Statistics 101 for System Administrators

Spatial-Temporal Prediction of Climate Change Impacts using pyimpute, scikit learn and GDAL

Introduction to Julia - Part 1

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

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

XDress - Type, But Verify; SciPy 2013 Presentation

A Gentle Introduction To Machine Learning; SciPy 2013 Presentation

An efficient workflow for reproducible science; SciPy 2013 Presentation

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; SciPy 2013 Presentation

Complex Experiment Configuration ... using Robot Operating System (ROS); SciPy 2013 Presentation

Exploring disease genetics from thousands of individual genomes with Gemini; SciPy 2013 Presentation

Ginga: an open-source astronomical image viewer and toolkit; SciPy 2013 Presentation

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; 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; 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: 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; 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 2 of 6