Videos of Talks and Presentations
Below I list a few of the talks, lectures, and tutorials I've given for which video is available online.
~ Updated January 2017 ~
July, 2017
PyData 101
PyData Seattle 2017: a 1-hour invited keynote. [Video|slides]
May, 2017
The Unexpected Effectiveness of Python in Science
PyCon 2017: a 1-hour invited keynote. [Video|slides]
May, 2017
Python's Visualization Landscape
PyCon 2017: a 30-minute submitted talk. [Video|slides]
May, 2016
Statistics for Hackers
PyCon 2016: a 40-minute submitted talk. [Video|slides]
July, 2015
The State of the Stack
SciPy 2015: a 1-hour invited keynote. [Video|slides]
April, 2015
Losing Your Loops: Fast Numerical Computing with NumPy
PyCon 2015: A 30 minute submitted talk. [Video|slides]
April, 2015
Machine Learning with Scikit-Learn
PyCon 2015: A 3.5 hour introductory tutorial on Scikit-learn. [Video|notebooks]
July, 2014
Frequentism and Bayesianism: What's The Big Deal?
SciPy 2014: A 3.5 hour introductory tutorial on Scikit-learn. [Video|proceedings paper|slides]
April, 2014
Exploring Machine Learning with Scikit-Learn
PyCon 2014: A 3.5 hour introductory tutorial on Scikit-learn. [Video|notebooks]
November, 2013
Machine Learning with Scikit-Learn
PyData NYC 2013: A 1.5 hour advanced tutorial on Scikit-learn. [Video| notebook]
November, 2013
Efficient Computing with NumPy
PyData NYC 2013: A 1:30 advanced tutorial on NumPy. [Video| notebook]
November, 2013
Timeseries Analysis in SciDB
PyData NYC 2013: A half-hour talk on using SciDB in Python. [Video]
October, 2013
Unlocking the Universe with Python and LSST
RuPy 2013: A 40 minute talk on LSST for non-astronomers. [Video]
June, 2013
Opening Up Astronomy with Python and AstroML
Scipy 2013: A 20 minute talk about the astroML project [Video]
June, 2013
An Introduction to Scikit-learn
Scipy 2013: An eight-hour marathon scikit-learn tutorial co-taught with Gael Varoquaux and Olivier Grisel. Notebooks and supporting material available on GitHub.
Videos: [Part 1.1] [Part 1.2] [Part 1.3] [Part 2.1] [Part 2.2]
March, 2013
Interactive Data Visualization with Matplotlib
PyData 2013: A one-hour tutorial covering the tools to create dynamic and interactive visualizations with Matplotlib. Notebooks and other supporting material are available on GitHub. [Video]
March, 2013
An Introduction to Scikit-Learn
PyCon 2013: A three-hour tutorial introducing Machine Learning and Scikit-learn. Notebooks and other supporting material are available on GitHub. [Video]
November, 2012
Scikit-Learn Tutorial
PyData NYC 2012: A 45-minute tutorial introducing Machine Learning and Scikit-learn. Notebooks and other supporting material are available at http://astroML.org/sklearn_tutorial. [Video]
November, 2012
Object Oriented Matplotlib
PyData NYC 2012: A 45-minute tutorial introducing plotting with Matplotlib. Notebooks and other supporting material are available on http://jakevdp.github.io/mpl_tutorial/. [Video]
November, 2012
Lightning Talk: AstroML
PyData NYC 2012: A 5-minute lightning talk on the AstroML package. [Video]
July, 2012
An Introduction to Scikit-Learn
SciPy 2012: A three-hour tutorial introducing Machine Learning and Scikit-learn. Notebooks and other supporting material available at http://astroML.org/sklearn_tutorial. [Video]
July, 2012
AstroML: Machine Learning for Astronomy and Astrophysics
SciPy 2012: A 20 minute talk in the Astronomy & Astrophysics mini-symposium. Source code for the plots shown is available at http://astroML.org/. [Video]
March, 2012
Scikit-Learn Tutorial
PyData Workshop 2012: A 1 hour tutorial on Scikit-learn. Notebooks and other supporting material available at http://astroML.org/sklearn_tutorial. [Video]
November, 2011
Gravity: Lensing the Universe
Queen Anne Science Cafe: A 30 minute public talk at a Seattle pub on dark matter and gravitational lensing. [Video]