PyVideo.org · SciPy 2013 (original) (raw)
SciPy 2013, the twelfth annual Scientific Computing with Python conference, was held June 24th-29th 2013 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 academic, commercial, and governmental organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.
A comprehensive look at representing physical quantities in Python
A Portrait of One Scientist as a Graduate Student
A Rapidly-Adaptable Imaging & Measurement Platform for Cancer Research; SciPy 2013 Presentation
Accessing the Virtual Observatory from Python; SciPy 2013 Presentation
Advances in delivery and access tools for coastal ocean model data; SciPy 2013 Presentation
An Open Source System for De-identification and Use of Medical Images; SciPy 2013 Presentation
Analyzing IBM Watson experiments with IPython Notebook; SciPy 2013 Presentation
Automating Quantitative Confocal Microscopy Analysis; SciPy 2013 Presentation
Breaking the diffraction limit with python and scipy; SciPy 2013 Presentation
Bringing astronomical tools down to earth; SciPy 2013 Presentation
Climate Observations from ACIS in pandas; SciPy 2013 Presentation
Data Agnosticism: Feature Engineering Without Domain Expertise; SciPy 2013 Presentation
DMTCP: Bringing Checkpoint-Restart to Python; SciPy 2013 Presentation
Dynamics with SymPy Mechanics; SciPy 2013 Presentation
Emacs + org-mode + python in reproducible research; SciPy 2013 Presentation
Estimating and Visualizing the Inertia of the Human Body with Python; SciPy 2013 Presentation
Experiences in Python for Medical Image Analysis; SciPy 2013 Presentation
Exploring Collaborative HPC Visualization Workflows using VisIt and Python; SciPy 2013 Presentation
High Performance Reproducible Computing; SciPy 2013 Presentation
Iris & Cartopy: Python packages for Atmospheric and Oceanographic science; SciPy 2013 Presentation
lmonade: a platform for development and distribution of scientific software; SciPy 2013 Presentation
Massive Online Collaborative Research and Modeling using Synapse and Python; SciPy 2013 Presentation
Matplotlib: past, present and future; SciPy 2013 Presentation
Matrix Expressions and BLAS/LAPACK; SciPy 2013 Presentation
NeuroTrends: Large-scale automated analysis of the neuroimaging literature; SciPy 2013 Presentation
Oil spill modeling and uncertainty forecasts with Python; SciPy 2013 Presentation
open('/dev/real_world') - Raspberry Pi Sensor and Actuator Control; SciPy 2013 Presentation
Opening Up Astronomy with Python and AstroML; SciPy 2013 Presentation
Parallel Volume Rendering in yt: User Driven & User Developed; SciPy 2013 Presentation
Python Tools for Coding and Feature Learning; SciPy 2013 Presentation
Reproducible Documents with PythonTeX; SciPy 2013 Presentation
Scikit-Fuzzy: A New SciPy Toolkit for Fuzzy Logic; SciPy 2013 Presentation
SciPy 2013 John Hunter Excellence in Plotting Contest
SciPy 2013 Lightning Talks, Thu June 27
SciPy 2013 Lightning Talks, Wed June 26
SymPy Gamma and SymPy Live: Python and Mathematics Online; SciPy 2013 Presentation
The DyND Library; SciPy 2013 Presentation
The Open Science Framework: Improving, by Opening, Science; SciPy 2013 Presentation
Using IPython Notebook with IPython Cluster; SciPy 2013 Presentation
Using Python to drive the General NOAA Operational Modeling Environment; SciPy 2013 Presentation
Using Sumatra to Manage Numerical Simulations
XDress - Type, But Verify; SciPy 2013 Presentation
A Gentle Introduction To Machine Learning; SciPy 2013 Presentation
All-by-all learning of protein complexes from mass spectrometry data
An efficient workflow for reproducible science; SciPy 2013 Presentation
Astropy, growing a community-based software system for astronomy
Astropy, growing a community-based software system for astronomy; SciPy 2013 Presentation
Best-practice variant calling pipeline for automated sequencing analysis; SciPy 2013 Presentation
Combining C++ and Python in the LSST Software Stack
Combining C++ and Python in the LSST Software Stack; SciPy 2013 Presentation
Complex Experiment Configuration ... using Robot Operating System (ROS); SciPy 2013 Presentation
Detection and characterization of interactions of genetic risk factors
Exploring disease genetics from thousands of individual genomes with Gemini; SciPy 2013 Presentation
Ginga: an open-source astronomical image viewer and toolkit
Ginga: an open-source astronomical image viewer and toolkit; SciPy 2013 Presentation
GIS Panel Discussion
GIS Panel Discussion; SciPy 2013 Presentation
GraphTerm: A notebook-like graphical terminal interface; SciPy 2013 Presentation
Hyperopt: A Python library for optimizing machine learning algorithms; SciPy 2013
Import without a filesystem, SciPy 2013 Presentation
Infer.py: Probabilistic Programming and Bayesian Inference from Python; SciPy 2013 Presentation
IPython-powered Slideshow Reveal-ed; SciPy 2013 Presentation
Julia and Python: a dynamic duo for scientific computing; SciPy 2013 Presentation
LarvaMap - A python powered larval transport modeling system; SciPy 2013 Presentation
lpEdit: An editor to facilitate reproducible analysis; SciPy 2013 Presentation
metaseq: a Python framework for integrating sequencing analyses; SciPy 2013 Presentation
MIST: Micro-Simulation Tool to Support Disease Modeling
MIST: Micro-Simulation Tool to Support Disease Modeling; SciPy 2013 Presentation
Modeling the Earth with Fatiando a Terra; SciPy 2013 Presentation
Multidimensional Data Exploration with Glue; SciPy 2013 Presentation
Mystic: a framework for predictive science; SciPy 2013 Presentation
Optimizing Geographic Processing and Analysis for Big Data; SciPy 2013 Presentation
OS deduplication with SIDUS (single-instance distributing universal system); SciPy 2013 Presentation
Processing biggish data on commodity hardware: simple Python patterns; SciPy 2013 Presentation
PyOP2: a Framework for Performance-Portable Unstructured Mesh-based Simulations, SciPy 2013
Python and the SKA
Python and the SKA; SciPy 2013 Presentation
Pythran: Enabling Static Optimization of Scientific Python Programs; SciPy 2013 Presentation
Roadmap to a Sentience Stack; SciPy 2013 Presentation
SCI-WMS: A Python Based Web Map Service For Met-Ocean Data; SciPy 2013 Presentation
Scientific Computing and the Materials Genome Initiative; SciPy 2013 Presentation
SciPy 2013 Conference Welcome and Introduction
SciPy 2013 Keynote: IPython: the method behind the madness
SciPy 2013 Keynote: The New Scientific Publishers
SciPy 2013 Keynote: The New Scientific Publishers
SciPy 2013 Keynote: Trends in Machine Learning and the SciPy community
Skdata: Data seets and algorithm evaluation protocols in Python; SciPy 2013 Presentation
Streamed Clustering of Lightning Mapping Data in Python Using sklearn; SciPy 2013 Presentation
Stuff to do with your genomic intervals; SciPy 2013 Presentation
SunPy - Python for Solar Physicists
SunPy - Python for Solar Physicists; SciPy 2013 Presentation
The advantages of a scientific IDE; SciPy 2013 Presentation
The Production of a Multi-Resolution Global Index for GIS; SciPy 2013 Presentation
Using Python for Structured Prediction; SciPy 2013 Presentation
vIPer, a new tool to work with IPython notebooks; SciPy 2013 Presentations
Why you should write buggy software with as few features as possible; SciPy 2013 Presentation
Writing Reproducible Papers with Dexy; SciPy 2013 Presentation
Anatomy of Matplotlib, SciPy2013 Tutorial, Part 1 of 3
Anatomy of Matplotlib, SciPy2013 Tutorial, Part 2 of 3
Anatomy of Matplotlib, SciPy2013 Tutorial, Part 3 of 3
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran, SciPy2013 Tutorial, Part 4 of 4
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran, SciPy2013 Tutorial, Part 1 of 4
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran, SciPy2013 Tutorial, Part 2 of 4
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran, SciPy2013 Tutorial, Part 3 of 4
Data Processing with Python, SciPy2013 Tutorial, Part 3 of 3
Data Processing with Python, SciPy2013 Tutorial, Part 2 of 3
Data Processing with Python, SciPy2013 Tutorial, Part 1 of 3
Diving into NumPy Code, SciPy2013 Tutorial, Part 4 of 4
Diving into NumPy Code, SciPy2013 Tutorial, Part 1 of 4
Diving into NumPy Code, SciPy2013 Tutorial, Part 2 of 4
Diving into NumPy Code, SciPy2013 Tutorial, Part 3 of 4
Intro to scikit-learn (I), SciPy2013 Tutorial, Part 3 of 3
Intro to scikit-learn (I), SciPy2013 Tutorial, Part 2 of 3
Intro to scikit-learn (I), SciPy2013 Tutorial, Part 1 of 3
Intro to scikit-learn (II), SciPy2013 Tutorial, Part 2 of 2
Intro to scikit-learn (II), SciPy2013 Tutorial, Part 1 of 2
IPython in Depth, SciPy2013 Tutorial, Part 1 of 3
IPython in Depth, SciPy2013 Tutorial, Part 2 of 3
IPython in Depth, SciPy2013 Tutorial, Part 3 of 3
NumPy and IPython, SciPy2013 Tutorial, Part 1 of 2
NumPy and IPython, SciPy2013 Tutorial, Part 2 of 2
Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 1 of 4
Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 4 of 4
Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 3 of 4
Statistical Data Analysis in Python, SciPy2013 Tutorial, Part 2 of 4
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 5 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 4 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 3 of 6
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 6 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 1 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 6 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 5 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 4 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 3 of 6
Using Geospatial Data with Python, SciPy2013 Tutorial, Part 2 of 6
Version Control and Unit Testing for Scientific Software, SciPy2013 Tutorial, Part 3 of 3
Version Control and Unit Testing for Scientific Software, SciPy2013 Tutorial, Part 2 of 3
Symbolic Computing with SymPy, SciPy2013 Tutorial, Part 1 of 6
