Accepted Paper Slides
- Fast Exploration of the Milky Way (or any other n-dimensional dataset), Francesc Alted
- Better (Open Source) Homes and Gardens with Project Pythia, Drew Camron, and Kevin Tyle
- Accessibility best practices for authoring Jupyter notebooks, Isabela Presedo-Floyd, and Stephannie Jimenez Gacha
- Gammapy: a Python package for gamma-ray astronomy, Axel Donath, and The Gammapy Developer Team (https://gammapy.org/team.html)
- Python Array API Standard: Toward Array Interoperability in the Scientific Python Ecosystem, Aaron Meurer
- bayes\_mapvar: Bayesian Statistics with Python, No Resampling Necessary, Charles Lindsey
- New CUDA Toolkit packages for Conda, Rick Ratzel, and Thomson Comer, and John Kirkham
- Taming Black Swans: Long-tailed distributions in the natural and engineered world, Allen B. Downey
- In-Process Analytical Data Management with DuckDB, Alexander Monahan, and Hannes Mülheisen, and Mark Raasveldt, and Pedro Holanda
- DataJoint: Bringing databases back into data science, Raphael Guzman, and Dimitri Yatsenko
- Accelerating the Use of Public Geohysical Data for Recharging California's Groundwater, Seogi Kang, and Steve Purves
- Interactive Exploration of Large-Scale Datasets with Jupyter-Scatter, Fritz Lekschas
- vak: a neural network framework for researchers studying animal acoustic communication , David Nicholson, and Yarden Cohen
- Open Force Field: next-generation force fields with open data, open software, and open science, Jeffrey Wagner
- Pandera: Going Beyond Pandas DataFrame Validation, Niels Bantilan
- Tidy geospatial data cubes, Emma Marshall, and Deepak Cherian, and Scott Henderson
- Zarr: Community specification of large, cloud-optimised, N-dimensional, typed array storage, Sanket Verma, and Josh Moore, and John Kirkham
Accepted Posters
- Unleashing the Power of Modern Portfolio Theory: Maximizing Returns while Managing Risk, Kalyan Prasad
- Data engineering and analytics for photolithography manufacturing process at DuPont - A practical approach from lab to fab, Avishek Panigrahi, and Stefan J Caporale, and Abhishek Shrivastava, and Sumanth Sekar
- EEG-to-fMRI Neuroimaging Cross Modal Synthesis in Python, David Calhas
- Hamilton: Scalable, Portable, and Self-Documenting Dataflows in Python, Stefan Krawczyk, and Elijah ben Izzy, and Levi Sweet-Breu, and Emily Rexer, and Chris Vernon, and Melissa Allen-Dumas
- itk-elastix: Medical image registration in Python, Konstantinos Ntatsis, and Niels Dekker, and Viktor van der Valk, and Tom Birdsong, and Dženan Zukić, and Stefan Klein, and Marius Staring, and Matthew McCormick
- Spatial Microsimulation and Activity Allocation in Python: An Update on the Likeness Toolkit, Joseph V. Tuccillo, and James D. Gaboardi
- Matchmaker: A Toolkit for Combining Satellite Observations from Multiple Sensors, Greg Quinn
- Patterns and Anti-Patterns when Measuring Diversity in Open Source, amanda casari
- PyQtGraph - High Performance Visualization for All Platforms, Ognyan Moore, and Nathan Jessurun, and Nils Nemitz, and Martin Chase, and Luke Campagnola
- PyVista, Tetsuo Koyama
- OpenCRUMS: Open Classification of Regimes in the Southeast USA, Robert Jackson, and Maria Zawadowicz, and Die Wang, and Chongai Kuang, and Minnie Park, and Michael Jensen, and Scott Collis
- Analyse the uncertainty of your system: Sensitivity Analysis in Python with scipy.stats.sobol\_indices, Pamphile T. Roy
- aPhyloGeo-Covid: A Web Interface for Reproducible Phylogeographic Analysis of SARS-CoV-2 Variation using Neo4j and Snakemake, Wanlin Li, and Nadia Tahiri
- Moving the Earth with thermodynamics and python, Cian Wilson, and Marc Spiegelman, and Owen Evans, and Mark Ghiorso, and Lucy Tweed
- TUG-RSE: Pulling Students into Research Software Engineering, Aman Goel
- Yori: a new, highly customizable tool for Level-3 data production, Paolo Veglio, and Robert Holz, and Liam Gumley, and Steve Dutcher, and Greg Quinn, and Bruce Flynn
SciPy Tools Plenaries
- SciPy Tools Plenary on Matplotlib, Elliott Sales de Andrade
- SciPy Tools Plenary on SciPy, Pamphile T. Roy
- Zarr Updates for SciPy 2023, Josh Moore
Lightning Talks
- NumFOCUS Academic Consortium and Open Source Pledge, Arliss Collins
- Hamilton: drop procedural scripts in favor of declarative functions, Stefan Krawczyk