• FOSDEM 2017 - Dask: extending Python data tools for parallel and distributed computing
• Docathon 2017, UGent - Documentation: best practices and tools
• INRIA 2017 - Introduction to pandas
• PyParis, 2017, June 12 - Pandas: what's new and what's coming
• EuroScipy, 2017, August 30 - GeoPandas - Geospatial data in Python made easy
• FOSDEM, 2018, February 4 - GeoPandas - easy, fast and scalable geospatial analysis in Python
• GeoPython, 2018, May 9 - GeoPandas - easy, fast and scalable geospatial analysis in Python
• Scipy, 2018, July 13 - Scikit-learn and tabular data: closing the gap
• FOSS4G Belgium, 2018, October 25 - GeoPandas - easy, fast and scalable geospatial analysis in Python
• EuroScipy, 2019, September 4 - Apache Arrow: a cross-language development platform for in-memory data
• FOSS4G Belgium, 2019, October 24 - GEOS in the Python ecosystem
• GeoPython, 2020, September 22 - Shapely 2.0: an improved foundation for GeoPandas and the Python geospatial ecosystem
• PyConDE/PyData Berlin, 2022, April 13 - On Blocks, Copies and Views: updating pandas' internals
• GeoPython, 2022, June 21 - State of GeoPandas
• FOSS4G, 2022, August 24 - State of GeoPandas
• FOSS4G, 2022, August 25 - Geospatial and Apache Arrow: accelerating geospatial data exchange and compute
• FOSS4G Belgium, 2022, November 17 - Geospatial and Apache Arrow: accelerating geospatial data exchange and compute
• PyData Global 2022 - On Copies and Views: updating pandas' internals
• GeoPython 2023, March 7 - Shapely 2.0
• PyConDE/PyData Berlin, 2023, April 19 - Apache Arrow: connecting and accelerating dataframe libraries across the PyData ecosystem
• PyData Amsterdam, 2023, September 14 - What the PDEP? An overview of some upcoming pandas changes
• PyData Paris, 2024, September 25 - The expanding Apache Arrow universe - standardizing and accelerating tabular data access and interchange
• GeoPython 2025 - The earth is no longer flat! - Introducing Spherely
• PyCon DE 2025 - The earth is no longer flat! - Introducing Spherely