General Conference | Python in Data Science |  Python and Core Technologies |  Lightning

General Conference

  • Hurricane Prediction with Python | Minwoo Lee
        slides | recording
  • Vision Spreadsheet: An Environment for Computer Vision | Scott Determan
        slides | recording
  • Experiment Control Feedback with Web Services and Python | Piotr A. Zolnierczuk, Yu (Cathy) Jiao, Richard E. Riedel
        slides | recording
  • The Open Estuary: Using open source tools to model Texas estuaries | Solomon Negusse, Dharhas Pothina
        slides | recording
  • Automation of Inertial Fusion Target Design with Python | Matt Terry, Joseph Koning
        presentation | recording
  • IMUSim - Simulating inertial and magnetic sensor systems in Python | Martin Ling
        slides | recording
  • Sherpa Methods for Calculating Confidence Limits on Model Parameters | Brian Refsdal
        presentation | recording
  • Improving efficiency and repeatability of lake volume estimates using Python | Tyler McEwen, Dharhas Pothina
        slides | recording
  • Panel Discussion: Python in Finance | Wes McKinney, Henry Ward, Travis Oliphant
        recording
  • A Software Framework in Python for Generating Optimal Isogeometric Kernels on the PowerPC 450 | Aron Ahmadia, Jed Brown, Nathan Collier, Tareq Malas, John Gunnels
        slides | recording
  • Bringing Parallel Performance to Python with Domain-Specific Selective Embedded Just-in-Time Specialization | Shoaib Kamil
        recording
  • Using the Global Arrays Toolkit to Reimplement NumPy for Distributed Computation | Jeff Daily
        slides | recording
  • A Framework for Massively-Parallel Optimization and Rigorous Sensitivity Analysis | Michael McKerns
        slides | recording
  • Time series analysis in Python with statsmodels | Wes McKinney, Skipper Seabold, Josef Perktold
        slides | recording
  • Python for brain mining: (neuro)science with state of the art machine learning and data visualization | Gael Varoquaux
        slides | recording
  • Constructing scientific programs using Sympy | Mark Dewing
        slides | recording
  • Using Python to Construct a Scalable Parallel Nonlinear Wave Solver | Kyle Mandli, Manuel Quezada, Amal Alghamdi, Aron Ahmadia, David Ketcheson, William Scullin, Matthew Knepley, Lisandro Dalcin
        slides | recording
  • FEMhub Online Lab: Scientific computing with Python in web browsers | Mateusz Paprocki
        website | recording
  • PyStream: Compiling Python onto a GPU | Nick Bray
        recording
  • Metagraph: A Declarative Graphing System for Python | Peter Wang
        slides | recording
  • TRAPPIST: A toolkit for comparative analysis and visualization of genomic regions | Geraldine van der Auwera
        slides | recording
  • atobrute: why plaintext isn't so vanilla | Anthony Scopatz
        slides | recording
  • RESTful APIs for Scientific Computing in Django | Shreyas Cholia, Annette Greiner
        slides | recording
  • The Technical and Social Challenges of Getting Python into a Multi-billion Dollar Enterprise | Josh Hemann
        slides | recording
  • PiCloud - Cloud Computing for Science. Simplified. | Ken Elkabany, Aaron Staley, Ken Park
        recording
  • Python Facilitating Code Refactoring  | Ben Christenson, Yahya Nazer
        slides | recording

Python in Data Science

  • Crab: A Recommendation Engine Framework for Python | Marcel Caraciolo, Bruno Melo, Ricardo Caspirro
        slides | recording
  • Using Python, Partnerships, Standards and Web Services to provide Water Data for Texans | Dharhas Pothina, Andrew Wilson
        slides | recording
  • gpustats: GPU library for statistical computing | Wes McKinney, Andrew Cron
        slides | recording
  • An N-th order approximate interpolation library for Python | Stephen M. McQuay
        presentation | recording

Python and Core Technologies

  • A Technical Anatomy of SPM.Python, a Scalable, Parallel Version of Python | Minesh B. Amin
        slides | recording
  • IPython: a new architecture for interactive and parallel computing | Fernando Perez, Brian Granger, Min Ragan-Kelley, Evan Patterson, Thomas Kluyver
        slides | recording
  • Lessons Learned Building a Scalable Distributed Storage System in Python | Chuck Thier
        slides | recording
  • AudGenDB: Intuitive biomedical query and reporting tool using Django | Byron Ruth
        slides | recording
  • Meet Twiggy: A Pythonic Logger | Pete Fein
        slides | recording
  • Google App Engine for Python | Douglas Starnes
        slides | recording
  • PyModel: Model-based testing in Python | Jonathan Jacky
        slides | recording
  • Documentation with Dexy | Ana Nelson
        slides | recording

Lightning Talks | recording

  • Verifying correctness of PDE solvers using SymPy | Jed Brown
        slides
  • Mining Lectures | Marcel Caraciolo
        slides
  • 10 Awesome Tricks for Numerical Researchers | Matthew R. Goodman
        slides
  • The Risch Algorithm for Symbolic Integration in SymPy | Aaron Meurer
        slides
  • What I would like to see in NumPy | Travis Oliphant
        slides
  • What's New With Theano? | David Warde-Farley
        slides
  • Using Disco and MapReduce to study mRNA complexity | Dan Williams
        slides
  • What’s new and awesome in pandas | Wes McKinney
        slides
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