PyCon.DE 2018: Prototyping To Tested Code - Christopher Prohm
PyCon.DE 2018: Solving Data Science Probs With A Jupyter Notebook And SAP HANA's Libs - F. Gottfried
PyCon.DE 2018 LT: Jupyter Notebook Best Practices
PyCon.DE 2018 LT: Repository Line Length Analysis - Peer Wagner
PyCon.DE 2018: Cloud Chat Bot For Lazy People - Björn Meier
Markus Tacker - Integration testing a cloud native application with JavaScript｜Øredev 2019
Big picture software testing unit testing, Lean Startup, and everything in between PyCon 2017
PyCon.DE 2018: Keeping Your Data Secure While Learning From It - Andreas Dewes and Katharine Jarmul
PyCon.DE 2018 LT: Analyzing Twitter Data - Fabian Gebhart
PyCon.DE 2018: Germany's Next Topic Model - Thomas Mayer
T. Boddy “Introducing CHAP: A program to clarify dynamic memory usage in un-instrumented cores"
Python as a tool to boost productivity in (electronic) product and system development.
"Python product dev tools for electronics" - Barrie Duncan (Kiwi Pycon X)
How to deploy machine learning models to production (frequently and safely) - PyCon APAC 2018
PyCon.DE 2017 Uwe Korn - Connecting PyData to other Big Data Landscapes using Arrow and Parquet
Philip James - API-Driven Django - PyCon 2018
Matt Bachmann - Better Testing With Less Code: Property Based Testing With Python - PyCon 2016
Susan Tan - Let's read code: the requests library - PyCon 2016
An Introduction to Hardware Drivers in MicroPython - Carlos Pereira Atencio - PyLondinium19
Zags Zagorsky - Rapid Prototyping in Django
