units, pooling-blending, optimal control of a process and etc.
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Is it suitable for Electrical engineering ? Yes, for example : optimal operation and planning of power plants, optimal power flow and etc.
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Is it suitable for Civil engineering ? Yes for example in traffic management, bridge design , reinforcement planning and etc.
Requirements
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You’ve either already got it or it’s FREE. Here’s the checklist:
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No extensive prior knowledge of Python is required
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Your enthusiasm to learn this go-to programming language
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A desire to learn new concepts like Python coding
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A passion for decision making and optimisation
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A computer – Windows, Mac, and Linux are all supported
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Setup and installation instructions are included for each platform.
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No need for any licence to run your codes
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It’s a valuable lifetime skill which you can’t un-learn!
Who this course is for:
- Anyone who needs to make some sort of decisions
- Any discipline that requires optimization and decision making
- Academics or industry experts in operation research and optimization
- Entrepreneurs
- Business Owners involved in Energy/Healthcare/Service providers/ and other industries
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