Introduction to SciPy
08-30, 08:30–10:00 (Europe/Zurich), HS 118

This tutorial will provide an introduction SciPy intended for beginners.

SciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data.


This tutorial will provide an introduction SciPy intended for beginners.

You are encouraged to type along with me. To do so, please bring your laptop with a Firefox 90+ or Chromium 89+ installed. We will work through this repository: https://github.com/Vincent-Maladiere/scipy-demo.

SciPy is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python. It adds significant power to the interactive Python session by providing the user with high-level commands and classes for manipulating and visualizing data.

The tutorial will introduce notably the following topics:

  • routines for linear algebra
  • optimization routines

Abstract as a tweet

Introduction to the SciPy library for scientific computing

Domains

General-purpose Python, Statistics

Expected audience expertise: Domain

none

Expected audience expertise: Python

none

Public link to supporting material

https://github.com/Vincent-Maladiere/scipy-demo

Research Engineer at INRIA and AP-HP, I contribute to scikit-learn and focus on survival analysis.

I have a keen interest in machine learning, start-ups and biotech.

I'm a first-time speaker to EuroScipy, eager to meet the community :)