Bokeh is a Python library for creating interactive visualizations for modern web browsers. Following a quick introduction of how Bokeh can help you visualize data with Python, this talk will briefly highlight the most important new features and improvements in Bokeh's brand-new 2.4 version.
With Bokeh, you can use Python to create interactive, browser based visualizations - without having to write any JavaScript yourself. Bokeh helps you build visualizations ranging from simple plots to complex dashboards with interactive widgets. And Bokeh plots also work in Jupyter notebooks!
Bokeh's recently released version 2.4 brings several exciting developments. For example: For the first time, you can now use LaTeX directly in Bokeh plots and widgets. And with large parts of Bokeh's documentation rewritten and updated, it is now not only easier to use Bokeh, but also to contribute to Bokeh.
The next big step for Bokeh will be version 3.0. A major focus will be better compatibility with existing web frameworks and improving acessibility, for example.