Metadata-Version: 2.1
Name: pyptex
Version: 1.0.1
Summary: Python Preprocessor for (La)TeX
Home-page: https://github.com/sloisel/pyptex
Author: Sébastien Loisel
Author-email: sloisel@gmail.com
License: MIT
Project-URL: Documentation, https://htmlpreview.github.io/?https://github.com/sloisel/pyptex/blob/master/html/pyptex.html
Project-URL: Source, https://github.com/sloisel/pyptex
Description: # PypTeX: the Python Preprocessor for TeX
        
        ### Author: Sébastien Loisel
        
        PypTeX is the Python Preprocessor for LaTeX. It allows one to embed Python
        code fragments in a LaTeX template file.
        
        <img alt="An example plot with PypTeX" width="500" src="https://raw.githubusercontent.com/sloisel/pyptex/master/examples/brochure.png">
        
        # Installation
        
        `pip install pyptex`
        
        1. You will also need a LaTeX installation, and the default LaTeX processor is `pdflatex`.
        2. You need a Python 3 installation.
        
        # Hello, world
        
        Put the following in `example.tex`:
        
        	\documentclass{article}
        	@{from sympy import *}
        	\begin{document}
        	$$\int x^3\,dx = @{S('integrate(x^3,x)')}+C$$
        	\end{document}
        
        The command `pyptex example.tex` will generate `example.pdf` and an intermediary
        pure-LaTeX file `example.pyptex`. The resulting PDF can be found
        [here](https://github.com/sloisel/pyptex/blob/master/examples/example.pdf)
        
        * The `pyptex` executable tries to locate the Python 3 executable using `/usr/bin/env python3`. If this is causing you problems, try `python -u -m pyptex example.tex` instead.
        
        # Slightly bigger examples
        
        * 2d and 3d plotting [tex](https://github.com/sloisel/pyptex/blob/master/examples/plots.tex)
        | 
        [pdf](https://github.com/sloisel/pyptex/blob/master/examples/plots.pdf)
        * Matrix inverse exercise [tex](https://github.com/sloisel/pyptex/blob/master/examples/matrixinverse.tex)
        |
        [pdf](https://github.com/sloisel/pyptex/blob/master/examples/matrixinverse.pdf)
        * The F19NB handout for numerical linear algebra at Heriot-Watt university is generated with PypTeX. [pdf](https://www.macs.hw.ac.uk/~sl398/notes.pdf)
        
        # TeXShop
        
        If you want to use TeXShop on Mac, put the following into `~/Library/TeXShop/Engines/pyptex.engine` and restart TeXShop:
        ```
        #!/bin/bash
        pyptex $1
        ```
        
        # Documentation
        
        Detailed documentation can be found [here](https://htmlpreview.github.io/?https://github.com/sloisel/pyptex/blob/master/html/pyptex.html)
        
Platform: UNKNOWN
Requires-Python: >=3
Description-Content-Type: text/markdown
