The Jupyter Notebook environment has become an excellent platform for presenting the utility of LP DAAC web services for a number of reasons. Jupyter notebooks are great for demonstrating real world science use cases; giving a step-by-step account of the data, processes, and services used in a scientific workflows. Notebooks can also bridge the gap between users and their knowledge of web services by providing recipes for web service execution. Finally, Jupyter notebooks not only provide the functionality to create beautiful and informative recipes with narratives that provide context, but also can be easily shared through a variety of mechanisms.
