Events, The Modern Object Orientation — John Bywater
Citizen Science with Python — Ian Ozsvald
Data Science with Python — Past, Present and Future — Radovan Kavický
Moving ML from Notebook to Production — Matas Šeimys
Computer Aided Innovation: State of the Art — Andrius Žilėnas
Pitfalls of Emotion Detection from Video in Production — Justin Shenk
Data Pipelines: Slice and Dice Your Data — Oleg Shydlouski
Python Automated Text Processing for Space Analog Facilities — Inga Popovaitė
Challenges Productionizing Apache Spark Workloads — Chetan Khatri
Data Science at PMI: Tools of the Trade — Maciej Marek
Fun with Histograms and the physt Library — Jan Pipek
Geodata Processing with Python and JupyterHub — Martin Christen
Maintaining a Python Project When It's Not Your Job — Hynek Schlawack