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ORCID14th SciPy 2015, Austin, Texas
- Kathryn D. Huff, James Bergstra:
Proceedings of the 14th Python in Science Conference, SciPy 2015, Austin, Texas, USA, July 6-12, 2015. scipy.org 2015 - Allen B. Downey:
Will Millennials Ever Get Married? 1-5 - Ankur Ankan, Abinash Panda:
pgmpy: Probabilistic Graphical Models using Python. 6-11 - Brian E. Chapman, Jeannie Irwin:
Python as a First Programming Language for Biomedical Scientists. 12-17 - Brian McFee, Colin Raffel, Dawen Liang, Daniel P. W. Ellis, Matt McVicar, Eric Battenberg, Oriol Nieto:
librosa: Audio and Music Signal Analysis in Python. 18-24 - Chris Drake:
PyEDA: Data Structures and Algorithms for Electronic Design Automation. 25-30 - Cory Quammen:
Scientific Data Analysis and Visualization with Python, VTK, and ParaView. 31-38 - David Lippa, Jason Vertrees:
Creating a Real-Time Recommendation Engine using Modified K-Means Clustering and Remote Sensing Signature Matching Algorithms. 39-42 - Howard Bushouse, Michael Droettboom, Perry Greenfield:
The James Webb Space Telescope Data Calibration Pipeline. 43-47 - Ian Henriksen
:
Circumventing The Linker: Using SciPy's BLAS and LAPACK Within Cython. 48-50 - David Masad, Jacqueline L. Kazil:
Mesa: An Agent-Based Modeling Framework. 51-58 - Jean-Luc Richard Stevens, Philipp J. F. Rudiger, James A. Bednar:
HoloViews: Building Complex Visualizations Easily for Reproducible Science. 59-66 - Jordi Torrents, Fabrizio Ferraro:
Structural Cohesion: Visualization and Heuristics for Fast Computation with NetworkX and matplotlib. 67-76 - Josh Walawender:
Automated Image Quality Monitoring with IQMon. 77-83 - Kathryn D. Huff:
PyRK: A Python Package For Nuclear Reactor Kinetics. 84-90 - Luke Campagnola, Almar Klein, Eric Larson, Cyrille Rossant, Nicolas P. Rougier:
VisPy: Harnessing The GPU For Fast, High-Level Visualization. 91-96 - Margaret Y. Mahan, Chelley R. Chorn, Apostolos P. Georgopoulos:
White Noise Test: detecting autocorrelation and nonstationarities in long time series after ARIMA modeling. 97-104 - Mark A. Wickert:
Signal Processing and Communications: Teaching and Research Using IPython Notebook. 105-112 - Mattheus P. Ueckermann, Robert D. Chambers, Christopher A. Brooks, William E. Audette, Jerry Bieszczad:
pyDEM: Global Digital Elevation Model Analysis. 113-120 - Matthew Craig:
Widgets and Astropy: Accomplishing Productive Research with Undergraduates. 121-125 - Matthew Rocklin:
Dask: Parallel Computation with Blocked algorithms and Task Scheduling. 126-132 - Mellissa Cross:
PySPLIT: a Package for the Generation, Analysis, and Visualization of HYSPLIT Air Parcel Trajectories. 133-137 - Mellissa Cross:
TrendVis: an Elegant Interface for dense, sparkline-like, quantitative visualizations of multiple series using matplotlib. 138-143 - Michael D. Pacer:
Causal Bayesian NetworkX. 144-151 - Nicola Creati, Roberto Vidmar, Paolo Sterzai:
Geodynamic simulations in HPC with Python. 152-157 - The Qiita Development Team:
Qiita: report of progress towards an open access microbiome data analysis and visualization platform. 158-163 - Randy C. Paffenroth, Xiangnan Kong:
Python in Data Science Research and Education. 164-170 - Scott James, James Larkin:
Relation: The Missing Container. 171-174 - Sebastian Benthall:
Testing Generative Models of Online Collaboration with BigBang. 175-181 - Sebastián Sepúlveda, Pablo Reyes, Alejandro J. Weinstein:
Visualizing physiological signals in real-time. 182-186 - Faical Yannick Palingwende Congo:
Building a Cloud Service for Reproducible Simulation Management. 187-
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