Python Scientifique

Python for scientists

Description: The aim of this teaching unit is to train students in the tools of the Python ecosystem for scientists. It covers the use of specialized libraries for a number of major themes: scientific computing with Numpy, signal processing with Scipy, managing and processing large volumes of data with pandas, formatting results with matplotlib and an introduction to machine learning with scikit-learn.

Learning outcomes: At the end of this course, students will be able to mobilize the tools of the Python ecosystem for the experimental parts of their scientific activities.

Evaluation methods: Practical reports

Evaluated skills:

• Development

Course supervisor: Jérémy Fix

Geode ID: SPM-INF-002

External resources:

• Site du cours