April Clyburne-Sherin walks you through preparing Jupyter notebooks for computationally reproducible publication. You’ll learn best practices for publishing notebooks and get hands-on experience preparing your own research for reuse, creating documentation, and submitting your notebook to share.
Essential information about computational reproducibility
Preparing your data for publication
Preparing your Jupyter notebook for publication
Documenting your research for reuse
Sharing your Jupyter notebook
Integrating reproducibility into your research workflow
April Clyburne-Sherin is an outreach scientist at Code Ocean, where she trains scientists in computational reproducibility best practices. An epidemiologist, methodologist, and expert in open science tools, methods, training, and community stewardship, since 2014, April has focused on training scientists in open and reproducible research methods at the Center for Open Science, Sense about Science, and SPARC. She is coauthor of FOSTER’s Open Science Training Handbook; cofounder of OOO Canada, a network to promote leadership in open access, open education, and open data; and producer of The Method, an open source podcast. She holds an MS in population medicine (epidemiology).
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