[juliohm]

Geospatial Data Science with Julia presents a fresh approach to data science with geospatial data and the Julia programming language. It contains best practices for writing clean, readable and performant code in geoscientific applications involving sophisticated representations of the (sub)surface of the Earth such as unstructured meshes made of 2D and 3D geometries.

[eigenket]

Are you a bot? Why did you copy and paste the top paragraph of the linked page?

[forgotpwd16]

Seems to be the author and copied it as some form of abstract. @juliohm no need to be doing that.