Proceedings of the 24th Python in Science Conference
Accepted Papers¶
A Lightweight Pipeline for Rewards-Guided Synthetic Text Generation Using NeMo and RAPIDS
Jiajia Ding, Arham Mehta, Nirmal Juluru
Explaining ML predictions with SHAP
Avik Basu
Explore Solvable and Unsolvable Equations with SymPy
Carl Kadie
Ocetrac: An Object-based Framework for Tracking and Quantifying Climate Events in Gridded Datasets
Cassia Cai, Jacob T. Cohen, Hillary Scannell, Valentina Staneva, LuAnne Thompson
OptiMask: Efficiently Finding the Largest NaN-Free Submatrix
Cyril Joly
Python is all you need: an overview of the composable, Python-native data stack
Deepyaman Datta
Zamba: Computer vision for wildlife conservation
Emily Dorne, Jay Qi, Peter Bull, Colleen Stephens, Mattia Bessone, Benjamin Debetencourt, Barbara Fruth, David Morgan, Meredith S. Palmer, Crickette Sanz, Janika Wendefeuer, Catherine Crockford, Tobias Deschner, Kevin E. Langergraber, Alex K. Piel, Martha Robbins, Volker Sommer, Fiona A. Stewart, Roman M. Wittig, Klaus Zuberbuehler, Hjalmar S. Kühl, Mimi Arandjelovic
A Practical Guide to Data Quality: Problems, Detection, and Strategy
Edson Bomfim
On the Path to Seamless Python Serverless Data Analytics
Enrique Molina-Giménez, German T. Eizaguirre, Pedro García-López
An Active Learning Plugin In Napari To Fine-Tune Models For Large-scale Bioimage Analysis
Fernando Cervantes-Sanchez
Advancing High Energy Physics Data Analysis with Julia -- A Case for JuliaHEP
Ianna Osborne, Jerry 🦑 Ling
CFSpy: A Python Library for the Computation of Chen-Fliess Series
Ivan Perez Avellaneda
Jupyter Book 2 and the MyST Document Stack
Project Jupyter, Evan Bolyen, J Gregory Caporaso, Rowan Cockett, Danny Garside, Chris Holdgraf, Angus Hollands, Julia Kent, Franklin Koch, Jim Madge, Matthew McKay, Mike Morrison, Fernando Pérez, Steve Purves, Min Ragan Kelley, Brian E. J. Rose, Malvika Sharan, Brigitta M. Sipőcz, Stéfan J. Walt, Kirstie Jane Whitaker
Eyes in the sky: Estimating Inland Water Quality Using Landsat Data
Kedar Dabhadkar
Quantum Chemistry Acceleration: Comparative Performance Analysis of Modern DFT Implementations
Kyohei Sahara
Imprecise uncertainty management with uncertain numbers to facilitate trustworthy computations
Yu Chen, Scott Ferson
Redist, a python tool for model-agnostics binned-likelihood fits in High Energy Physics
Marco Colonna, Johannes Albrecht, Florian Bernlochner, Lorenz Gärtner, Abhijit Mathad, Biljana Mitreska
Reproducible Machine Learning Workflows for Scientists with Pixi
Matthew Feickert, Ruben Arts, John Kirkham
NeuroConv: Streamlining Neurophysiology Data Conversion to the NWB Standard
Heberto Mayorquin, Cody Baker, Paul Adkisson-Floro, Szonja Weigl, Alessandra Trappani, Luiz Tauffer, Oliver Rübel, Benjamin Dichter
Performing Object Detection on Drone Orthomosaics with Meta’s Segment Anything Model (SAM)
Nicholas McCarty
Extension of the OpenMC depletion module for transport-independent depletion
Oleksandr Yardas, Paul Romano, Madicken Muk, Kathryn Huff
Pipeline-level differentiable programming for the real world
Andrin Rehmann, Dion Häfner, Alessandro Angioi, Yongquan Qu, Andrei Paleyes
Phlower: A Deep Learning Framework Supporting PyTorch Tensors with Physical Dimensions
Riku Sakamoto
SciPy Proceedings: An Exemplar for Publishing Computational Open Science
Rowan Cockett, Franklin Koch, Steve Purves
Empowering Learners - Teaching Reproducible Research with Open-Source Tools
Deborah Khider, Julien Emile-Geay, David Edge, Nicholas McKay
Numba v2: Towards a SuperOptimizing Python Compiler
Siu Kwan Lam, Stuart Archibald, Stan Seibert
Challenges and Implementations for ML Inference in High-energy Physics
Sanjiban Sengupta, Lorenzo Moneta
Unlocking the Missing 78%: Inclusive Communities for the Future of Scientific Python
Noor Aftab
Enhancing Curve Fitting with SciPy: Interactive Spline Modeling and Reproducibility with SplineCloud
Vadym Pasko