{ "info": { "author": "Martin Skarzynski", "author_email": "marskar@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 2 - Pre-Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "Sunder\n======\n\nExtract YAML, code, and markdown files from an R markdown (Rmd) file.\n\n|PyPI| |Travis| |Documentation Status| |Updates|\n\nThe ``sunder`` Python package consists of 2 shell commands and\nfunctions: - ``sunder``, which extracts 1) a YAML file, 2) Python or R\nscripts and 3) `Markdown `__ (md) files\nfrom Rmd files. ``sunder`` can either output one R script per code chunk\nor a single R script per Rmd file (similar to ``knitr::purl``).\nSimilarly, Markdown content can be combined into a single file or output\nas separate files. Python package. - ``catrmd``, which\ncon\\ **cat**\\ enates input files to output an `R\nMarkdown `__\n(Rmd) file.\n\nWrite reports in R markdown format and use sunder to extract code from R\nmarkdown code chunks.\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/sunder.svg\n :target: https://pypi.python.org/pypi/sunder\n.. |Travis| image:: https://img.shields.io/travis/marskar/sunder.svg\n :target: https://travis-ci.org/marskar/sunder\n.. |Documentation Status| image:: https://readthedocs.org/projects/sunder/badge/?version=latest\n :target: https://sunder.readthedocs.io/en/latest/?badge=latest\n.. |Updates| image:: https://pyup.io/repos/github/marskar/sunder/shield.svg\n :target: https://pyup.io/repos/github/marskar/sunder/\n\n\n=======\nHistory\n=======\n\n0.0.1 (2018-12-11)\n------------------\n\n* First release on PyPI.\n\n\n", "description_content_type": "text/x-rst", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, 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