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20th SciPy 2021, Virtual Conference
- Meghann Agarwal, Chris Calloway, Dillon Niederhut, David Shupe:
Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12 - July 18, 2021. scipy.org 2021 - Haw-minn Lu, José Unpingco:
How PDFrw and fillable forms improves throughput at a Covid-19 Vaccine Clinic. 1-5 - Mark Thoren, Cristina Suteu:
Using Python for Analysis and Verification of Mixed-mode Signal Chains. 6-13 - Blaine H. M. Mooers:
Modernizing computing by structural biologists with Jupyter and Colab. 14-22 - Bradley D. Dice, Brandon L. Butler, Vyas Ramasubramani, Alyssa Travitz, Michael M. Henry, Hardik Ojha, Kelly L. Wang, Carl S. Adorf, Eric Jankowski, Sharon C. Glotzer:
signac: Data Management and Workflows for Computational Researchers. 23-32 - Daniel Margala, Laurie Stephey, Rollin C. Thomas, Stephen J. Bailey:
Accelerating Spectroscopic Data Processing Using Python and GPUs on NERSC Supercomputers. 33-39 - Edis Jakupovic, Oliver Beckstein:
MPI-parallel Molecular Dynamics Trajectory Analysis with the H5MD Format in the MDAnalysis Python Package. 40-48 - Frederick Reiss, Bryan Cutler, Zachary Eichenberger:
Natural Language Processing with Pandas DataFrames. 49-57 - Romeo Kienzler, Ivan Nesic:
CLAIMED, a visual and scalable component library for Trusted AI. 58-64 - James Fox, Tom Everitt, Ryan Carey, Eric D. Langlois, Alessandro Abate, Michael J. Wooldridge:
PyCID: A Python Library for Causal Influence Diagrams. 65-73 - Jyotika Singh:
Social Media Analysis using Natural Language Processing Techniques. 74-80 - Kumaran Baskaran, Jonathan R. Wedell, Eldon L. Ulrich, Jeffery C. Hoch, John L. Markley:
PyBMRB: Data visualization tool for BioMagResBank. 81-84 - Zoufiné Lauer-Baré, Erich Gaertig:
Conformal Mappings with SymPy: Towards Python-driven Analytical Modeling in Physics. 85-83 - Amanda E. Kraft, Matthew Widjaja, Trevor M. Sands, Brad J. Galego:
Programmatically Identifying Cognitive Biases Present in Software Development. 94-105 - Michele Martone, Simone Bacchio:
PyRSB: Portable Performance on Multithreaded Sparse BLAS Operations. 106-115 - Neelima Pulagam, Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn:
Classification of Diffuse Subcellular Morphologies. 115-122 - Rollin C. Thomas, Laurie Stephey, Annette Greiner, Brandon Cook:
Monitoring Scientific Python Usage on a Supercomputer. 123-131 - Joesph Holt, Scott Sievert:
Training machine learning models faster with Dask. 132-139 - Todd A. Anderson, Tim Mattson:
Multithreaded parallel Python through OpenMP support in Numba. 140-147 - Marian-Leontin Pop, Szilárd Molnár, Alexandru Pop, Benjamin Kelényi, Levente Tamas, Andrei Cozma:
CNN Based ToF Image Processing. 148-153 - Varun Kapoor, Claudia Carabaña:
Cell Tracking in 3D using deep learning segmentations. 154-161
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