Metadata-Version: 2.1
Name: nbfancy
Version: 0.1a2
Summary: Tools for rendering notebooks suitable for teaching
Home-page: https://github.com/JDBetteridge/nbfancy
Author: Jack Betteridge
Author-email: J.D.Betteridge@Bath.ac.uk
License: UNKNOWN
Description: # <img alt="NBfancy" src="https://raw.githubusercontent.com/JDBetteridge/nbfancy/master/nbfancy/nbfancylogo.png" height="80">
        
        (C) 2019 Jack Betteridge (j.d.betteridge@bath.ac.uk) and James Grant (r.j.grant@bath.ac.uk)
        
        This repository contains NBfancy,
        a tool for adding decoration and extended features to Jupyter notebooks.
        The code was developed by Jack Betteridge and James Grant
        for the development of programming training material:
        [arc-bath](https://github.com/arc-bath) and [arc-lessons](https://github.com/arc-lessons).
        
        ### Documentation
        
        The install contains the tools which make up the build system for enriching notebooks,
        and by way of example, also contains the documentation in the form of a tutorial.
        This material will assist users in creating their own courses,
        as both a lesson and demonstration of NBfancy's capabilities.
        
        Jupyter notebooks were chosen as the medium for out training material as:
        
        *  They use markdown which is simple to use even for those not familiar.
        *  Modifying individual codeblocks is intuitive compared with Sphinx/Jekyll builds.
        *  We like being able to mix markdown and executable codeblocks in training material.
        
        In order to retain these features we created NBfancy to process initial notebooks
        into enriched Jupyter notebooks for interactive use by students,
        html pages for lesson material
        and pdfs for distribution as printouts (coming in a future release).
        
        The documentation/tutorial is available online in
        [rendered html](https://jdbetteridge.github.io/nbfancy/00_schedule.html)
        
        The library has recently undergone a signficant refactoring so please raise an issue if you encounter any trouble using nbfancy or incosistencies in the documentation.
        
        ### Contributions to NBfancy
        
        If you would like to contribute to NBfancy please fork the repository and create a pull request against the development branch.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Description-Content-Type: text/markdown
