Scientific Computing with Python
Austin, Texas • July 10-16, 2017
 

SciPy 2017 Tutorials Schedule

The SciPy Conference kicks off with two days of tutorials (July 10-11) that take place before the general conference. These sessions provide extremely affordable access to expert training, and consistently receive fantastic feedback from participants.

This year you can choose from 19 different SciPy tutorials. New to Python? Check out our Introductory Track: Software Carpentry Scientific Python Course (Parts 1 and 2) on July 10  followed by Numpy and Anatomy of Matplotlib on July 11.

07/10/2017
8:00 am - 12:00 pmSoftware Carpentry Scientific Python Course Part 1 (Beginner) [More Info]
Room 105
Maxim Belkin, Software Carpentry
8:00 am - 12:00 pmCython for Data, Scientists, and Data Scientists (Intermediate/Advanced) [More Info]
Room 203
Kurt Smith, HomeAway
8:00 am - 12:00 pmNumba: Tell Those C++ Bullies to Get Lost (Intermediate) [More Info]
Room 101
Gil Forsyth, George Washington University
Lorena Barba, George Washington University
8:00 am - 12:00 pmAutomatic Code Generation with SymPy (Advanced) [More Info]
Room 103
Jason Moore, PyDy and SymPy
Aaron Meurer, University of South Carolina, SymPy
Björn Dahlgren, KTH Royal Institute of Technology, SymPy
Kenneth Lyons, University of California, Davis
8:00 am - 12:00 pmModern Optimization Methods in Python (Intermediate/Advanced) [More Info]
Room 106
Michael McKerns, UQ Foundation
Noon-1:30 pmLunch Break
See "Venue and Local Info" tab for suggestions
1:30 pm - 5:30 pmSoftware Carpentry Scientific Python Course Part 2 (Beginner) [More Info]
Room 101
Maxim Belkin, Software Carpentry
1:30 pm - 5:30 pmComputational Statistics (Beginner) [More Info]
Room 105
Allen Downey, Olin College
1:30 pm - 5:30 pmThe Jupyter Interactive Widget Ecosystem (Intermediate/Advanced) [More Info]
Room 203
Matt Craig, Minnesota State University Moorhead
Sylvain Corlay
Jason Grout, Bloomberg LP
1:30 pm - 5:30 pmHDF5 take 2: h5py & PyTables (Intermediate/Advanced) [More Info]
Room 103
Tom Kooij
1:30 pm - 5:30 pmInteractive Data Visualization with HoloViews & Bokeh (Advanced) [More Info]
Room 106
Philipp Rudiger, Continuum Analytics
Jean-Luc Stevens, Continuum Analytics
Bryan Van de Ven, Continuum Analytics

07/11/2017
8:00 am - 12:00 pmIntroduction to Numerical Computing with NumPy (Beginner) [More Info]
Room 103
Dillon Niederhut, Enthought
8:00 am - 12:00 pmPandas for Data Analysis (Beginner) [More Info]
Room 106
Daniel Chen, Virginia Tech
8:00 am - 12:00 pmMachine Learning with scikit-learn Part One (Intermediate) [More Info]
Room 203
Andreas Mueller, Columbia University
Alexandre Gramfort, INRIA, Université Paris-Saclay
8:00 am - 12:00 pmParallelizing Scientific Python with Dask (Intermediate) [More Info]
Room 101
James Crist, Continuum Analytics
Martin Durant, Continuum Analytics
Skipper Seabold, Civis Analytics
8:00 am - 12:00 pmParallel Data Analysis in Python (Intermediate) [More Info]
Room 105
Matthew Rocklin, Continuum Analytics
Ben Zaitlen, Continuum Analytics
Aron Ahmadia, Capital One
Noon-1:30 pmLunch Break
See "Venue and Local Info" tab for suggestions
1:30 pm - 5:30 pmAnatomy of Matplotlib (Beginner) [More Info]
Room 105
Ben Root, Atmospheric and Environmental Research, Inc/Matplotlib
1:30 pm - 5:30 pmscikit-image: Image Processing for Python (Intermediate) [More Info]
Room 101
Stéfan van der Walt, University of California, Berkeley
Emmanuelle Gouillart
Claire McQuin, Broad Institute
1:30 pm - 5:30 pmNetwork Science and Statistics: Fundamentals and Applications (Intermediate) [More Info]
Room 106
Eric Ma, MIT
1:30 pm - 5:30 pmMachine Learning with scikit-learn Part Two (Intermediate) [More Info]
Room 203
Andreas Mueller, Columbia University
Alexandre Gramfort, INRIA, Université Paris-Saclay
1:30 pm - 5:30 pmSignal Processing and Communications Hands-On Using scikit-dsp-comm (Intermediate) [More Info]
Room 103
Mark Wickert, University of Colorado
Chiranth Siddappa
6:00 pm - 9:00 pmEnthought Welcome Reception [More Info]
El Mercado, 1702 Lavaca Street