  PySensors is a Python package for selecting and placing a sparse set of
sensors for classification and reconstruction tasks. Specifically, PySensors
implements algorithms for data-driven sparse sensor placement optimization for
reconstruction (SSPOR) and sparse sensor placement optimization for
classification (SSPOC). In this work we provide a brief description of the
mathematical algorithms and theory for sparse sensor optimization, along with
an overview and demonstration of the features implemented in PySensors (with
code examples). We also include practical advice for user and a list of
potential extensions to PySensors. Software is available at
https://github.com/dynamicslab/pysensors.
