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These changes will most likely break most code that relies on this library. Using generators is great and all, but if you want to query Wolfram Alpha for more complex information with more context this library needs to be able to do that and be expandable at the same time. There's a lot more to Wolfram Alpha and the Python API should be able to access that content in a uniform way. |
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docs | ||
wolframalpha | ||
.gitignore | ||
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CHANGES.rst | ||
conftest.py | ||
pytest.ini | ||
README.rst | ||
setup.cfg | ||
setup.py |
wolframalpha ============ Python Client built against the `Wolfram|Alpha <http://wolframalpha.com>`_ v2.0 API. This project is hosted on `Github <https://github.com/jaraco/wolframalpha>`_. Installation ============ This library is released to PyPI - the Python Package Index, so the easiest way to install it is to use pip:: pip install wolframalpha or easy_install:: easy_install wolframalpha If you don't have these tools or you prefer not to use setuptools, you may also simply extract the 'wolframalpha' directory an appropriate location in your Python path. Usage ===== Basic usage is pretty simple. Create the client with your App ID (request from Wolfram Alpha):: import wolframalpha 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: print(sub.text) You may also query for simply the pods which have 'Result' titles or are marked as 'primary':: print(res.results[0]) For more information, read the source.