Metadata-Version: 2.1
Name: wolframalpha
Version: 4.1.0
Summary: Wolfram|Alpha 2.0 API client
Home-page: https://github.com/jaraco/wolframalpha
Author: Jason R. Coombs
Author-email: jaraco@jaraco.com
License: UNKNOWN
Description: .. image:: https://img.shields.io/pypi/v/wolframalpha.svg
           :target: `PyPI link`_
        
        .. image:: https://img.shields.io/pypi/pyversions/wolframalpha.svg
           :target: `PyPI link`_
        
        .. _PyPI link: https://pypi.org/project/wolframalpha
        
        .. image:: https://github.com/jaraco/wolframalpha/workflows/Automated%20Tests/badge.svg
           :target: https://github.com/jaraco/wolframalpha/actions?query=workflow%3A%22Automated+Tests%22
           :alt: Automated Tests
        
        .. image:: https://img.shields.io/badge/code%20style-black-000000.svg
           :target: https://github.com/psf/black
           :alt: Code style: Black
        
        .. image:: https://readthedocs.org/projects/wolframalpha/badge/?version=latest
           :target: https://wolframalpha.readthedocs.io/en/latest/?badge=latest
        
        Python Client built against the `Wolfram|Alpha <http://wolframalpha.com>`_
        v2.0 API.
        
        Usage
        =====
        
        Basic usage is pretty simple. Create the client with your App ID (request from
        Wolfram Alpha)::
        
            import wolframalpha
            app_id = 'ABC-123'  # get your own at https://products.wolframalpha.com/api/
            client = wolframalpha.Client(app_id)
        
        Then, you can send queries, which return Result objects::
        
            res = client.query('temperature in Washington, DC on October 3, 2012')
        
        Result objects have `pods` (a Pod is an answer group from Wolfram Alpha)::
        
            for pod in res.pods:
                do_something_with(pod)
        
        Pod objects have ``subpods`` (a Subpod is a specific response with the plaintext
        reply and some additional info)::
        
            for pod in res.pods:
                for sub in pod.subpods:
                    print(sub.plainText)
        
        You may also query for simply the pods which have 'Result' titles or are
        marked as 'primary' using ``Result.results``::
        
            print(next(res.results).plainText)
        
        All objects returned are dictionary subclasses, so to find out which attributes
        Wolfram|Alpha has supplied, simply invoke ``.keys()`` on the object.
        Attributes formed from XML attributes can be accessed with or without their
        "@" prefix (added by xmltodict).
        
        For more information, read the source.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Python: >=3.6
Provides-Extra: testing
Provides-Extra: docs
