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Event: SciPy 2016

SciPy 2016, the 15th annual Scientific Computing with Python conference, will be held July 11-17, 2016 in Austin, Texas. The annual SciPy Conference brings together over 650 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of 2 days of tutorials (July 11-12), 3 days of talks (July 13-15), and 2 days of developer sprints (July 16-17).

Other events in this series:

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3D Drawing in Python: Reviving Visual

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A BLAS for Tensors with Portable High Performance

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A Whirlwind Tour of UC Berkeley’s Data Science Education Program

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Automatic Machine Learning?

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Community-Powered Packaging with conda-forge (BoF Session)

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Computational Supply Chain Risk Management for Open Source Software

Image from Conduit: A Scientific Data Exchange Library for HPC Simulations

Conduit: A Scientific Data Exchange Library for HPC Simulations

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Constructing Models to Deal with Missing Data

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Democratizing Geostats

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Diffing and Merging Jupyter Notebooks with nbdime

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DyND Callables

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Emperor, Interactive Beta diversity Exploration

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Generalized Earthquake Focal Mechanism Classification

Image from GR: Plotting with Python or Julia

GR: Plotting with Python or Julia

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Hacking the CPython Interpreter

Image from HistomicsTK: Seamless Analytics for Biomedical Microscopy

HistomicsTK: Seamless Analytics for Biomedical Microscopy

Image from HyperSpy: How to Easily Bend Multi-dimensional Data to your Analytical Will

HyperSpy: How to Easily Bend Multi-dimensional Data to your Analytical Will

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Integrating Scripting into Commercial Applications

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JupyterLab: Building Blocks for Interactive Computing

Image from Keynote: Machine Learning for Social Science

Keynote: Machine Learning for Social Science

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Keynote: Project Jupyter

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Labs in the Wild: Teaching Signal Processing Using Wearables & Jupyter Notebooks

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Launching Python Applications on Peta scale Massively Parallel Systems

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Machine Learning for Time Series Data in Python

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Modeling Rate and State Friction with Python

Image from Proselint: The Linting of Science Prose, and the Science of Prose Linting

Proselint: The Linting of Science Prose, and the Science of Prose Linting

Image from QCDB Database Tools for Managing and Harmonizing Quantum Chemistry

QCDB Database Tools for Managing and Harmonizing Quantum Chemistry

Image from QIIME 2: Self-documenting, Extensible, and Reproducible Microbiome Analysis in Python 3.

QIIME 2: Self-documenting, Extensible, and Reproducible Microbiome Analysis in Python 3.

Image from Reinventing the whl: New Developments in the Upstream Python Packaging Ecosystem

Reinventing the whl: New Developments in the Upstream Python Packaging Ecosystem

Image from Scaling Up and Out Programming GPU Clusters with Numba and Dask

Scaling Up and Out Programming GPU Clusters with Numba and Dask

Image from SymEngine A Fast Symbolic Manipulation Library

SymEngine A Fast Symbolic Manipulation Library

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SymPy Code Generation

Image from Tell Me Something I Don't Know: Analyzing OkCupid Profiles

Tell Me Something I Don't Know: Analyzing OkCupid Profiles

Image from The FOSSEE Python Project

The FOSSEE Python Project

Image from What's new in Spyder 3.0

What's new in Spyder 3.0

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Working towards all the Geophysics, but Backwards

Image from A Simulation Framework for Studying the Code Acquisition and Tracking Functions of a Global Positioning System (GPS) Receiver

A Simulation Framework for Studying the Code Acquisition and Tracking Functions of a Global Positioning System (GPS) Receiver

Image from A String Theorist's Journey with Python

A String Theorist's Journey with Python

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Analysis and Visualization of 3D Data with yt

Image from Analyzing and Manipulating Data with Pandas Beginner

Analyzing and Manipulating Data with Pandas Beginner

Image from Bootstrapping an Open Source Library: How MetPy Got Up and Running with Lazy Developers

Bootstrapping an Open Source Library: How MetPy Got Up and Running with Lazy Developers

Image from Communicating Model Results

Communicating Model Results

Image from Composable Multi Threading for Python Libraries

Composable Multi Threading for Python Libraries

Image from Dask Parallel and Distributed Computing

Dask Parallel and Distributed Computing

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Data Science is Software

Image from datreant: Persistent, Pythonic Trees for Heterogeneous Data

datreant: Persistent, Pythonic Trees for Heterogeneous Data

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Experiments as Iterators asyncio in Science

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Getting More from Your Core: Processing & Analysis of Well Core CT Data

Image from Give Your Data an Entrance Exam: Tools from Psychometrics for Data Quality Evaluation

Give Your Data an Entrance Exam: Tools from Psychometrics for Data Quality Evaluation

Image from Governing Open Source Projects at Scale: Lessons from Wikipedia's Growing Pains

Governing Open Source Projects at Scale: Lessons from Wikipedia's Growing Pains

Image from GT Py : Accelerating NumPy programs on CPU&GPU w/ Minimal Programming Effort

GT Py : Accelerating NumPy programs on CPU&GPU w/ Minimal Programming Effort

Image from High Quality, High Performance Clustering with HDBSCAN

High Quality, High Performance Clustering with HDBSCAN

Image from HoloViews Let your Data Reveal Itself

HoloViews Let your Data Reveal Itself

Image from HOPE: A Python Just-In-Time Compiler for Astrophysical Computations

HOPE: A Python Just-In-Time Compiler for Astrophysical Computations

Image from How to “Scrape” Together a Great Dataset Using Things You Find on the Internet Using Python & SciP

How to “Scrape” Together a Great Dataset Using Things You Find on the Internet Using Python & SciP

Image from JupyterHub as an Interactive Supercomputing Gateway

JupyterHub as an Interactive Supercomputing Gateway

Image from Keynote: Domain - Specific Languages to Modern Processors

Keynote: Domain - Specific Languages to Modern Processors

Image from Large Scale Geospatial Analytics with Python, Spark, and Impala

Large Scale Geospatial Analytics with Python, Spark, and Impala

Image from Lightning Talks 2016-07-13

Lightning Talks 2016-07-13

Image from MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations

MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations

Image from MONTE Python for Deep Space Navigation

MONTE Python for Deep Space Navigation

Image from MPCite: Continuous and High-throughput Allocation of Digital Object Identifiers for Calculated and Contributed Data in the Materials Project

MPCite: Continuous and High-throughput Allocation of Digital Object Identifiers for Calculated and Contributed Data in the Materials Project

Image from NumPy Beginner

NumPy Beginner

Image from Out with the Old and in with the New: Embedding Python in Old Fortran HPC Code

Out with the Old and in with the New: Embedding Python in Old Fortran HPC Code

Image from Processing a Petabyte of Planetary Pixels with Python

Processing a Petabyte of Planetary Pixels with Python

Image from PySPH: A Reproducible and High performance Framework for Smoothed Particle Hydrodynamics

PySPH: A Reproducible and High performance Framework for Smoothed Particle Hydrodynamics

Image from PyTeCK: A Python-based automatic testing package for chemical kinetic models

PyTeCK: A Python-based automatic testing package for chemical kinetic models

Image from Python and R Together at Last: Writing Cross Language Tools

Python and R Together at Last: Writing Cross Language Tools

Image from Python at the Intersection of Data Science, Machine Learning & Cyber Anomaly Detection

Python at the Intersection of Data Science, Machine Learning & Cyber Anomaly Detection

Image from Reproducible, One Button Workflows with the Jupyter Notebook & Scons

Reproducible, One Button Workflows with the Jupyter Notebook & Scons

Image from Running Python Apps in the Browser

Running Python Apps in the Browser

Image from Sharing Reproducible Environments with Binder

Sharing Reproducible Environments with Binder

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Time Series Analysis with Python Intermediate

Image from UConnRCMPy: Python-based Data Analysis for Rapid Compression Machines

UConnRCMPy: Python-based Data Analysis for Rapid Compression Machines

Image from Using Open Source Tools to Refactor Geoscience Education

Using Open Source Tools to Refactor Geoscience Education

Image from Psi4: A Case Study on Modernizing & Modularizing Quantum Chemistry w/ Python & C++

Psi4: A Case Study on Modernizing & Modularizing Quantum Chemistry w/ Python & C++

Image from Simulating Robot, Vehicle, Spacecraft, and Animal Motion w/ Python Advanced

Simulating Robot, Vehicle, Spacecraft, and Animal Motion w/ Python Advanced

Image from Symbolic Computation with Python using SymPy (Beginner)

Symbolic Computation with Python using SymPy (Beginner)