Jupyter Notebooks – a publishing format for reproducible computational workflowsIt is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.
Binder 2.0 - Reproducible, interactive, sharable environments for science at scaleProject Jupyter, Matthias Bussonnier, Jessica Zosa Forde et al.|Proceedings of the Python in Science Conferences|2018 Binder is an open source web service that lets users create sharable, interactive, reproducible environments in the cloud. It is powered by other core projects in the open source ecosystem, including JupyterHub and Kubernetes for managing cloud resources. Binder works with pre-existing workflows in the analytics community, aiming to create interactive versions of repositories that exist on sites like GitHub with minimal extra effort needed. This paper details several of the design decisions and goals that went into the development of the current generation of Binder.
Active diffusion positions the nucleus in mouse oocytesActive Mechanics Reveal Molecular-Scale Force Kinetics in Living Oocytesnbgrader: A Tool for Creating and Grading Assignments in the Jupyter NotebookProject Jupyter, Douglas Blank, David Bourgin et al.|Journal of Open Source Education|2019 nbgrader is a flexible tool for creating and grading assignments in the Jupyter Notebook nbgrader allows instructors to create a single, master copy of an assignment, including tests and canonical solutions. From the master copy, a student version is generated without the solutions, thus obviating the need to maintain two separate versions. nbgrader also automatically grades submitted assignments by executing the notebooks and storing the results of the tests in a database. After auto-grading, instructors can manually grade free responses and provide partial credit using the formgrader Jupyter Notebook extension. Finally, instructors can use nbgrader to leave personalized feedback for each student's submission, including comments as well as detailed error information.