JupyterLab is, without doubt, one of the best tools for doing data science. It is designed to be extensible and customisable, and in fact, there are a lot of extensions available.

As a geospatial data scientist, I was thinking about some of the JupyterLab extensions I often use after a fresh installation of Anaconda Environment. And I realise I missed some of those extensions and thought about their importance in my JupyterLab experience.

In this article, I am going to share four favourite and essential JupyterLab extensions for doing Spatial data science with JupyterLab. These are specific tools for rendering maps or geospatial data inside JupyterLab.

#gis #jupyter-notebook #towards-data-science #data-science #geospatial