Metadata-Version: 1.1
Name: grokpy
Version: 0.2.3
Summary: Python client for Grok Prediction Service
Home-page: http://github.com/numenta/grok-py
Author: Ian Danforth
Author-email: idanforth@numenta.com
License: MIT
Download-URL: http://cloud.github.com/downloads/numenta/grok-py/grokpy-0.2.3.tar.gz
Description: # grok-py
        
        The Python client library for the Grok Prediction Service
        
        A note about releases:
        
        Development of Grok client libraries happens internally and
        is then released to github master at the same time as we
        release server side code. Github master branch can thus
        be considered STABLE.
        
        ## Installation
        
        From source (includes sample app):
        
        Click the 'Downloads' link
        Click either 'Download as zip' or 'Download as tar.gz'
        Unpack into a directory of your choice
        
            $ sudo python setup.py install
        
        From pip:
        
            $ sudo pip install grokpy
        
        Dependency (For HTTPS):
        
            $ sudo pip install certifi
        
        ## Run the Sample App
        
        Add your API key to the app
        
         * Open HelloGrok.py in your favorite editor
         * Insert your API_KEY where it says "YOUR_API_KEY"
        
        OR add your API key to your environment
        
        From the command line:
        
            $ echo "export GROK_API_KEY=YOUR_API_KEY" >> ~/.bashrc
            $ source ~/.bashrc
        
        Launch the app
        
            $ python HelloGrok.py
        
Keywords: numenta,prediction
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Requires: certifi
