Metadata-Version: 1.1
Name: nyt-docket
Version: 0.0.16
Summary: Python client for parsing SCOTUS cases from the granted/noted and orders dockets.
Home-page: https://github.com/newsdev/nyt-docket
Author: Jeremy Bowers
Author-email: jeremy.bowers@nytimes.com
License: Apache License 2.0
Description: .. figure:: https://cloud.githubusercontent.com/assets/109988/10271018/de09785a-6ad0-11e5-90d9-f50582d62824.png
           :alt: 
        
        Getting started
        ---------------
        
        ::
        
            pip install nyt-docket
        
        Using nyt-docket
        ----------------
        
        Command-line interface
        ~~~~~~~~~~~~~~~~~~~~~~
        
        ::
        
            docket grants 2015
            docket orders 2015
            docket opinions 2015
        
        Demo app
        ~~~~~~~~
        
        Run the demo app.
        
        ::
        
            python -m docket.demo
        
        Modules
        ~~~~~~~
        
        Use the docket loader manually from within your Python script.
        
        Grants (new cases)
        ^^^^^^^^^^^^^^^^^^
        
        Grants are cases that have been granted certiorari and will be heard by
        the Court in this term. The most interesting thing about a grant,
        besides its existence, is the question the Court will be deciding. This
        is associated as a separate PDF file on the Court's site but the parser
        attaches it to the case as a text blob.
        
        .. code:: python
        
            from docket import grants
        
            g = grants.Load()
            g.scrape()
        
            for case in g.cases:
                print case.__dict__
        
        Slip opinions (decisions)
        ^^^^^^^^^^^^^^^^^^^^^^^^^
        
        Slip opinions are decisions in cases the Court has either heard
        arguments on or has made a procedural decision on. These opinions are
        not final, but it's the fastest way to know when the Court has acted on
        a case. The most important feature of a slip opinion is the opinion
        text, which is a separate PDF file. This is associated with the opinion
        as a hyperlink.
        
        .. code:: python
        
            from docket import slipopinions
        
            o = slipopinions.Load()
            o.scrape()
        
            for case in o.cases:
                print case.__dict__
        
        Orders (all kinds of things)
        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
        
        Orders are the daily business of the Court. Denials of certiorari as
        well as various other procedural motions are resolved in the orders
        list. This plugin grabs the long orders list itself as a PDF link and
        then parses it out into individual cases. WARNING: The individual cases
        rely on regex and tomfoolery. The methods for parsing them are fragile,
        so YMMV.
        
        .. code:: python
        
            from docket import orders
        
            z = orders.Load()
            z.scrape()
            z.parse()
        
            for order in z.orders:
                print order.__dict__
        
            for case in z.cases:
                print "%s\t%s\t%s" % (case.docket, case.orders_type, case.casename)
        
Keywords: SCOTUS data parsing scraping legal law court
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
