I often give talks at academic and programming conferences. Some of these are recorded and available online:

• Scientific Computing with Google Cloud Platform: Experiences from the Trenches in Particle Physics and Earth Sciences – Google Next, July 2018
• Dask: Parallelizing the Python Data Ecosystem with Task Scheduling – Keynote, International Conference on Data Engineering, IEEE ICDE, April 2018
• Pangeo: An open source big data science platform – Earth System Information Partners (ESIP) January 2018
• Scaling Scientific Python – Keynote American Meteorological Society, Python Symposium, January 2018
• Next Steps in Parallel Python – Keynote PyCon Germany 2017
• Streaming Analysis In Python – PyData NYC, November 2017
• Dask: Advanced Techniques – Scipy, July 2017
• Visualizing distributed computations with Dask and Bokeh – Plotcon, 2016
• Dask Scheduling – PyData DC, October 2016
• Parallel Python Tutorial – Scipy, July 2016
• Dask - SciPy, July 2016
• Dask Tutorial – materials – PyData Seattle, 2015
• Extending the Numeric Python ecosystem beyond in-memory computing (Keynote) – Machine Learning and Open Source Software workshop at ICML – July 2015. Lille, France
• Dask Arrays - Python’s Relationship with Parallelism (Keynote) – PyData Berlin 2015
• Out-of-core computations with dask.array – UCAR Software Engineering Assembly April 2015.
• Slides from SFPython meetup on Blaze
• SymPy Tutorial - Parts 1, 2, 3, and 4, SciPy 2014
• Blaze: Foundations for Array Oriented Computing at SciPy 2014
• Taking Control: Enabling Mathematicians and Scientists at SciPy 2014
• Functional Performance with Core Data Structures at PyData Silicon Valley 2014
• Functional Python at PyData NYC 2013
• A surprisingly popular lightning talk Packages Considered Slightly Harmful at SciPy
  1. Starts at 6:13
• Matrix Expresions at SciPy 2013
• Uncertainty Modeling with SymPy.stats at SciPy 2012