Scientific Computing with Python
Austin, Texas • July 6-12, 2015
 

SciPy 2015 Tutorials Schedule

The SciPy Conference kicks off with two days of tutorials (July 8-10) 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 16 different SciPy tutorials OR select the 2 day Software Carpentry course on scientific Python that assumes some programming experience but no Python knowledge. 


Don't wait to register as many sessions are already sold out! Tutorial registration and selection is first come, first served and sessions have limited enrollment to ensure a great attendee experience.  


Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, and task automation. We'll also briefly introduce the basic libraries of scientific Python. See the full syllabus here

Software Carpentry will be held in Room 102 during all 4 tutorial sessions.

OPTION 2: SciPy Tutorials (Select 4 Sessions)

Mon July 6, 2015
7:30 AM- 8:00 AMBreakfast
Served in the Tejas Room on Level 2
8:00 AM - 12:00 PMBasicsStatistics and Machine LearningPerfomance and OptimizationSpecial Topics

Introduction to NumPy (Beginner)

Room 105
Eric Jones, CEO, Enthought

Machine Learning with Scikit-Learn (Intermediate)
(Monday Session)

Room 203
Andreas Mueller, Assistant Research Scientist, New York University Center for Data Science
Kyle Kastner, Graduate Student, Université de Montréal

Cython: Blend the Best of Python and C/++ (Intermediate)

Room 106
Kurt Smith, Scientific Software Developer, Enthought

Image Analysis in Python with SciPy and Scikit-Image (Intermediate)

Room 101
Joshua Warner, Core Developer, Scikit Image/Mayo Clinic
Stéfan van der Walt, Assistant Researcher, University of California, Berkeley
Steven Silvester, Core Developer, Scikit Image
12:00 PM - 1:00 PMLunch Break
See "Venue and Local Info" tab for suggestions
1:00 PM - 5:00 PMBasicsStatistics and Machine LearningPerfomance and OptimizationSpecial Topics

Analyzing and Manipulating Data with Pandas (Beginner)

Room 105
Jonathan Rocher, Scientific Software Developer, Enthought

Machine Learning with Scikit-Learn (Advanced)
(Monday Session)

Room 203
Andreas Mueller, Assistant Research Scientist, New York University Center for Data Science
Kyle Kastner, Graduate Student, Université de Montréal

Building Python Data Applications with Blaze and Bokeh (Intermediate)

Room 106
Christine Doig-Cardet, Data Scientist, Continuum Analytics

Multibody Dynamics and Control with Python (Intermediate)

Room 101
Jason Moore, Lead Developer, PyDy
James Crist, Graduate Student, University of Minnesota

Tues July 7, 2015
7:30 AM - 8:00 AMBreakfast
Served in the Tejas Room on Level 2
8:00 AM - 12:00 PMBasicsStatistics and Machine LearningPerfomance and OptimizationSpecial Topics

Anatomy of Matplotlib (Beginner)

Room 101
Benjamin Root, Scientific Programmer, Atmospheric and Environmental Research, Inc/Matplotlib
Joe Kington, Chevron

Computational Statistics I (Intermediate)

Room 203
Allen Downey, Professor of Computer Science, Olin College

Efficient Python for High-Performance Parallel Computing (Intermediate)

Room 106
Mike McKerns, Co-Founder, UQ Foundation

Geospatial Data with Open Source Tools in Python (Intermediate)

Room 105
Kelsey Jordahl, Scientific Software Developer, Enthought
8:00 AM - 12:00 PMStatistics and Machine Learning

Machine Learning with Scikit-Learn (Intermediate)
(Tuesday Session)

Room 201
Andreas Mueller, Assistant Research Scientist, New York University Center for Data Science
Kyle Kastner, Graduate Student, Université de Montréal
12:00 PM - 1:00 PMLunch Break
See "Venue and Local Info" tab for suggestions
1:00 PM - 5:00 PMBasicsStatistics and Machine LearningPerfomance and OptimizationSpecial Topics

Decorating Drones: Using Drones to Delve Deeper into Intermediate Python (Intermediate)

Room 105
Matt Harrison, MetaSnake

Computational Statistics II (Intermediate)

Room 203
Chris Fonnesbeck, Assistant Professor, Department of Biostatistics, Vanderbilt University School of Medicine

Modern Optimization Methods in Python (Advanced)

Room 106
Mike McKerns, Co-Founder, UQ Foundation

Jupyter Advanced Topics Tutorial (Advanced)

Room 101
Jonathan Frederic, Core Developer, IPython/Jupyter and California Polytechnical Institute
Matthias Bussonnier, Jupyter/Ipython, University of California, Berkeley
Thomas Kluyver, Core Developer, IPython/Jupyter and University of California, Berkeley
1:00 PM - 5:00 PMStatistics and Machine Learning

Machine Learning with Scikit-Learn (Advanced)
(Tuesday Session)

Room 201
Andreas Mueller, Assistant Research Scientist, New York University Center for Data Science
Kyle Kastner, Graduate Student, Université de Montréal