Program Schedule:

The Program Schedule is in its final stages of confirmation. There may be changes made to the schedule between now and the conference.

Tutorials June 24th & 25th | Talks June 26th & June 27th
Mini Symposia June 26th & June 27th | Sprints June 28th & 29th

Tutorials Schedule

The conference always kicks off with two days of tutorials. These sessions provide extremely affordable access to expert training, and consistently receive fantastic feedback from participants. This year we are expanding the tutorial session to include three parallel tracks: introductory, intermediate and advanced.

The Tutorials Schedule (June 24th & 25th) is in its final stages of confirmation. There may be changes made to the schedule between now and the conference.

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Monday - Jun 24th
Time Introductory Intermediate Advanced
08:00 AM - 12:00 PM Rm 105
NumPy and IPython
- Valentin Haenel
Rm 104
Guide to Symbolic Computing with SymPy
- Ondrej Certik, Mateusz Paprocki, Aaron Meurer
Rm 106
Data Processing with Python
- Ben Zaitlen, Clayton Davis
01:00 PM - 05:00 PM Rm 104
Anatomy of Matplotlib
- Benjamin Root
Rm 105
IPython in depth
- Fernando Perez, Brian Granger
Rm 106
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran
- Kurt Smith
Tuesday - Jun 25th
Time Introductory Intermediate Advanced
08:00 AM - 12:00 PM Rm 106
Version Control and Unit Testing for Scientific Software
- Matt Davis, Katy Huff
Rm 105
An Introduction to scikit-learn (I)
- Gaël Varoquaux, Jake Vanderplas, Olivier Grisel
Rm 104
Diving into NumPy code
- David Cournapeau, Stefan Van der Walt
01:00 PM - 05:00 PM Rm 106
Statistical Data Analysis in Python
- Christopher Fonnesbeck
Rm 104
Using geospatial data with python
- Kelsey Jordahl
Rm 105
An Introduction to scikit-learn (II)
- Gaël Varoquaux, Jake Vanderplas, Olivier Grisel

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Talks Schedule, Day 1 - Wed., June 26th

Time General
Rm 204
Reproducible Science
Rm 203
Machine Learning
Rm 102
08:45 AM -
09:00 AM
Plenary - Rm 204
Welcome
09:00 AM -
09:45 AM
Keynotes - Rm 204
IPython: from the shell to a book with a single tool; the method behind the madness
Fernando Perez, UC Berkeley Henry H. Wheeler Jr. Brain Imaging Center
09:50 AM -
10:10 AM
General - Rm 204
Import without a filesystem: scientific Python built-in with static linking and frozen modules
Pat Marion, Kitware; Aron Ahmadia; Bradley M. Froehle, University of California, Berkeley
Reproducible Science - Rm 203
IPython-powered Slideshow Reveal-ed
Avila, Damian, OQUANTA;
Machine Learning - Rm 102
A Gentle Introduction To Machine Learning
Kastner, Kyle, Southwest Research Institute
10:15 AM -
10:35 AM
General - Rm 204
PyOP2: a Framework for Performance-Portable Unstructured Mesh-based Simulations and its Application to Finite-Element Computations
Rathgeber, Florian, Imperial College London, UK; Markall, Graham R., Imperial College London, UK; Mi
Reproducible Science - Rm 203
Writing Reproducible Papers with Dexy
Nelson, Ana
Machine Learning - Rm 102
Hyperopt: A Python library for optimizing the hyperparameters of machine learning algorithms
Bergstra, James, University of Waterloo; Yamins, Dan, Massachusetts Institute of Technology; Cox, David D., Harvard University
10:40 AM -
11:00 AM
---
Mid-morning Break
11:05 AM -
11:25 AM
General - Rm 204
Julia and Python: a dynamic duo for scientific computing
Bezanson, Jeff, MIT; Karpinski, Stefan, MIT
Reproducible Science - Rm 203
GraphTerm: A notebook-like graphical terminal interface for collaboration and inline data visualization
Ramalingam Saravanan, Texas A&M University
Machine Learning - Rm 102
Using Python for Structured Prediction
Zinkov, Rob
11:30 AM -
11:50 AM
General - Rm 204
Pythran: Enabling Static Optimization of Scientific Python Programs
Serge Guelton, ENS; Pierrick Brunet, Télécom Bretagne; Alan Raynaud, Télécom Bretagne; Adrien Merlini, Télécom Bretagne; Mehdi Amini, SILKAN
Reproducible Science - Rm 203
The advantages of a scientific IDE
Cordoba, Carlos, The Spyder Project
Machine Learning - Rm 102
Processing biggish data on commodity hardware: simple Python patterns
Author: Gael Varoquaux Institution: INRIA, Parietal team
11:55 AM -
12:15 PM
General - Rm 204
XDress - Type, But Verify
Scopatz, Anthony, The University of Chicago & NumFOCUS, Inc.
Reproducible Science - Rm 203
An efficient workflow for reproducible science
Bekolay, Trevor, University of Waterloo
Machine Learning - Rm 102
Python Tools for Coding and Feature Learning
Johnson, Leif, University of Texas at Austin
12:15 PM -
01:30 PM
---
Lunch / BoFs
BoF - Rm 204
Fut. of Array Oriented Program.
BoF - Rm 203
Reproducibility
BoF - Rm 102
Teaching scientific computing with Python
01:30 PM -
02:15 PM
Keynotes - Rm 204
Trends in Machine Learning and the SciPy community
Olivier Grisel
02:20 PM -
02:40 PM
General - Rm 204
Why you should write buggy software with as few features as possible
Granger, Brian, Cal Poly San Luis Obispo
Reproducible Science - Rm 203
Complex Experiment Configuration, Control, Automation, and Analysis using Robot Operating System (ROS)
Stowers, John, TU Wien; Straw, Andrew, Research Institute of Molecular Pathology
Machine Learning - Rm 102
mystic: a framework for predictive science
Michael McKerns @ California Institute of Technology, Houman Owhadi @ California Institute of Techno
02:45 PM -
03:05 PM
General - Rm 204
Modeling the Earth with Fatiando a Terra
Uieda, Leonardo, Observatorio Nacional; Oliveira Jr, Vanderlei C., Observatorio Nacional; Barbosa, V
Reproducible Science - Rm 203
vIPer, a new tool to work with IPython notebooks
Avila, Damian, OQUANTA;
Machine Learning - Rm 102
Skdata: Data seets and algorithm evaluation protocols in Python
Bergstra, James, University of Waterloo: Pinto, Nicolas, Massachusetts Institute of Technology; Cox, David D., Harvard University
03:10 PM -
03:30 PM
---
Mid-afternoon Break
03:30 PM -
03:50 PM
General - Rm 204
Scientific Computing and the Materials Genome Initiative
Reid, Andrew, National Institute of Standards and Technology
Reproducible Science - Rm 203
OS deduplication with SIDUS (single-instance distributing universal system)
Quemener, Emmanuel, Centre Blaise Pascal (Lyon, France); Corvellec, Marianne, McGill University (Mon
Machine Learning - Rm 102
Infer.py: Probabilistic Programming and Bayesian Inference from Python
Zinkov, Rob
03:55 PM -
04:15 PM
General - Rm 204
Multidimensional Data Exploration with Glue
Beaumont, Christopher, U. Hawaii; Robitaille, Thomas, MPIA; Borkin, Michelle, Harvard; Goodman, Alys
Reproducible Science - Rm 203
lpEdit: An editor to facilitate reproducible analysis via literate programming
Richards, Adam, Duke University, CNRS France; Kosinski Andrzej, Duke University; Bonneaud, Camille,
Machine Learning - Rm 102
Roadmap to a Sentience Stack
Eric Neuman
04:20 PM -
04:55 PM
Plenary - Rm 204
Lightning Talks


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Mini-Symposia, Day 1 - Wed., June 26th

Note: start times are not always con-current across tracks.

Bioinformatics
Rm 204
Astronomy and Astrophysics
Rm 203
GIS - Geospatial Data Analysis
Rm 102
05:00 PM - 05:13 PM
Bioinformatics - Next Gen Sequencing
Exploring disease genetics from thousands of individual genomes with Gemini
Quinlan, Aaron, University of Virginia; Paila, Uma, University of Virginia; Chapman, Brad, Harvard School of Public Health; Kirchner, Rory,
05:13 PM - 05:26 PM
Bioinformatics - Next Gen Sequencing
metaseq: a Python framework for integrating high-throughput sequencing analyses
Dale, Ryan, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of
05:26 PM - 05:39 PM
Bioinformatics - Next Gen Sequencing
Stuff to do with your genomic intervals
Pedersen, Brent; University of Colorado
05:39 PM - 05:45 PM
Bioinformatics - Next Gen Sequencing
Best-practice variant calling pipeline...
05:45 PM - 06:00 PM
Bioinformatics - Next Gen Sequencing
Discussion
06:00 PM - 06:15 PM
Bioinformatics - Machine Learning
All-by-all learning of protein complexes from mass spectrometry data
Blake Borgeson, Center for Systems and Synthetic Biology, University of Texas at Austin; Cuihong Wa
06:15 PM - 06:30 PM
Bioinformatics - Machine Learning
Detection and characterization of interactions of genetic risk factors in disease
Francis-Lyon, Patricia, University of San Francisco; Belvadi, Shashank, University of San Francisco; Wang, Lin, University of San Francisco
06:30 PM - 06:45 PM
Bioinformatics - Machine Learning
MIST: Micro-Simulation Tool to Support Disease Modeling
Jacob Barhak
06:45 PM - 07:00 PM
Bioinformatics - Machine Learning
Discussion
05:00 PM - 05:20 PM
Astronomy and Astrophysics
Python and the SKA
Simon Ratcliffe SKA South Africa, Ludwig Schwardt SKA South Africa
05:20 PM - 05:40 PM
Astronomy and Astrophysics
Combining C++ and Python in the LSST Software Stack
Bosch, Jim, Princeton University
05:40 PM - 06:00 PM
Astronomy and Astrophysics
Ginga: an open-source astronomical image viewer and toolkit
Jeschke, Eric, Subaru Telescope, National Astronomical Observatory of Japan
06:00 PM - 06:20 PM
Astronomy and Astrophysics
Astropy, growing a community-based software system for astronomy
Droettboom, Michael, STScI; Robitaille, Thomas, Max Planck Institute; Tollerud, Erik, Yale Universit
06:20 PM - 06:40 PM
Astronomy and Astrophysics
SunPy - Python for Solar Physicists
Mumford, Stuart, University of Sheffield / SunPy
06:40 PM - 07:00 PM
Astronomy and Astrophysics
Accessing the Virtual Observatory from Python
Plante, Raymond, NCSA/UofIL; Fitzpatrick, Mike, NOAO; Graham, Matthew, Caltech; Tody, Doug, NRAO
05:00 PM - 05:15 PM
GIS - Geospatial Data Analysis
LarvaMap - A python powered larval transport modeling system
Wilcox, Kyle, Applied Science Associates (ASA); Crosby, Alex, Applied Science Associates (ASA)
05:15 PM - 05:30 PM
GIS - Geospatial Data Analysis
SCI-WMS: A Python Based Web Map Service For Met-Ocean Data Accessible Over OpenDAP Or As NetCDF
Crosby, Alexander
05:30 PM - 05:45 PM
GIS - Geospatial Data Analysis
Optimizing Geographic Processing and Analysis for Big Data
Carissa, GeoDecisions; Gleason, Jason, GeoDecisions
05:45 PM - 06:00 PM
GIS - Geospatial Data Analysis
The Production of a Multi-Resolution Global Index for Geographic Information Systems
MacManus, Kytt, Columbia University CIESIN
06:00 PM - 06:15 PM
GIS - Geospatial Data Analysis
Streamed Clustering of Lightning Mapping Data in Python Using sklearn
Bruning, Eric C., Texas Tech University
06:15 PM - 07:00 PM
GIS - Geospatial Data Analysis
GIS Panel
Panel participants: Sergio Ray (Arizona State U), Shaun Walbridge (ESRI), Andrew Wilson (TWDB)


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Reception, Day 1 - Wed., June 26th

Time      
07:00 PM -
08:00 PM
Reception- Tejas Dining Room
Reception
appetizers, cash bar and a book signing during the first half hour


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Talks Schedule, Day 2 - Thurs., June 27th

Time General
Rm 204
General
Rm 203
Reproducible Science
Rm 106
08:45 AM -
09:00 AM
Plenary - Rm 204
Welcome
09:00 AM -
09:45 AM
Keynotes - Rm 204
The New Scientific Publishers
William Schroeder, Kitware
09:50 AM -
10:10 AM
General - Rm 204
Data Agnosticism: Feature Engineering Without Domain Expertise
Kridler, Nicholas, Accretive Health
General - Rm 203
Opening Up Astronomy with Python and AstroML
Vanderplas, Jake, University of Washington; Ivezic, Zeljko, University of Washington; Connolly, Andrew, University of Washington
Reproducible Science - Rm 106
Using Sumatra to Manage Numerical Simulations
Davison, Andrew, CNRS (principal developer); Wheeler, Daniel, NIST (speaker)
10:15 AM -
10:35 AM
General - Rm 204
Matrix Expressions and BLAS/LAPACK
Rocklin, Matthew, University of Chicago Computer Science
General - Rm 203
Parallel Volume Rendering in yt: User Driven & User Developed
Skillman, Samuel, University of Colorado at Boulder; Turk, Matthew, Columbia University
Reproducible Science - Rm 106
matplotlib: past, present and future
Michael Droettboom
10:35 AM -
11:35 AM
Plenary - Rm 204
Poster Session
11:35 AM -
11:55 AM
General - Rm 204
Scikit-Fuzzy: A New SciPy Toolkit for Fuzzy Logic
Warner, Joshua, Mayo Clinic Department of Biomedical Engineering; Ottesen, Hal H., Adjunct Professor
General - Rm 203
Bringing astronomical tools down to earth
Droettboom, Michael, STScI; Dencheva, Nadia, STScI; Aldcroft, Tom, Harvard-Smithsonian Center for As
Reproducible Science - Rm 106
Exploring Collaborative HPC Visualization Workflows using VisIt and Python
Krishnan, Harinarayan, Lawrence Berkeley National Labs; Harrison, Cyrus, Lawrence Livermore National
12:00 PM -
12:20 PM
General - Rm 204
Breaking the diffraction limit with python and scipy
Baddeley, David, Nanobiology Institute, Yale University
General - Rm 203
open('/dev/real_world') - Raspberry Pi Sensor and Actuator Control
Minardi, Jack, Enthought Inc.
Reproducible Science - Rm 106
Using IPython Notebook with IPython Cluster for Reproducibility and Portability of Atomistic Simulations
Trautt, Zachary, Materials Measurement Science Division, National Institute of Standards and Technol
12:20 PM -
01:35 PM
---
Lunch / BoFs
BoF - Rm 204
SciPy 2014
BoF - Rm 203
[Matplotlib enhancement - moved to 7PM]
BoF - Rm 106
Python in Astronomy
01:35 PM -
02:05 PM
Plenary - Rm 204
SciPy John Hunter Excellence in Plotting Contest
02:10 PM -
02:30 PM
General - Rm 204
Dynamics with SymPy Mechanics
Moore, Jason, University of California at Davis
General - Rm 203
A comprehensive look at representing physical quantities in Python
Bekolay, Trevor, University of Waterloo
Reproducible Science - Rm 106
The Open Science Framework: Improving, by Opening, Science
Spies, Jeffrey, Center for Open Science; Nosek, Brian, Center for Open Science
02:35 PM -
02:55 PM
General - Rm 204
Analyzing IBM Watson experiments with IPython Notebook
Bittner, Torsten, IBM
General - Rm 203
The DyND Library
Wiebe, Mark, Continuum Analytics
Reproducible Science - Rm 106
lmonade: a platform for development and distribution of scientific software
Erocal, Burcin, TU Kaiserslautern
03:00 PM -
03:20 PM
---
Mid-afternoon Break
03:25 PM -
03:45 PM
General - Rm 204
A Portrait of One Scientist as a Graduate Student
Ivanov, Paul, UC Berkeley
General - Rm 203
High Performance Reproducible Computing
Zhang, Zhang, Intel Corporation; Rosenquist, Todd, Intel Corporation; Moffat, Kent, Intel Corporation
Reproducible Science - Rm 106
Reproducible Documents with PythonTeX
Poore, Geoffrey, Union University
03:50 PM -
04:10 PM
General - Rm 204
DMTCP: Bringing Checkpoint-Restart to Python
Arya, Kapil, Northeastern University; Cooperman, Gene, Northeastern University
General - Rm 203
SymPy Gamma and SymPy Live: Python and Mathematics Online
Li, David, SymPy
Reproducible Science - Rm 106
Emacs + org-mode + python in reproducible research
Kitchin, John Carnegie Mellon University
04:15 PM -
04:55 PM
Plenary - Rm 204
Lightning Talks


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Mini-Symposia, Day 2 - Thurs., June 27th

Note: start times are not always con-current across tracks.

Medical Imaging
Rm 204
Bioinformatics
Rm 203
Meteorology, Climatology, Atmospheric and Oceanic Science
Rm 106
05:00 PM - 05:20 PM
Medical Imaging
NeuroTrends: Large-scale automated analysis of the neuroimaging literature
Carp, Joshua, University of Michigan
05:20 PM - 05:40 PM
Medical Imaging
Estimating and Visualizing the Inertia of the Human Body with Python
Moore, Jason, University of California at Davis; Dembia, Christopher, Stanford
05:40 PM - 06:00 PM
Medical Imaging
An Open Source System for De-identification and Use of Medical Images for Research
Miller, Jeffrey, Center for Biomedical Informatics, The Children's Hospital of Philadelphia
06:00 PM - 06:20 PM
Medical Imaging
Automating Quantitative Confocal Microscopy Analysis
Fenner, Mark; Fenner, Barbara, King's College, Wilkes-Barre, PA
06:20 PM - 06:40 PM
Medical Imaging
Experiences in Python for Medical Image Analysis
Warner, Joshua, Mayo Clinic Department of Biomedical Engineering
06:40 PM - 07:00 PM
Medical Imaging
A Rapidly-Adaptable Analytical Imaging & Measurement Standardization Platform for Cancer Diagnostics Research
Garsha, Karl, Ventana Medical Systems Inc.; Ventura, Franklin, Ventana Medical Systems Inc.;
05:00 PM - 05:20 PM
Bioinformatics - Frameworks
EMAN2 and EMEN2: Flexible Python-based platforms for electron microscopy
Rees, Ian, Baylor College of Medicine; Ludtke, Steven, Baylor College of Medicine
05:20 PM - 05:40 PM
Bioinformatics - Frameworks
Massive Online Collaborative Research and Modeling using Synapse and Python
Omberg, Larsson, Sage Bionetworks
05:40 PM - 06:00 PM
Bioinformatics - Frameworks
Discussion
05:00 PM - 05:20 PM
Meteorology, Climatology, Atmospheric and Oceanic Science
Iris & Cartopy: Open source Python packages for Atmospheric and Oceanographic science
Elson, Philip, UK Met Office;
05:20 PM - 05:40 PM
Meteorology, Climatology, Atmospheric and Oceanic Science
Advances in delivery and access tools for coastal ocean model data
Signell, Richard, US Geological Survey
05:40 PM - 06:00 PM
Meteorology, Climatology, Atmospheric and Oceanic Science
Using Python to drive the General NOAA Operational Modeling Environment
Barker, Christopher H. NOAA Emergency Response Division.
06:00 PM - 06:20 PM
Meteorology, Climatology, Atmospheric and Oceanic Science
Oil spill modeling and uncertainty forecasts with Python
Hou,Xianlong, University of Texas at Austin; Hodges,Ben, University of Texas at Austin
06:20 PM - 06:40 PM
Meteorology, Climatology, Atmospheric and Oceanic Science
Climate Observations from ACIS in pandas
Noon, William: Northeast Regional Climate Center


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Sprints Schedule

Friday - Jun 28th
Time Room 1 Room 2 Room 3 Room 4
09:00 AM -
12:00 PM
Sprint
Intro to Sprints
Corran Webster & SciPy2013 organizers
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
10:00 AM -
11:00 AM
---1 224
12:00 PM -
02:00 PM
---
Lunch
12:30 PM -
01:30 PM
---1 225

02:00 PM -
06:00 PM
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
06:00 PM -
10:00 PM
--- Scholtz Beer Garten
Sprint Social Event
Saturday - Jun 29th
Time Room 1 Room 2 Room 3 Room 4
09:00 AM -
12:30 PM
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
12:30 PM -
02:00 PM
---
Lunch
02:00 PM -
06:00 PM
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced
Sprint
To be announced