Courses and Presentations about PySAL

Users can begin the journey with PySAL by exploring the courses, workshops, tutorials, and presentations:

Books

• Rey, S., Arribas-Bel, D., & Wolf, L. J. (2023). Geographic data science with python. Chapman and Hall/CRC.
• Anselin, L., & Rey, S. J. (2014). Modern spatial econometrics in practice: A guide to GeoDa, GeoDaSpace and PySAL

Courses

• Spatial Data Science for Social Geography: a course developed and taught in person at Charles University in Prague since 2023 by Dr. Martin Fleischmann
• Arribas-Bel, Dani. (2019). A course on geographic data science. Journal of Open Source Education, 2(16), 42.: a course designed by Dr. Dani Arribas-Bel and delivered in its latest instance at the University of Liverpool in the Autumn of 2021

Workshops and Tutorials

• GISRUK 2025 on Urban Morphology with Python
• SciPy India 2020
• SpatialAPI 2020
• NARSC 2020
• SciPy 2020
• NARSC 2019
• GeoComputation 2019
• SciPy 2019
• FOSS4G 2019
• NARSC 2018
• SciPy 2018
• GeoPython 2018
• NARSC 2017
• SciPy 2016
• UCGIS 2016
• NARSC 2015
• AUERS 2015
• Tour of PySAL 2015
• FOSS4G 2015
• MASGIS 2015
• FOSS4G 2014
• GIScience 2014
• NARSC 2013

Presentations

• SciPy India 2020 Keynote
• SciPy 2018 Neighborhood dynamics
• SciPy 2015 Tests for spatial effects in the discrete Markov chains model
• CyberGIS 2013
• ESRI UC 2012
• SciPy 2012
• PyCon 2012 US
• SciPy 2009

PySAL Notebooks Project

The PySAL Notebooks project is a work in progress bringing together a collection of tutorial materials from across the library. The live version is available here