Advanced Python for scientific computing and data science
Wed, 10 Apr
|UHasselt, campus Diepenbeek
Discover Python's prowess in data science: numpy, scipy, Bokeh, dashboards, performance tuning, and more! UHasselt or online.
Time & Location
10 Apr 2024, 14:00 – 17:00
UHasselt, campus Diepenbeek, Agoralaan gebouw D, 3590 Diepenbeek, Belgium
About the Event
Abstract
Python is a very useful programming language for scientific computing in general and data science in particular. In this course we focus on different aspects of the Python capabilities.
Part 1: Analysing and visualising data
You will learn more about libraries that will help you to process and analyze data more efficiently and with less effort. You will learn about and , two libraries that implement many algorithms used in scientific computing. For visualization, you will see examples of with , as well as . is a data format that is well-suited for platform and programming language independent storage of annotated data. Since geospatial data plays a more and more important role, you will also learn about and , libraries that help you reason about and query such data.numpyscipyinteractive plotsBokehmatplotlibHDF5geopandasxarray
Part 2: Python dashboards
Python offers quite some options to create interactive data dashboards and light-weight web applications. In…