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16th SciPy 2017, Austin, Texas
- Katy Huff, David Lippa, Dillon Niederhut, Michael Pacer:
Proceedings of the 16th Python in Science Conference 2017, SciPy 2017, Austin, Texas, July 10 - July 16, 2017. scipy.org 2017 - Brendt Wohlberg
:
SPORCO: A Python package for standard and convolutional sparse representations. 1-8 - Dillon Niederhut
Software Transactional Memory in Pure Python. 9-11 - Geoffrey M. Poore:
BespON: Extensible config files with multiline strings, lossless round-tripping, and hex floats. 12-19 - Horea-Ioan Ioanas, Bechara John Saab, Markus Rudin:
LabbookDB: A Wet-Work-Tracking Database Application Framework. 20-27 - Ingo Heimbach, Florian Rhiem, Fabian Beule, David Knodt, Josef Heinen, Robert O. Jones:
pyMolDyn: Identification, structure, and properties of cavities in condensed matter and molecules. 28-33 - Jaime Arias
PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function. 34-40 - Alicia Clark, Joseph L. Hellerstein:
SciSheets: Providing the Power of Programming With The Simplicity of Spreadsheets. 41-48 - Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, Jürgen Schmidhuber:
The Sacred Infrastructure for Computational Research. 49-56 - Theodore Lindsay, Peter T. Weir, Floris van Breugel:
FigureFirst: A Layout-first Approach for Scientific Figures. 57-63 - Mahzad Khoshlessan, Ioannis Paraskevakos, Shantenu Jha, Oliver Beckstein:
Parallel Analysis in MDAnalysis using the Dask Parallel Computing Library. 64-72 - Manuel Krebber, Henrik Barthels, Paolo Bientinesi:
MatchPy: A Pattern Matching Library. 73-80 - Michael Beyeler
pulse2percept: A Python-based simulation framework for bionic vision. 81-88 - Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, Gerard J. Gorman:
Optimised finite difference computation from symbolic equations. 89-97 - Narendra Mukherjee, Joseph Wachutka, Donald B. Katz:
Python meets systems neuroscience: affordable, scalable and open-source electrophysiology in awake, behaving rodents. 98-105 - Oleksandr Pavlyk, Denis Nagorny, Andres Guzman-Ballen, Anton A. Malakhov, Hai Liu, Ehsan Totoni, Todd A. Anderson, Sergey Maidanov:
Accelerating Scientific Python with Intel Optimizations. 106-112 - Scott Sievert, Daniel Ross, Lalit Jain, Kevin Jamieson, Robert Nowak, Robert Mankoff:
NEXT: A system to easily connect crowdsourcing and adaptive data collection. 113-119 - Will T. Barnes
ChiantiPy: a Python package for Astrophysical Spectroscopy. 120-
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