Metadata-Version: 2.1
Name: legendarium
Version: 2.0.4
Summary: Python library to handle SciELO's bibliographic legend
Home-page: https://github.com/scieloorg/legendarium
Author: Jamil Atta Junior
Author-email: jamil.atta@scielo.org
License: BSD license
Description: Legendarium
        ===========
        
        * Python library to handle SciELO`s bibliographic legend
        * License: BSD
        * Compatible With: python 3.3+
        
        [![Build Status](https://travis-ci.org/scieloorg/legendarium.svg)](https://travis-ci.org/scieloorg/legendarium)
        [![Code Health](https://landscape.io/github/scieloorg/legendarium/master/landscape.svg?style=flat)](https://landscape.io/github/scieloorg/legendarium/master)
        [![Updates](https://pyup.io/repos/github/scieloorg/legendarium/shield.svg)](https://pyup.io/repos/github/scieloorg/legendarium/)
        [![Python 3](https://pyup.io/repos/github/scieloorg/legendarium/python-3-shield.svg)](https://pyup.io/repos/github/scieloorg/legendarium/)
        
        See Build: https://travis-ci.org/scieloorg/legendarium
        
        
        Develop API Usage
        -----------------
        
        <pre>
        <code>
        >>>from legendarium import Legendarium
        >>>leg_dict = {'acron_title': 'Rev.Mal-Estar Subj', 'year_pub': '2011', 'volume': '67', 'number': '9', 'fpage': '154', 'lpage':'200', 'article_id':'e00120416'}
        >>>leg = Legendarium(**leg_dict)
        >>>leg.stamp
        >>>Rev.Mal-Estar Subj 2011;67(9):154-200
        </code>
        </pre>
        
        
        For develop version
        ===================
        
        `pip install -e git+git@github.com:scieloorg/legendarium#egg=legendarium`
        
Keywords: legendarium
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
