Ultimately, understanding, and the responsibility of making decisions based on this understanding, are fundamentally human activities. As a tool for interactive computing, Jupyter enables users to apply computation and data to challenging questions in contexts as diverse as climate change, policy, public health, research, business operations, justice, legislation, and more.
Computational narratives
While IPython and other REPLs/WETLs offer an interactive computing experience that enables users to think with code and data, they lack permanence. More specifically, these tools help a user to think in the moment, but when a session is closed there are no persistent artifacts that can be used to share, disseminate, or reproduce the work. This is the second human problem that Jupyter solves and brings us to the idea of a computational narrative.