<$BlogRSDUrl$> Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
Marcus P. Zillman, M.S., A.M.H.A. Author/Speaker/Consultant
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Wednesday, March 16, 2016  

jupyter - Open Source, Interactive Data Science and Scientific Computing Across Over 40 Programming Lanaguages

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more. Jupyter features include: a) Language of choice - The Notebook has support for over 40 programming languages, including those popular in Data Science such as Python, R, Julia and Scala; b) Share notebooks - Notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer; c) Interactive widgets - Code can produce rich output such as images, videos, LaTeX, and JavaScript. Interactive widgets can be used to manipulate and visualize data in realtime; and d) Big data integration - Leverage big data tools, such as Apache Spark, from Python, R and Scala. Explore that same data with pandas, scikit-learn, ggplot2, dplyr, etc. This will be added to the tools section of Research Resources Subject Tracerâ„¢ Information Blog. This will be added to Script Resources Subject Tracerâ„¢.

posted by Marcus Zillman | 3:03 AM
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