Nbtoolbelt: Tools to Work with Jupyter Notebooks

    Research output: Non-textual formSoftwareAcademic

    Abstract

    * validate: validate notebooks
    * head: show head or tail of notebooks
    * dump: dump notebook info and source on terminal
    * stats: summarize notebooks with statistics
    * view: view notebook, including all embedded images, LaTeX, and HTML in a browser
    * cat: catenate multiple notebooks
    * clean: clean notebooks by removing specified elements
    * run: execute notebooks, with pre/post cleaning
    * split: split notebooks into MarkDown, code, and raw
    * punch: punch holes into notebooks and fill them (for creating exercises)

    Available as library functions and as configurable command-line scripts.

    Includes documentation.
    Original languageEnglish
    PublisherThe Python Package Index
    Media of outputOnline
    Publication statusPublished - 4 Oct 2017

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