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Jupyter: Thinking and Storytelling with Code and Data
  • Brian Granger,
  • Fernando Pérez
Brian Granger
California Polytechnic State University, San Luis Obispo, Amazon Web Services
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Fernando Pérez
Department of Data Science and Technology, Computational Research Division, Lawrence Berkeley National Laboratory, Department of Statistics, UC Berkeley
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Project Jupyter is an open-source project for interactive computing widely used in data science, machine learning, and scientific computing. We argue that even though Jupyter helps users perform complex, technical work, Jupyter itself solves problems that are fundamentally human in nature. Namely, Jupyter helps humans to think and tell stories with code and data. We illustrate this by describing three dimensions of Jupyter: interactive computing, computational narratives, and  the idea that Jupyter is more than software. We illustrate the impact of these dimensions on a community of practice in Earth and climate science.

Peer review timeline

09 Feb 2021Submitted to Computing in Science and Engineering
10 Feb 2021Published in Computing in Science and Engineering