THE PROCEEDINGS

Python in Science Conferences

The SciPy Conference is a cross-disciplinary gathering focused on the use and development of the Python language in scientific research. This event strives to bring together both users and developers of scientific tools, as well as academic research and state of the art industry.

From the 2024 Proceedings

Algorithms to Determine Asteroid’s Physical Properties using Sparse and Dense Photometry, Robotic Telescopes and Open Data

Arushi Nath
https://doi.org/10.25080/TWCF2755

Mamba Models a possible replacement for Transformers?

The quest for more efficient and faster deep learning models has led to the development of various alternatives to Transformers, one of which is the Mamba model. This paper provides a comprehensive comparison between Mamba models and Transformers, focusing on their architectural differences, performance metrics, and underlying mechanisms.
Suvrakamal Das, Rounak Sen, Saikrishna Devendiran
https://doi.org/10.25080/XHDR4700

Orchestrating Bioinformatics Workflows Across a Heterogeneous Toolset with Flyte

While Python excels at prototyping and iterating quickly, it’s not always performant enough for whole-genome scale data processing. Flyte, an open-source Python-based workflow orchestrator, presents an excellent way to tie together the myriad tools required to run bioinformatics workflows.
Pryce Turner
https://doi.org/10.25080/DDJJ4932

Funix - The laziest way to build GUI apps in Python

Presenting a model or algorithm as a GUI application is a common need in the scientific and engineering community. Funix was created to automatically launch apps from existing Python functions, automatically selecting widgets based on the types of the arguments and returning functions according to the type-to-widget mapping defined in a theme.
Forrest Sheng Bao, Mike Qi, Ruixuan Tu, +1
https://doi.org/10.25080/JFYN3740

See All 2024 Articles

The annual SciPy Conferences allows participants from academic, commercial, and governmental organizations to:

  • showcase their latest Scientific Python projects,
  • learn from skilled users and developers, and
  • collaborate on code development.

The conferences generally consists of multiple days of tutorials followed by two-three days of presentations, and concludes with 1-2 days developer sprints on projects of interest to the attendees.

NumFOCUS - Insight Software Consortium (ITK) (n.d.)

References