M1 Scientific programming with Python

Python for
scientific thinking.

Learn to turn questions, measurements, and observations into clear, reproducible analysis.

Open Python documentation
01 / code
03 / insight
>> data mean = 4.2 plot(x, y)
question data evidence

The curriculum

Small steps.
Scientific habits.

Short, focused resources to help you become confident with Python for scientific work.

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About the instructors

Teaching the path from health data to intelligence.

Portrait of Sandrine Muller

Sandrine Muller, Eng. Msc., PhD is a Chaire de Professeur Junior and Tenure-track Assistant Professor leading the Health Data Integration and Exploitation team in AI for health.

Her work brings together biomedical data, reproducible analysis, and machine learning. In this course, she makes the assumptions between a physical molecule and an AI-ready representation visible.

Portrait of Benoît Lemaire

Benoît Lemaire, MCU, UGA is a Asst. Professor at the University of Grenoble Alpes in informatics and cognitive science.

His research focuses on the intersection of informatics and cognitive science to better understand how the human brain works.

Sessions pratiques

Mettre en pratique les concepts.