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  1. 2
      .gitignore
  2. 3
      .gitmodules
  3. 11
      README.md
  4. 4
      assets/fonts/font-awesome.css
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  16. 1
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  17. 1
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  18. 1
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  19. 1
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  25. 1
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  26. 1
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  27. 1
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  28. 1
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  29. 1
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  30. 1
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  31. 1
      assets/javascripts/lunr/lunr.stemmer.support.js
  32. 1
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  33. 1
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  34. 1
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  35. 1
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  36. 1176
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  37. 2552
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  38. 492
      converting/index.html
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  40. 51
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2
.gitignore vendored

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# mkdocs
site/

3
.gitmodules vendored

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[submodule "mkdocs-material"]
path = mkdocs-material
url = https://git.charlesreid1.com/charlesreid1/mkdocs-material

11
README.md

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# how do I pandoc?
A quick guide to doing useful things with pandoc, the swiss army knife for documents.
See [how do I pandoc?](https://pages.charlesreid1.com/how-do-i-pandoc)
(the website).
Source repository on git.charlesreid1.com [here](https://git.charlesreid1.com/charlesreid1/how-do-i-pandoc).
Source repository on github [here](https://github.com/charlesreid1/how-do-i-pandoc).

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/*!
* Licensed under the Apache License, Version 2.0 (the "License"); you may not
* use this file except in compliance with the License. You may obtain a copy
* of the License at:
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING, SOFTWARE
* DISTRIBUTED UNDER THE LICENSE IS DISTRIBUTED ON AN "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, EITHER EXPRESS OR IMPLIED.
* SEE THE LICENSE FOR THE SPECIFIC LANGUAGE GOVERNING PERMISSIONS AND
* LIMITATIONS UNDER THE LICENSE.
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assets/javascripts/lunr/lunr.sv.js

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<h1>Converting Text</h1>
<h2 id="converting-text">Converting Text<a class="headerlink" href="#converting-text" title="Permanent link">&para;</a></h2>
<p>To use pandoc to convert text, specify an output file, then feed it input files.
You can also specify input and output formats, and use some basic pandoc flags
to control how the process goes.</p>
<p>To specify an output file, use the <code>-o</code> or <code>--output</code> flag.</p>
<p>All other file names passed on the command line are interpreted as input files.</p>
<p>For example, to convert text to HTML, we can either convert the text
into a fragment of HTML, or into a full, standalone document using the <code>-s</code>
or <code>--standalone</code> flag:</p>
<div class="codehilite"><pre><span></span>$ pandoc -o output.html input.txt # generate a fragment of html
$ pandoc -s -o output.html input.txt # generate a standalone html document
</pre></div>
<p>To specify formats, use the <code>-t</code> or <code>--to</code> flag, and the <code>-f</code> or <code>--from</code> flag.
For example, converting from Github-flavored Markdown (gfm) to HTML looks like:</p>
<div class="codehilite"><pre><span></span>$ pandoc -f gfm -t html -o my_cool_html_file.html my_cool_markdown_file.md
</pre></div>
<p>See <a href="http://pandoc.org/MANUAL.html#options">list of formats</a>.</p>
<p>If no output file is specified, output will go to stdout.
This enables pandoc to be chained together with other tools
into pipelines.</p>
<p>In that spirit, input to pandoc can also come from stdin.
To make pandoc a component of a data pipeline, simply feed
input from stdin and pipe output from stdout:</p>
<div class="codehilite"><pre><span></span>$ cat my_cool_markdown_file.md | pandoc -f gfm -t html | ...
</pre></div>
<p>We can also generate and convert documents on the fly from the command line:</p>
<div class="codehilite"><pre><span></span>$ echo &quot;# Hello World
[this is the earth](https://earth.com)&quot; | pandoc -f gfm -t html
&lt;h1 id=&quot;hello-world&quot;&gt;Hello World&lt;/h1&gt;
&lt;p&gt;&lt;a href=&quot;https://earth.com&quot;&gt;this is the earth&lt;/a&gt;&lt;/p&gt;
</pre></div>
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docs/converting.md

@ -1,51 +0,0 @@ @@ -1,51 +0,0 @@
## Converting Text
To use pandoc to convert text, specify an output file, then feed it input files.
You can also specify input and output formats, and use some basic pandoc flags
to control how the process goes.
To specify an output file, use the `-o` or `--output` flag.
All other file names passed on the command line are interpreted as input files.
For example, to convert text to HTML, we can either convert the text
into a fragment of HTML, or into a full, standalone document using the `-s`
or `--standalone` flag:
```
$ pandoc -o output.html input.txt # generate a fragment of html
$ pandoc -s -o output.html input.txt # generate a standalone html document
```
To specify formats, use the `-t` or `--to` flag, and the `-f` or `--from` flag.
For example, converting from Github-flavored Markdown (gfm) to HTML looks like:
```
$ pandoc -f gfm -t html -o my_cool_html_file.html my_cool_markdown_file.md
```
See [list of formats](http://pandoc.org/MANUAL.html#options).
If no output file is specified, output will go to stdout.
This enables pandoc to be chained together with other tools
into pipelines.
In that spirit, input to pandoc can also come from stdin.
To make pandoc a component of a data pipeline, simply feed
input from stdin and pipe output from stdout:
```
$ cat my_cool_markdown_file.md | pandoc -f gfm -t html | ...
```
We can also generate and convert documents on the fly from the command line:
```plain
$ echo "# Hello World
[this is the earth](https://earth.com)" | pandoc -f gfm -t html
<h1 id="hello-world">Hello World</h1>
<p><a href="https://earth.com">this is the earth</a></p>
```

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docs/filtering_custom.md

@ -1,131 +0,0 @@ @@ -1,131 +0,0 @@
## Filtering Text with Custom Filters
This guide will skip most of the details of
writing custom filters, since it would rapidly
expand the scope of this tutorial.
However, we include a few notes about how custom
filters work and how to apply them.
## How Custom Filters Work
`pandoc` converts every document, regardless of structure,
into a universal JSON document structure. This is what
enables it to convert among formats, and it is also where
any document filters are applied.
To illustrate: imagine we have some abstract custom filter
called `foobar` that will make all bold text underlined
(for example), and we are applying it when converting
from Markdown to HTML.
The process to apply this filter is as follows:
```
Input fmt --(pandoc)--> JSON -- Filter --> JSON --(pandoc)--> Output fmt
```
In practice, we can create this pipeline on the
command line, or from Python.
Also note, it is important to use pandoc with the `-s`
(standalone document) flag.
## Writing Custom Filters
See [this example](https://github.com/sergiocorreia/panflute/blob/master/docs/source/_static/fenced-template.py)
for a Panflute filter template.
The important parts of a pandoc filter are:
* **Prepare function** - run once, before the document is filtered. This is
useful for initializing lists, dictionaries, or files.
* **Finalize function** - run once, after the document has been filtered.
This is useful for doing something with information extracted from
the document.
* **Filter actions** - these functions are run once for each chunk of text.
Each filter action is passed a chunk of text in.
If a filter action returns nothing, the section of text is left unmodified.
Otherwise, the (filtered) text returned by the function is used in its place.
There can be multiple filter actions per document.
* **Main function** - this is where the filter is actually applied.
Here is a barebones filter:
```
def main(doc=None):
return pf.run_filter(action,
prepare=prepare,
finalize=finalize,
doc=doc)
def prepare(doc):
pass
def action(elem, doc):
pass
def finalize(doc):
pass
if __name__=="__main__":
main()
```
## Using Custom Filters
### Command Line
Following the example above, let us apply a filter
while converting `index.md` from github flavored markdown
to HTML.
Start with the initial step, which is markdown to JSON
(include the `-s` flag):
```
$ cat index.md | pandoc -s -f gfm -t json
```
Now this JSON is passed through a filter,
which also returns JSON (more details below).
If we have a `panflute` filter that is in the
file `foobar.py`, it will take JSON input
and return JSON output. We use it like this:
```
$ cat index.md | pandoc -s -f gfm -t json | python foobar.py
```
This will output filtered JSON text. (More on the
filter itself in a moment.)
The output from the filter `foobar.py` can now be passed to
another Pandoc process and converted to a document in the same
or a different format:
```
$ cat index.md | pandoc -s -f gfm -t json | python foobar.py | pandoc -s -f json -t html -o index.html
```
Lastly, if we make `foobar.py` into an executable file called `foobar`
by adding the header `#!/usr/bin/env python` and `chmod +x foobar`,
we can use it as follows:
```
$ cat index.md | pandoc -s -f gfm -t json | foobar | pandoc -s -f json -t html -o index.html
```
### Pypandoc
Custom filters can also be applied using [pypandoc](https://github.com/bebraw/pypandoc),
a thin Python wrapper for the Pandoc command line client.

56
docs/filtering_pre.md

@ -1,56 +0,0 @@ @@ -1,56 +0,0 @@
## Filtering Text with Pre-Written Filters
Pandoc has multiple command line options that
apply some useful pre-written filters.
For a list, just run `pandoc --help`.
Here we cover the most useful filters, and how to use them.
Here are a few example filters:
```
$ pandoc --help
pandoc [OPTIONS] [FILES]
--strip-empty-paragraphs
--extract-media=PATH
--eol=crlf|lf|native
--wrap=auto|none|preserve
--columns=NUMBER
--strip-comments
--toc, --table-of-contents
--toc-depth=NUMBER
--no-highlight
--highlight-style=STYLE|FILE
--syntax-definition=FILE
--reference-links
--reference-location=block|section|document
--default-image-extension=extension
--email-obfuscation=none|javascript|references
```
### Extracting Media
A useful filter is the extract media filter.
This filter is applied by adding a command line
flag to the pandoc call:
```plain
$ pandoc --extract-media=doc1_media doc1.docx
```
This creates a folder next to `doc1.docx`
with the following structure:
```plain
$ ls -R
doc1.docx
doc1_media
./doc1_media:
media
./doc1_media/media:
embedded_image.png
```

50
docs/index.md

@ -1,50 +0,0 @@ @@ -1,50 +0,0 @@
# How Do I Pandoc?
A simple explanation of how to use pandoc, the C-3PO of documents.
Pandoc is a command line tool written in Haskell. It knows many different
dialects of document, so it is capable of extracting the content of
documents in one format and converting them into another format.
Some examples: markdown, github-flavored markdown, reStructured text,
HTML, docx, OpenOffice.Org document format, etc.
It is also possible to write filters for pandoc to process text
in customized ways (e.g., extract all links in a document, or
create a table of contents, or turn bold text into strikethrough
text).
## Installing
Available through most package managers. See [installing pandoc](http://www.pandoc.org/installing.html)
page in the pandoc documentation.
```
$ brew install pandoc
$ apt-get install pandoc
```
## Quickstart
There is a nice [getting started guide](http://pandoc.org/getting-started.html)
in the pandoc documentation for those unfamiliar with command-line tools.
There is also a [user's guide](http://pandoc.org/MANUAL.html) that shows
basic usage of pandoc as a command line tool.
## Common Operations
There are a few common operations with pandoc:
* [Converting text](converting.md) from one format to another (basic)
* [Filtering text with pre-written filters](filtering_pre.md) (intermediate)
* [Filtering text with custom filters](filtering_custom.md) (advanced)
* Some combination of above
There are two ways to use pandoc, covered in each section:
* Pandoc command line tool - `pandoc` command
* Pypandoc API wrapper - [`pypandoc`](https://github.com/bebraw/pypandoc) library

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Filtering Text with Custom Filters
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How Custom Filters Work
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How Custom Filters Work
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<h1>Filtering with Custom Filters</h1>
<h2 id="filtering-text-with-custom-filters">Filtering Text with Custom Filters<a class="headerlink" href="#filtering-text-with-custom-filters" title="Permanent link">&para;</a></h2>
<p>This guide will skip most of the details of
writing custom filters, since it would rapidly
expand the scope of this tutorial.</p>
<p>However, we include a few notes about how custom
filters work and how to apply them.</p>
<h2 id="how-custom-filters-work">How Custom Filters Work<a class="headerlink" href="#how-custom-filters-work" title="Permanent link">&para;</a></h2>
<p><code>pandoc</code> converts every document, regardless of structure,
into a universal JSON document structure. This is what
enables it to convert among formats, and it is also where
any document filters are applied.</p>
<p>To illustrate: imagine we have some abstract custom filter
called <code>foobar</code> that will make all bold text underlined
(for example), and we are applying it when converting
from Markdown to HTML.</p>
<p>The process to apply this filter is as follows:</p>
<div class="codehilite"><pre><span></span>Input fmt --(pandoc)--&gt; JSON -- Filter --&gt; JSON --(pandoc)--&gt; Output fmt
</pre></div>
<p>In practice, we can create this pipeline on the
command line, or from Python.</p>
<p>Also note, it is important to use pandoc with the <code>-s</code>
(standalone document) flag.</p>
<h2 id="writing-custom-filters">Writing Custom Filters<a class="headerlink" href="#writing-custom-filters" title="Permanent link">&para;</a></h2>
<p>See <a href="https://github.com/sergiocorreia/panflute/blob/master/docs/source/_static/fenced-template.py">this example</a>
for a Panflute filter template.</p>
<p>The important parts of a pandoc filter are:</p>
<ul>
<li>
<p><strong>Prepare function</strong> - run once, before the document is filtered. This is
useful for initializing lists, dictionaries, or files.</p>
</li>
<li>
<p><strong>Finalize function</strong> - run once, after the document has been filtered.
This is useful for doing something with information extracted from
the document.</p>
</li>
<li>
<p><strong>Filter actions</strong> - these functions are run once for each chunk of text.
Each filter action is passed a chunk of text in.
If a filter action returns nothing, the section of text is left unmodified.
Otherwise, the (filtered) text returned by the function is used in its place.
There can be multiple filter actions per document. </p>
</li>
<li>
<p><strong>Main function</strong> - this is where the filter is actually applied.</p>
</li>
</ul>
<p>Here is a barebones filter:</p>
<div class="codehilite"><pre><span></span>def main(doc=None):
return pf.run_filter(action,
prepare=prepare,
finalize=finalize,
doc=doc)
def prepare(doc):
pass
def action(elem, doc):
pass
def finalize(doc):
pass
if __name__==&quot;__main__&quot;:
main()
</pre></div>
<h2 id="using-custom-filters">Using Custom Filters<a class="headerlink" href="#using-custom-filters" title="Permanent link">&para;</a></h2>
<h3 id="command-line">Command Line<a class="headerlink" href="#command-line" title="Permanent link">&para;</a></h3>
<p>Following the example above, let us apply a filter
while converting <code>index.md</code> from github flavored markdown
to HTML.</p>
<p>Start with the initial step, which is markdown to JSON
(include the <code>-s</code> flag):</p>
<div class="codehilite"><pre><span></span>$ cat index.md | pandoc -s -f gfm -t json
</pre></div>
<p>Now this JSON is passed through a filter,
which also returns JSON (more details below).
If we have a <code>panflute</code> filter that is in the
file <code>foobar.py</code>, it will take JSON input
and return JSON output. We use it like this:</p>
<div class="codehilite"><pre><span></span>$ cat index.md | pandoc -s -f gfm -t json | python foobar.py
</pre></div>
<p>This will output filtered JSON text. (More on the
filter itself in a moment.)</p>
<p>The output from the filter <code>foobar.py</code> can now be passed to
another Pandoc process and converted to a document in the same
or a different format:</p>
<div class="codehilite"><pre><span></span>$ cat index.md | pandoc -s -f gfm -t json | python foobar.py | pandoc -s -f json -t html -o index.html
</pre></div>
<p>Lastly, if we make <code>foobar.py</code> into an executable file called <code>foobar</code>
by adding the header <code>#!/usr/bin/env python</code> and <code>chmod +x foobar</code>,
we can use it as follows:</p>
<div class="codehilite"><pre><span></span>$ cat index.md | pandoc -s -f gfm -t json | foobar | pandoc -s -f json -t html -o index.html
</pre></div>
<h3 id="pypandoc">Pypandoc<a class="headerlink" href="#pypandoc" title="Permanent link">&para;</a></h3>
<p>Custom filters can also be applied using <a href="https://github.com/bebraw/pypandoc">pypandoc</a>,
a thin Python wrapper for the Pandoc command line client.</p>
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<h1>Filtering with Pre-Written Filters</h1>
<h2 id="filtering-text-with-pre-written-filters">Filtering Text with Pre-Written Filters<a class="headerlink" href="#filtering-text-with-pre-written-filters" title="Permanent link">&para;</a></h2>
<p>Pandoc has multiple command line options that
apply some useful pre-written filters.</p>
<p>For a list, just run <code>pandoc --help</code>.</p>
<p>Here we cover the most useful filters, and how to use them.
Here are a few example filters:</p>
<div class="codehilite"><pre><span></span>$ pandoc --help
pandoc [OPTIONS] [FILES]
--strip-empty-paragraphs
--extract-media=PATH
--eol=crlf|lf|native
--wrap=auto|none|preserve
--columns=NUMBER
--strip-comments
--toc, --table-of-contents
--toc-depth=NUMBER
--no-highlight
--highlight-style=STYLE|FILE
--syntax-definition=FILE
--reference-links
--reference-location=block|section|document
--default-image-extension=extension
--email-obfuscation=none|javascript|references
</pre></div>
<h3 id="extracting-media">Extracting Media<a class="headerlink" href="#extracting-media" title="Permanent link">&para;</a></h3>
<p>A useful filter is the extract media filter.
This filter is applied by adding a command line
flag to the pandoc call:</p>
<div class="codehilite"><pre><span></span>$ pandoc --extract-media=doc1_media doc1.docx
</pre></div>
<p>This creates a folder next to <code>doc1.docx</code>
with the following structure:</p>
<div class="codehilite"><pre><span></span>$ ls -R
doc1.docx
doc1_media
./doc1_media:
media
./doc1_media/media:
embedded_image.png
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<h1 id="how-do-i-pandoc">How Do I Pandoc?<a class="headerlink" href="#how-do-i-pandoc" title="Permanent link">&para;</a></h1>
<p>A simple explanation of how to use pandoc, the C-3PO of documents.</p>
<p>Pandoc is a command line tool written in Haskell. It knows many different
dialects of document, so it is capable of extracting the content of
documents in one format and converting them into another format.</p>
<p>Some examples: markdown, github-flavored markdown, reStructured text,
HTML, docx, OpenOffice.Org document format, etc.</p>
<p>It is also possible to write filters for pandoc to process text
in customized ways (e.g., extract all links in a document, or
create a table of contents, or turn bold text into strikethrough
text).</p>
<h2 id="installing">Installing<a class="headerlink" href="#installing" title="Permanent link">&para;</a></h2>
<p>Available through most package managers. See <a href="http://www.pandoc.org/installing.html">installing pandoc</a>
page in the pandoc documentation.</p>
<div class="codehilite"><pre><span></span>$ brew install pandoc
$ apt-get install pandoc
</pre></div>
<h2 id="quickstart">Quickstart<a class="headerlink" href="#quickstart" title="Permanent link">&para;</a></h2>
<p>There is a nice <a href="http://pandoc.org/getting-started.html">getting started guide</a>
in the pandoc documentation for those unfamiliar with command-line tools.</p>
<p>There is also a <a href="http://pandoc.org/MANUAL.html">user's guide</a> that shows
basic usage of pandoc as a command line tool.</p>
<h2 id="common-operations">Common Operations<a class="headerlink" href="#common-operations" title="Permanent link">&para;</a></h2>
<p>There are a few common operations with pandoc:</p>
<ul>
<li><a href="converting/">Converting text</a> from one format to another (basic)</li>
<li><a href="filtering_pre/">Filtering text with pre-written filters</a> (intermediate)</li>
<li><a href="filtering_custom/">Filtering text with custom filters</a> (advanced)</li>
<li>Some combination of above</li>
</ul>
<p>There are two ways to use pandoc, covered in each section:</p>
<ul>
<li>Pandoc command line tool - <code>pandoc</code> command</li>
<li>Pypandoc API wrapper - <a href="https://github.com/bebraw/pypandoc"><code>pypandoc</code></a> library</li>
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