Jupyter4Science is a knowledge base that contains original content and curated resources about developing and sharing Jupyter Notebooks as they are used in the context of scientific applications.
Jupyter Notebook and the Jupyter Ecosystem
Computational notebooks, including Jupyter Notebooks, come in many varieties, but they all have one thing in common: much like traditional laboratory notebooks, computational notebooks contain code cells interspersed with text that can be used to explain their analysis.
This is an example of Markdown formatted text followed by code chunks
Our Mission
However, our knowledge base is intended for a research-oriented audience, including computational scientists, research software engineers (RSEs), academic data scientists, social scientists, digital humanities researchers, and students, and anyone else who use Jupyter Notebooks to conduct research. Our aim is to provide rich resources for researchers, students, and RCD professionals about better practices to improve the accessibility, reuse, and reproducibility of their scientific software, data, and computational workflows.
Original Content and Resources
The knowledge base contains original content including tutorials, templates, blog posts, and example notebooks. We also curate and summarize external content like YouTube videos, podcast episodes, and more.
Development Environments for Jupyter Notebooks
Reproducible Environments
Sharing Notebooks
Creating Publications with Quarto
Templates and Best Practices
Jupyter Notebooks as Peer-Reviewed Publications
Building Data Dashboards and Web Applications with Jupyter Notebooks
We hope that these resources reduce pain points and improve the efficiency and quality of your research. We’re excited to introduce Jupyter4Science to you!
