The Python Data Visualization Landscape in 2020

The Python Data Visualization Landscape in 2020

Explore the diverse Python data visualization landscape in this 31-minute conference talk from EuroPython 2020. Gain insights into the most important visualization libraries, including Matplotlib, Plotly, Bokeh, and Altair. Discover rapidly evolving dashboarding solutions such as Dash, Panel, and Voila. Learn about the main characteristics and inspirations behind each library, as well as recent developments in the field. Ideal for those with basic experience working with data in Python who want to enhance their understanding of data visualization tools. While some knowledge of pandas DataFrames is beneficial, it's not required to follow along with the examples provided.