PyCon.DE 2017 Christian Staudt - The Python Ecosystem for Data Science: A Guided Tour
PyCon.DE 2017 Natalie Speiser, Jens Beyer - Data Science Project for Beginners
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PyCon.DE 2017 Hendrik Niemeyer - Synthetic Data for Machine Learning Applications
Python's Scientific Ecosystem
PyCon.DE 2017 Romain Dorgueil - Simple Data Engineering in python 3.5+ with Bonobo
PyCon.DE 2017 Yenny Cheung - Technical Lessons Learned from Pythonic Refactoring
Comprehensible Comprehensions
PyCon.DE 2017 Ami Tavory - Getting Scikit-Learn To Run On Top Of Pandas
PyCon.DE 2017 Florian Rhiem - Integrating Jupyter Notebooks into your Infrastructure
PyCon.DE 2017 Uwe Korn - Connecting PyData to other Big Data Landscapes using Arrow and Parquet
the python interface to the earth system modeling framework
ZEN OF PYTHON
PyData 101: Essential data science skills for every programmer, from data to model to visualization
Bokeh
Reuven M. Lerner - Generators, coroutines, and nanoservices || PyCon Africa 2020
PyCon.DE 2018: Interactive Visualization Of Traffic Data Using Bokeh - Dr. Patrik Hlobil
A quick glance at Python's Scientific Stack
Robust Registration of Cloudy Satellite Images Using Two-Step Segmentation
Data Science for GIS and Ecology | Data Science | Q&A