Scientific Computing with Python
Austin, Texas • July 11-17, 2016
 

SciPy 2016 Tutorials Schedule

The SciPy Conference kicks off with two days of tutorials (July 11-12) 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 18 different SciPy tutorials including a 1 day Software Carpentry Scientific Python course that assumes some programming experience but no Python knowledge, or a 2-day Software Carpentry Instructor Training.

OPTION 1: Software Carpentry 2-Day Instructor Training Course (July 11-12)

The tutorial is based on the short course run by Software Carpentry to train its volunteer instructors. Those who complete the full two days and some short follow up exercises will be qualified as Software Carpentry and/or Data Carpentry instructors.

Software Carpentry Instructor Training will be held for all 4 tutorial sessions. You will not be able to register for other tutorials.

Monday, July 11, 2016 - Tuesday, July 12, 2016
8:00 am - 5:30 pmSoftware Carpentry Instructor Training Room 108 (July 11 and 12)
Ariel Rokem, Software Carpentry
Greg Wilson, Software Carpentry

OPTION 2: SciPy Tutorials (Select 4 Sessions)

Monday, July 11, 2016
7:30 AM - 8:00 AMBreakfast
Served in the Tejas Room on Level 2
8:00 AM - 12:00 PM
Network Science and Statistics: Fundamentals and Applications (Intermediate) (Monday Session)
Room 203
Eric Ma, MIT
Deep Learning for Image Recognition (Beginner)
Room 105
Bargava Subramanian
NumPy (Beginner)
Room 106
Alexandre Chabot-LeClerc, Enthought
Symbolic Compution with Python using SymPy (Beginner)
Room 103
Ondřej Čertík, Los Alamos National Laboratory
Amit Kumar, Delhi Technological University, India
Jason Moore, Lead Developer, PyDy
Aaron Meurer
Sartaj Singh, IIT BHU
Harsh Gupta, IIT Kharagpur
Software Carpentry Scientific Python Course Part 1 (Beginner)
Room 101
Matthias Bussonnier, Jupyter/Ipython, University of California, Berkeley
Matt Davis
Jessica Hamrick, University of California, Berkeley
Ted Hart
Kathryn Huff, Fellow, University of California, Berkeley
Greg Wilson, Software Carpentry
12:00 PM - 1:30 PMLunch Break
See "Venue and Local Info" tab for suggestions
1:30 PM - 5:30 PM
Bokeh for Data Applications and Visualization (Intermediate)
Room 203
Bryan Van de Ven, Continuum Analytics
James A. Bednar, Solutions Architect, Continuum Analytics and University of Edinburgh
Simulating Robot, Vehicle, Spacecraft, and Animal Motion with Python (Advanced)
Room 103
Jason Moore, Lead Developer, PyDy
Robert McMurry, University of California, Davis
Brandon Milam, University of Florida, Gainsville
Data Science is Software: Developer #lifehacks for the Python Data Scientist (Intermediate)
Room 106
Peter Bull, DrivenData
Isaac Slavitt, DrivenData
Numba: Tell those C++ bullies to get lost (Intermediate)
Room 105
Lorena Barba, George Washington University
Gil Forsyth
Software Carpentry Scientific Python Course Part 2 (Beginner)
Room 101

Tuesday, July 12, 2016
7:30 AM - 8:00 AMBreakfast
Served in the Tejas Room on Level 2
8:00 AM - 12:00 PM
Time Series Analysis with Python (Intermediate)
Room 203
Aileen Nielsen
Machine Learning with scikit-learn Part 1(Intermediate)
Room 105
Andreas Mueller
Sebastian Raschka
Matplotlib Tutorial (Beginner)
Room 101
Nicolas Rougier, INRIA Bordeaux Sud-Ouest, Talence, France, Neurodegenerative Diseases Institute, University of Borde
Parallel Python: Analyzing Large Datasets (Intermediate)
Room 106
Matthew Rocklin, Continuum Analytics
Min RK, University of California, Berkeley
Ben Zaitlen, Data Scientist, Continuum Analytics
Network Science and Statistics: Fundamentals and Applications (Intermediate) (Tuesday Session)
Room 103
Eric Ma, MIT
12:00 PM - 1:30 PMLunch Break
See "Venue and Local Info" tab for suggestions
1:30 PM - 5:30 PM
Scikit-image: Image analysis in Python (Intermediate)
Room 106
Stefan van der Walt, University of California, Berkeley
Andreas Mueller, New York University Center for Data Science
Juan Nunez-Iglesias, University of Melbourne
Machine Learning with scikit-learn Part 2(Intermediate)
Room 105
Andreas Mueller
Sebastian Raschka
Analyzing and Manipulating Data with Pandas (Beginner)
Room 203
Jonathan Rocher, KBI BioPharma
Scalable Hierarchical Parallel Computing (Intermediate)
Room 101
Michael McKerns, UQ Foundation
Geographic Data Science with PySAL and the pydata stack (Beginner)
Room 103
Serge Rey, Arizona State University
Dani Arribas-Bel, University of Liverpool
6:00 PMEnthought Welcome to SciPy Reception
Enthought Offices, 515 Congress Avenue, 21st Floor