![]() ![]() Since the IPython Notebook came out in 2011, we have spent a lot of time talking to individual and organizational users to understand what delights them about the notebook, and what remains really painful. What need is JupyterLab fulfilling among Jupyter Notebook users, particularly those who work in data science or scientific/technical computing? Lastly, we are all grateful to Fernando Perez, creator of IPython and co-founder with us on Jupyter, for setting off into the uncharted wilderness of scientific open source software in 2001. The team building JupyterLab and PhosphorJS are the driving force behind the work I discuss here. In particular, individuals on the Jupyter Steering Council provide the foundation of the project and are all long-term contributors, without whom the project wouldn’t exist. ![]() Learn moreīefore going further, I want to acknowledge the incredible team working on Jupyter on many fronts, including software, design and organizational aspects. Get a free trial today and find answers on the fly, or master something new and useful. Join the O'Reilly online learning platform. From a user’s perspective, we hope that everything in JupyterLab is familiar, but even more delightful and productive to work with. We view JupyterLab as the evolution of the classic notebook, as it allows a more flexible and powerful way for working with those same building blocks. The classic Jupyter Notebook offers a number of different building blocks for interactive computing: the notebook, file browser, text editor, terminal, outputs, etc. What is JupyterLab and how does it represent what you’ve called the “evolution of the Jupyter web interface?” We recently discussed JupyterLab, how feedback from notebook users informed its design, how its features could benefit the scientific and technical computing communities, and the role of notebooks in academia and even data journalism. He is also an active contributor to and co-leader of the JupyterLab project, which aims to take the Jupyter Notebook interface to the next level with its flexible building blocks for interactive and collaborative computing. He started the original IPython Notebook in 2011 and is one of the co-founders of Project Jupyter. His primary area of research is interactive computing with data and, specifically, Jupyter. Brian Granger is an associate professor of physics at Cal Poly San Luis Obispo, where he also teaches in the university’s undergraduate data science program. ![]()
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