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Reproducible scientific analysis - Binder allows you to share an interactiveД®nvironment along with your code and analysis.

UC Berkeley uses Binder to let others interact with open data science textbooks. Science and are publicly accessible? Binder can provide interactivity to readers,ДЄllowing them a more rich experience with your content.

Open educational resources - Want to share educational materials that use data.

ForД®xample, the scikit-learn documentation uses Binder to let users try their examples.

JUPYTER NOTEBOOK HOW TO

вЂњdo you also love spending the first half of your workshop sorting out how to install stuff?вЂќ). It has been used extensively (Scipy and Pycon workshops.

Technical documentation - Binder tools can be used to provide interactivity to documentation andДemonstrations of tools.

Software Carpentry uses Binder links for their novice Python lesson. You to get students up-and-running with the code much more quickly. This is great for workshops, tutorials, and classes and allows

Teaching and training - Binder lets you share links to interactive data analytics environments.

When repositories follow these best practices and are hosted inДЄn online repository, then Binder automatically builds a linkable environment anybody can access. Science by utilizing community-developed standards for The Binder Project builds tools that reward best practices in reproducible data Use cases involve workshops, scientific workflows and streamline sharing among teams. It allows users to specify custom environments and share them with a single link. The Binder project offers an easy place to share computing environments to everyone.

Jupyter notebook