Forked from Andrew's masterpiece:https://github.com/ajtulloch/LaTeX2Markdown, An AMS-LaTeX compatible converter that maps a subset of LaTeX to Markdown/MathJaX.
Project description
An AMS-LaTeX compatible converter from (a subset of) LaTeX to MathJaX compatible Markdown.
Anyone who writes LaTeX documents using the AMS-LaTeX packages (amsmath, amsthm, amssymb) and wants to convert these documents to Markdown format to use with MathJaX. These Markdown files can then be easily added to any web platform - Jekyll blogs, Wordpress, basic HTML sites, etc.
In short, if you seek to use MathJaX to view your LaTeX documents online, then you might be interested in this.
Demonstration
Check out tullo.ch/projects/LaTeX2Markdown for a live demonstration of the converter.
Getting Started
Installation
The project is available on PyPI, so getting it is as simple as using
pip install latex2markdown-bbsmp
or
easy_install latex2markdown-bbsmp
Usage
The utility can be called from the command line, or from within a Python script.
For the command line, the syntax to convert a LaTeX file to a Markdown file is as follows:
python -m latex2markdown-bbsmp path/to/latex/file path/to/output/markdown/file t
For example, to compile a LaTeX file sample.tex into a Markdown file sample.md, call
python -m latex2markdown-bbsmp sample.tex sample.md
To use it within a Python script (to extend it, modify output, etc.), you can use it as follows:
import latex2markdown with open("latex_file.tex", "r") as f: latex_string = f.read() l2m = latex2markdown.LaTeX2Markdown(latex_string) markdown_string = l2m.to_markdown() with open("markdown_file.md", "w") as f: f.write(markdown_string)
Finally, add the following snippet to your HTML when loading this document.
<script type="text/x-mathjax-config"> MathJax.Hub.Config({ extensions: ["tex2jax.js", "AMSmath.js"], jax: ["input/TeX", "output/HTML-CSS"], tex2jax: { inlineMath: [ ['$','$'], ["\\(","\\)"] ], displayMath: [ ['$$','$$'], ["\[","\]"] ], processEscapes: true }, }); </script> <script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"> </script>
For a working example, have a look at the source of the tullo.ch homepage here.
Why not use Pandoc?
Pandoc is an excellent document converter for less complex LaTeX documents. Indeed, I’ve used it to convert this README document to a reST version for use on PyPI.
Unfortunately, it is not designed to deal with documents that use the AMSTeX extensions - which include the theorem, lemma, proof, and exercise environments that are heavily used for typesetting papers, lecture notes, and other documents.
As neither Pandoc nor MathJaX can deal with these documents, I hacked together a set of regular expressions that can convert a subset of LaTeX to Markdown, and used a few more to convert the sMarkdown to MathJaX-convertible Markdown.
Example
As an example, the following LaTeX code:
\section{Example Section} \begin{thm}[Euclid] There are infinitely many primes. \end{thm} \begin{proof} Suppose that $p_1 < p_2 < \dots < p_n$ are all of the primes. Let $P = 1 + \prod_{i=1}^n p_i$ and let $p$ be a prime dividing $P$. Then $p$ can not be any of $p_i$, for otherwise $p$ would divide the difference $P - \left(\prod_{i=1}^n p_i \right) - 1$, which is impossible. So this prime $p$ is still another prime, and $p_1, p_2, \dots p_n$ cannot be all of the primes. \end{proof}
is converted into the following Markdown:
### Example Section #### Theorem 1 (Euclid) > There are infinitely many primes. #### Proof Suppose that $p_1 < p_2 < \dots < p_n$ are all of the primes. Let $P = 1 + \prod_{i=1}^n p_i$ and let $p$ be a prime dividing $P$. Then $p$ can not be any of $p_i$, for otherwise $p$ would divide the difference $P - \left(\prod_{i=1}^n p_i \right) - 1$, which is impossible. So this prime $p$ is still another prime, and $p_1, p_2, \dots p_n$ cannot be all of the primes.
Supported LaTeX/AMSTeX Environments
emph, textbf, texttt
thm
prop
lem
exer
proof
chapter
section
subsection
itemize
enumerate
along with everything supported by MathJax - list available online.
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