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
none
Abstract as a tweet –Introduction to the SciPy library for scientific computing
Domains –General-purpose Python, Statistics
Expected audience expertise: Domain –none
Public link to supporting material –
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 :)