semvec/pypi-packages huggingface dataset:
pandoc 2.4
Pandoc Documents for Python
License: MIT License


Pandoc (Python Library)
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🚀 Getting started
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Install [Pandoc] first, for example with [conda]:

    $ conda install -c conda-forge pandoc

Then, install the Pandoc Python Library with pip:

    $ pip install --upgrade pandoc


🌌 Overview 
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[Pandoc] is the awesome open-source command-line tool that converts documents 
from one format to another. The project was initiated by [John MacFarlane]; 
under the hood, it's a [Haskell] library.

The Pandoc Python Library brings [Pandoc]'s document model to Python:

    $ echo "Hello world!" | python -m pandoc read 
    Pandoc(Meta({}), [Para([Str('Hello'), Space(), Str('world!')])])

It can be used to analyze, create and transform documents, in Python:

    >>> import pandoc
    >>> text = "Hello world!"
    >>> doc = pandoc.read(text)
    >>> doc
    Pandoc(Meta({}), [Para([Str('Hello'), Space(), Str('world!')])])

    >>> paragraph = doc[1][0]
    >>> paragraph
    Para([Str('Hello'), Space(), Str('world!')])
    >>> from pandoc.types import Str
    >>> paragraph[0][2] = Str('Python!')
    >>> text = pandoc.write(doc)
    >>> print(text)
    Hello Python!

For more information, refer to the  [📖 documentation][doc].

[Pandoc]: https://pandoc.org/
[John MacFarlane]: https://johnmacfarlane.net/
[pandoc-install]: https://pandoc.org/installing.html
[conda]: https://docs.conda.io
[Haskell]: https://www.haskell.org/
[Python]: https://www.python.org/
[TPD]: https://hackage.haskell.org/package/pandoc-types-1.20/docs/Text-Pandoc-Definition.html
[doc]: https://boisgera.github.io/pandoc