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The Python Data Visualization Landscape in 2020


Python offers many different data visualization libraries, and the sheer number of alternatives can be daunting to newcomers.

This talk aims to introduce the most important visualization libraries, covering Matplotlib, Plotly, Bokeh and Altair, among others. It also provides a summary of the quickly developing dashboarding solutions, including Dash, Panel and Voila.

The goal of talk is not just to provide a simple list of libraries, but also to highlight the main characteristics and inspirations for each, and summarize the recent developments as well.

This talk is aimed to people who have some basic experience working with data in Python and would like to get a better understanding of the data visualization tool landscape. Some existing knowledge of pandas DataFrames is beneficial for understanding the examples, but not required.

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