I work for Anaconda

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
- Starts at 6:13

- Matrix Expresions at SciPy 2013
- Uncertainty Modeling with SymPy.stats at SciPy 2012