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, 09:00 – 13:00
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 numpy and scipy, two libraries that implement many algorithms used in scientific computing. For visualization, you will see examples of interactive plots with Bokeh, as well as matplotlib. HDF5 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 geopandas and xarray, libraries that help you reason about and query such data.
Part 2: Python dashboards
Python offers quite some options to create interactive data dashboards and…