Python for Engineering

Numerical Methods

This website consists of example problems from numerical methods for engineers. The first examples apply to roots, plotting roots, maximums, mininums, and optimization problems. You have enough examples so that you become familiar with the syntax used in Python. The examples have been tested and the output of the programs are listed in the comments for each. All programs were run on Python using the Jupyter Notebook. Installation of Jupyter Notebook is detailed in the authors website at https://www.salarsen.com. All programs except PuLP will run on https://python-fiddle.com. If you have never used Python, I recommend the manual Introduction to Engineering Python: For First Year Engineering Students by Steve Larsen. It is availble on Amazon. AI is a game changer in programmming. But you still have to be able to read the code generated in Bing, Copilot, or Google! Happy programming!

Plotting roots, roots, minimums, maximums, and optimization problems.

• Plotting roots of equations with Python.
• Finding roots of equations with Python.
• Finding a minimum of an equation with Python.
• Finding a maximum of an equation with Python.
• Finding a maximum or minimum of an equation using golden-section with Python.
• Solving a pair of nonlinear equations with Python.
• Solving optimization problems with constraints using Python.
• Solving groups of linear equations with matrices using Python.