In this way, Jupyter Notebooks have become living texts and reports. The code, which can come from actual data, can be tweaked and re-tweaked to visualize different results and scenarios. Some of its uses, according to Project Jupyter's website, include "data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more." Scientific institutions are using Jupyter Notebooks to explain research results. Jupyter offers support for over 40 programming languages, including Python, R, and Julia, and its code can be exported to HTML, LaTeX, PDF, images, and videos or as IPython notebooks to be shared with other users.įun fact: "Jupyter" is an acronym for "Julia, Python, and R." Jupyter evolved from the IPython Project, which features an interactive shell and a browser-based notebook with support for code, text, and mathematical expressions. Jupyter (which I first learned about at All Things Open in October 2017) is an open source application that enables users to create interactive, shareable notebooks that contain live code, equations, visualizations, and text. The Jupyter Notebook is addressing this problem by reimagining how we produce instructional texts. This is a particular issue in the areas of mathematics, science, and programming, where well-designed charts, illustrations, and equations can be key to helping people understand technical information. Since the days of papyrus, publishers have struggled with formatting data in ways that engage readers.
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