Auto-eD: A visual learning tool for automatic differentiation

Python Jupyter Notebook JavaScript Submitted 18 December 2020Published 05 July 2022

Editor: @labarba (all papers)
Reviewers: @rasbt (all reviews), @Atcold (all reviews)


Lindsey S. Brown (0000-0002-9387-1387), Rachel Moon (0000-0002-5906-7192), David Sondak (0000-0002-2730-9097)


Brown et al., (2022). Auto-eD: A visual learning tool for automatic differentiation. Journal of Open Source Education, 5(53), 161,

@article{Brown2022, doi = {10.21105/jose.00161}, url = {}, year = {2022}, publisher = {The Open Journal}, volume = {5}, number = {53}, pages = {161}, author = {Lindsey Brown and Rachel Moon and David Sondak}, title = {Auto-eD: A visual learning tool for automatic differentiation}, journal = {Journal of Open Source Education} }
Copy citation string · Copy BibTeX  

automatic differentiation

Markdown badge



Authors of JOSE papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2577-3569