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Proceedings of the 16th Python in Science Conference

SciPy 2017, Austin, Texas July 10 - July 16

Accepted Papers

SPORCO: A Python package for standard and convolutional sparse representations

Brendt Wohlberg

doi: 10.25080/shinma-7f4c6e7-001, pages: 1-8

Software Transactional Memory in Pure Python

Dillon Niederhut

doi: 10.25080/shinma-7f4c6e7-002, pages: 9-11

BespON: Extensible config files with multiline strings, lossless round-tripping, and hex floats

Geoffrey Poore

doi: 10.25080/shinma-7f4c6e7-003, pages: 12-19

LabbookDB: A Wet-Work-Tracking Database Application Framework

Horea-Ioan Ioanas, Bechara Saab, Markus Rudin

doi: 10.25080/shinma-7f4c6e7-004, pages: 20-27

pyMolDyn: Identification, structure, and properties of cavities in condensed matter and molecules

Ingo Heimbach, Florian Rhiem, Fabian Beule, David Knodt, Josef Heinen, Robert Jones

doi: 10.25080/shinma-7f4c6e7-005, pages: 28-33

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

Jaime Arias, Philippe Ciuciu, Michel Dojat, Florence Forbes, Aina Frau-Pascual, Thomas Perret, Jan Warnking

doi: 10.25080/shinma-7f4c6e7-006, pages: 34-40

SciSheets: Providing the Power of Programming With The Simplicity of Spreadsheets

Alicia Clark, Joseph Hellerstein

doi: 10.25080/shinma-7f4c6e7-007, pages: 41-48

The Sacred Infrastructure for Computational Research

Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, Jürgen Schmidhuber

doi: 10.25080/shinma-7f4c6e7-008, pages: 49-56

FigureFirst: A Layout-first Approach for Scientific Figures

Theodore Lindsay, Peter Weir, Floris van Breugel

doi: 10.25080/shinma-7f4c6e7-009, pages: 57-63

Parallel Analysis in MDAnalysis using the Dask Parallel Computing Library

Mahzad Khoshlessan, Ioannis Paraskevakos, Shantenu Jha, Oliver Beckstein

doi: 10.25080/shinma-7f4c6e7-00a, pages: 64-72

MatchPy: A Pattern Matching Library

Manuel Krebber, Henrik Bartels, Paolo Bientinesi

doi: 10.25080/shinma-7f4c6e7-00b, pages: 73-80

pulse2percept: A Python-based simulation framework for bionic vision

Michael Beyeler, Geoffrey Boynton, Ione Fine, Ariel Rokem

doi: 10.25080/shinma-7f4c6e7-00c, pages: 81-88

Optimised finite difference computation from symbolic equations

Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard Gorman

doi: 10.25080/shinma-7f4c6e7-00d, pages: 89-97

Python meets systems neuroscience: affordable, scalable and open-source electrophysiology in awake, behaving rodents

Narendra Mukherjee, Joseph Wachutka, Donald Katz

doi: 10.25080/shinma-7f4c6e7-00e, pages: 98-105

Accelerating Scientific Python with Intel Optimizations

Oleksandr Pavlyk, Denis Nagorny, Andres Guzman-Ballen, Anton Malakhov, Hai Liu, Ehsan Totoni, Todd Anderson, Sergey Maidanov

doi: 10.25080/shinma-7f4c6e7-00f, pages: 106-112

NEXT: A system to easily connect crowdsourcing and adaptive data collection

Scott Sievert, Daniel Ross, Lalit Jain, Kevin Jamieson, Rob Nowak, Robert Mankoff

doi: 10.25080/shinma-7f4c6e7-010, pages: 113-119

ChiantiPy: a Python package for Astrophysical Spectroscopy

Will Barnes, Kenneth Dere

doi: 10.25080/shinma-7f4c6e7-011, pages: 120-127