SciPy 2012
- URL:
- http://conference.scipy.org/scipy2012/
- Description:
-
SciPy 2012, the eleventh annual Scientific Computing with Python conference, was held this July in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference allows participants from both academic and commercial organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.
- Date:
- July 16, 2012
- Number of videos:
- 62
| Title | Files |
|---|---|
| Bokeh: An Extensible Implementation of the Grammar of Graphics for Python — Hugo Shi, Peter Wang | video/mp4 |
| Can Python's web and science communities run concurrently? — Eric Bruning | video/mp4 |
| Domain Analysis of Mosaic Proteins in Purple Sea Urchin — Adam Hughes | video/mp4 |
| Enaml - A Framework for Building Declarative User Interfaces — S. Chris Colbert | video/mp4 |
| Fcm - A python library for flow cytometry — Jacob Frelinger | video/mp4 |
| Forking your way to success and happiness: how GitHub style collaboration is ushering in a new era of amateur led innovation. — Tim Clem | video/mp4 |
| How Sequencing Saved Python — Chris Mueller | video/mp4 |
| Interactive Visualization Widgets Using Chaco and Enable — Corran Webster | video/mp4 |
| IPython: tools for the entire lifecycle of research computing — Brian Granger, Evan Patterson, Fernando Pérez, Min Ragan-Kelley, Thomas Kluyver | video/mp4 |
| Lightning Talks - Thursday | video/mp4 |
| luban: a minimalist UI 'language' — Jiao Lin | video/mp4 |
| nD image segmentation using learned region agglomeration with the Ray Python library — Juan Nunez-Iglesias | video/mp4 |
| nmrglue: a Python Module for Working with NMR Data. — Jonathan J. Helmus | video/mp4 |
| Object Oriented Finite Elements at NIST — Andrew Reid | video/mp4 |
| Param: Declarative programming using Parameters — Christopher E. Ball, James A. Bednar | video/mp4 |
| Py-ART: Python for remote sensing science — Scott Collis | video/mp4 |
| Python @ Life — Daniel Williams | video/mp4 |
| Python as Super Glue for the Modern Scientific Workflow — Joshua Bloom | video/mp4 |
| Python's role in VisIt — Cyrus Harrison, Harinarayan Krishnan | video/mp4 |
| PythonTeX: Fast Access to Python from within LaTeX — Geoffrey M. Poore | video/mp4 |
| QuTiP: An open-source Python framework for the dynamics of open quantum systems — Paul Nation, Robert Johansson | video/mp4 |
| Running a Coupled General Circulation Model with Python — Luiz Irber | video/mp4 |
| Surface Subdivision Schemes for Python — Stephen McQuay, William Blattman | video/mp4 |
| Total Recall: flmake and the Quest for Reproducibility — Anthony Scopatz | video/mp4 |
| TuLiP: a toolbox for hybrid and reactive systems research — Richard M. Murray, Scott C. Livingston | video/mp4 |
| Utilizing Python in a Real-Time, Quasi-Operational Meteorological Environment — Patrick Marsh | video/mp4 |
| A tale of four libraries — Alejandro Weinstein, Michael Wakin | video/mp4 |
| A Unified Release of Python & IRAF software for astronomy — James E.H. Turner | video/mp4 |
| ALGES: Geostatistics and Python — Felipe Lema | video/mp4 |
| AstroML: data mining and machine learning for Astronomy — Alex Gray, Andrew Connolly, Jake Vanderplas, Zeljko Ivezic | video/mp4 |
| Astropy - Herding Snakes or Astronomers: which is more difficult? — Erik Tollerud, Perry Greenfield, Thomas Robitaille | video/mp4 |
| Bringing High Performance to Python/Numpy Without Changing a Single Line of Code. — Brian Vinter, Mads Ruben Burgdorff Kristensen, Simon Andreas Frimann Lund, Troels Blum | video/mp4 |
| Building a Solver Based on PyClaw for the Solution of the Multi-Layer Shallow Water Equations — Kyle Mandli | video/mp4 |
| Copperhead: Data Parallel Python — Bryan Catanzaro | video/mp4 |
| Domain Specific Languages for Partial Differential Equations using Ignition — Andy Terrel | video/mp4 |
| Implicit Multicore Parallelism using CnC-Python — Shams Imam, Vivek Sarkar | video/mp4 |
| Julia: A Fast Dynamic Language for Technical Computing — Jeff Bezanson | video/mp4 |
| Lightning Talks - Wednesday | video/mp4 |
| Matplotlib: Lessons from middle age. Or, how you too can turn a hundred lines of patch rejection into two hundred thousand lines of code. — John Hunter | video/mp4 |
| Numba Python bytecode to LLVM translator — Jon Riehl, Travis Oliphant | video/mp4 |
| OpenMG: A New Multigrid Implementation in Python — Akand W. Islam, Tom Bertalan | video/mp4 |
| Parallel Computational Methods and Simulation for Coastal and Hydraulic Applications Using the Proteus Toolkit — Chris Kees | video/mp4 |
| Parallel High Performance Statistical Bootstrapping in Python — Aakash Prasad | video/mp4 |
| Performance Python Panel Discussion — Andy Terrel | video/mp4 |
| PySAL: A Python Library for Exploratory Spatial Data Analysis and Geocomputation — Sergio Rey | video/mp4 |
| QNDArray: A Numpy Clone for C++/Qt — Glen W. Mabey | video/mp4 |
| ROFL: a functional Python dialect for science — Jonathan Riehl | video/mp4 |
| SciPy + MapReduce with Disco — Al Barrentine | video/mp4 |
| Self-driving Lego Mindstorms Robot — Iqbal Mohomed | video/mp4 |
| Solving the import problem: Scalable Dynamic Loading Network File Systems — Aron Ahmadia, Jed Brown, William Scullin | video/mp4 |
| SymPy Stats - Uncertainty Modeling — Matthew Rocklin | video/mp4 |
| Time Series Manipulation with pandas — Wes McKinney | video/mp4 |
| Unlock: A Python-based framework for rapid development of practical brain-computer interface applications — Byron V. Galbraith, Frank H. Guenther, Jonathan S. Brumberg, Sean D. Lorenz | video/mp4 |
| yt: An Integrated Science Environment for Astrophysical Simulations — Matthew Turk | video/mp4 |
| Efficient Parallel Python for High-Performance Computing — Kurt Smith | video/mp4 |
| IPython in-depth: Interactive Tools for Scientific Computing — Fernando Pérez, Min Ragan-Kelley | video/mp4 |
| statsmodels — Skipper Seabold | video/mp4 |
| Time Series Data Analysis with pandas — Wes McKinney | video/mp4 |
| Advanced Matplotlib — Ryan May | video/mp4 |
| HDF5 is for lovers — Anthony Scopatz | video/mp4 |
| Introduction to NumPy and Matplotlib — Eric Jones | video/mp4 |
| scikit-learn — Jake Vanderplas | video/mp4 |