Data Scientists and GIS Users can now take advantage of LiDAR processing in Numpy & Pandas, two python libraries used for processing and making meanings from "Big Data".
The following script serves as an example of how LiDAR tiles can iteratively be read into Numpy arrays or Pandas DataFrames.
It is up to the user to determine what python machine learning libraries you want to feed the data into.
ex: SciKit Learn
Once features have been detected data can be converted back to Points, lines or polygons in ArcGIS Pro using one of the following libraries:
**Expect an update in the near future supporting reading from LAS Datasets also**
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