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        "description": "# amieci\nThe python client for amie.ai.\n\nInstall with \n\n`pip install amieci`\n\n### Documentation\nA tutorial notebook to get you started is [here](https://github.com/disraptoer/resources/blob/master/tutorial.ipynb \"amieci tutorial notebook\").\n\nMore notebooks that show you how to integrate amie in your measurement and data-science workflows [here](https://github.com/disraptoer/resources \"amieci resources\").\n\n\n\n### Installation\n\nSign up (free) on www.amie.ai and obtain an API key after you're logged in under [www.amie.ai/#/user](\"www.amie.ai/#/user\")\n\nThen sign in from python, and load the garden. \n\n``` \ngarden = amieci.Garden(key=your_key)\ngarden.load()\n...\n```\nThe fundamental object in amie is the garden. It contains all trees and leaves and remembers how your data interconnects.\n\nEvery day, valuable data and results get lost and forgotten. amie provides you with an easy way to structure and store your results. It does not only store your data, \nbut also their relationships, to make sure your workflow is fully reproducible and make it easy for you to keep an overview. \namie works with any data-driven task, from data-science to beer brewing.\n\n\n\n",
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