{ "info": { "author": "Sean Kennedy", "author_email": "", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "========\nNanStats\n========\n\n-------\nWelcome\n-------\n\nWelcome to NanStats; a Python adapter for the Nanigans Reporting API. \n\n------------\nProject Goal\n------------\n\nThe target audience for this package are data teams or developers that need to interact with the Nanigans Reporting API. The adapter is designed to make requesting data simple and repeatable.\n\n----------------\nAcknowledgements\n----------------\n\nThis library is an adapted version of other request-response based interfaces (e.g. TwitterAds, Requests).", "description_content_type": null, "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/unique-influence-tech/nanigans-reporting-api", "keywords": "advertising,facebook,data", "license": "MIT", "maintainer": "", "maintainer_email": "", "name": "NanStats", "package_url": "https://pypi.org/project/NanStats/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/NanStats/", "project_urls": { "Homepage": "https://github.com/unique-influence-tech/nanigans-reporting-api" }, "release_url": "https://pypi.org/project/NanStats/0.0.1/", "requires_dist": [ "mock", "requests" ], "requires_python": "", "summary": "A Python adapter for the Nanigans Reporting API.", "version": "0.0.1" }, "last_serial": 2442597, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "a43e1e82425bffb463676ae3a4b4a8d3", "sha256": "2817780ead6740e2cd834a4ab197511ce72714dd09c8efadc8a61c607e3f9190" }, "downloads": -1, "filename": "NanStats-0.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "a43e1e82425bffb463676ae3a4b4a8d3", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 18215, "upload_time": "2016-11-04T15:12:35", "url": "https://files.pythonhosted.org/packages/1d/e2/ed00d353366a75bb49b5a96fcdae7372f17481bc9a79ca694ea399b2fd28/NanStats-0.0.1-py2.py3-none-any.whl" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a43e1e82425bffb463676ae3a4b4a8d3", "sha256": "2817780ead6740e2cd834a4ab197511ce72714dd09c8efadc8a61c607e3f9190" }, "downloads": -1, "filename": "NanStats-0.0.1-py2.py3-none-any.whl", "has_sig": false, "md5_digest": "a43e1e82425bffb463676ae3a4b4a8d3", "packagetype": "bdist_wheel", "python_version": "py2.py3", "requires_python": null, "size": 18215, "upload_time": "2016-11-04T15:12:35", "url": "https://files.pythonhosted.org/packages/1d/e2/ed00d353366a75bb49b5a96fcdae7372f17481bc9a79ca694ea399b2fd28/NanStats-0.0.1-py2.py3-none-any.whl" } ] }