The python API for amie
Project description
amieci
The python client for amie.ai.
Install with
pip install amieci
Documentation
A tutorial notebook to get you started is here.
More notebooks that show you how to integrate amie in your measurement and data-science workflows here.
Installation
Sign up (free) on www.amie.ai and obtain an API key after you're logged in under www.amie.ai/#/user
Then sign in from python, and load the garden.
garden = amieci.Garden(key=your_key)
garden.load()
...
The fundamental object in amie is the garden. It contains all trees and leaves and remembers how your data interconnects.
Every 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, but also their relationships, to make sure your workflow is fully reproducible and make it easy for you to keep an overview. amie works with any data-driven task, from data-science to beer brewing.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file amieci-0.0.8.tar.gz
.
File metadata
- Download URL: amieci-0.0.8.tar.gz
- Upload date:
- Size: 16.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | df8e09a86c32aff4400955deefb86eca4139da19deefcd2139e4d0e32c64b0eb |
|
MD5 | 5b7f34e903e66dce816ccab5f1a3f204 |
|
BLAKE2b-256 | ff67c63bebbf6558dade436c7d3219e73f6bcce075fb023e35ffff3c824af26f |
File details
Details for the file amieci-0.0.8-py3-none-any.whl
.
File metadata
- Download URL: amieci-0.0.8-py3-none-any.whl
- Upload date:
- Size: 24.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.21.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.5.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ff568683538e5323449232c75cb562fc53c9753411aac3a1b154bae383207918 |
|
MD5 | cc61565fb6f12cd5f1e5aaa52f3a5c1a |
|
BLAKE2b-256 | e02017a54b96806da38ee2de767890a78a06b6d9d005047722f8c7f4a62af1f9 |