SciPy 2024

isabel zimmerman

Isabel Zimmerman is a software engineer at Posit, PBC where she works primarily on building open-source Python tools for MLOps tasks. She also serves as an Editor at pyOpenSci, where she helps facilitate reviewing open scientific software in the Python ecosystem. Outside of computers, Isabel spends most of her time teaching her dogs new tricks or trying to learn how to sew.

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Sessions

07-09
13:30
240min
Create Your First Pure Python Package: Make Your Python Code Easier to Share and Use
Leah Wasser, isabel zimmerman, Jeremiah Paige

Creating code that can be shared and reused is the pinnacle of open science. But tools and skills to share your code can be tricky to learn. In this hands-on tutorial, you’ll learn how to turn your pure Python code into an installable Python module that can be shared with others. To get the most out of this tutorial, you should be familiar with writing Python code, Python environments and functions.

You will leave this tutorial understanding how to:

  • Create code that can be installed into different environments
  • Use Hatch as a workflow tool, making setup and installation of your code easier
  • Use Hatch to publish your package to (test) PyPI
Tutorials
Ballroom B/C
07-12
13:15
30min
From Code to Clarity: Using Quarto for Python Documentation
isabel zimmerman

To effectively share scientific results, we must blend narrative text and code to create polished, interactive output. Quarto is an open-source scientific publishing system to help you communicate with others through code. Quartodoc is a Python package that generates function references within Quarto websites. Together, these tools create beautiful documentation that is reproducible, accessible, and easily editable.

This talk will include examples of Quarto in action–from simple blogs to expansive Python package documentation including web-assembly powered live examples. Listeners will walk away knowing how to Quarto websites, when to use quartodoc, and how these tools create better documentation.

Playing Nice: Scientific Computing Across Programming Languages
Room 315