Visual data exploration with python
Senior data scientist, scieneers
Nico is a senior data scientist at Scieneers and a passionate tech enthusiast that loves to dive into technical details. Currently, his work focuses on cross-domain recommender systems and NLP. Aside of that, he hosts the german tech-podcast Techtiefen.
This workshop provides an overview of five different python plotting libraries, to give you impression of their methodology and coding-style so that you can choose one that fits best to your needs. Especially we will have a look on libraries interactive features, will bring life to some static charts using panel and combine multiple visualizations into a powerful dashboard.
By the end of the workshop, you will have a good overview of the python plotting and dashboarding eco-system.
Introduction to Visual Data Exploration and important concepts
An overview and introduction of common plotting libraries (Plotly, Altair, ..)
An overview of libraries for interactive dashboards (Voila, Streamlit, Panel)
expected previous knowledge/experience: Basic Python knowledge
software: Installed Python / Jupyterlab