ECE-3: Python Programming for Science & Engineering

Welcome!

This is the GitHub repository for the course:

ECE-3: Python Programming for Science & Engineering.

Teaching team

From the Geometric Intelligence Lab:

• Nina Miolane: Principal Instructor
• Adele Myers: Co-Instructor
• Francisco Acosta: Co-Instructor
• Louisa Cornelis: Co-Instructor

TAs (Fall 2025): Priyanka Nagasamudra, Bariscan Kurtkaya, Mazdak Mohseni-Rajaee

Interact with the course contents

You can access and run the lecture slides and lab notebooks by clicking on the Binder link below.

Outline

• Unit 01: Welcome to Python
• Unit 02: Computing with Data in Python
• Unit 03: Summarizing and Visualizing Data in Python
• Unit 04: Predicting from Data with Machine Learning in Python

Textbooks

The content of this class relies on the following excellent textbooks:

• Unit 01: Think Python by Downey.
• Unit 02-03: Introduction to Applied Linear Algebra, by Boyd & Vandenberghe.
• Unit 04: Introduction to Statistical Learning by James, Witten, Hastie, Tibshirani, Taylor.

The textbooks are freely available online.

Syllabus

More details are on the syllabus.

Run the jupyter notebook slides

In your terminal:

conda env create -f environment.yml
python -m ipykernel install --user --name=ece3 --display-name "Python (ece3)"
jupyter notebook

Then open the slides of interest, and click Enter/Exit Rise Slideshow Icon.

Best wishes for the new quarter! ☺