Dat is a open data project designed to make data more accessible:

• Track incremental changes made in datasets
• Designed to work with big data
• streaming feature to provide faster access to datasets

Read the docs to learn more about Dat.

1. Clone Dat-Python repo git clone https://github.com/pkafei/Dat-Python

2. Create a dat using using dat init and to listen to your dat run dat listen

3. Import Dat from datPython import Dat and set dat to the connection that you are listening to dat = Dat('http://localhost:6462')

The GET API allows user to access dat data store and its attributes.

dat.info() returns info about dat instance

{"dat":"Hello","version":"6.8.4","changes":702,"name":"bionode","rows":701,"approximateSize":{"rows":"136.76 kB"}}

dat.diff() returns the rows that have been changed

{"change":1,"key":"schema","from":0,"to":1,"subset":"internal"}
{"change":2,"key":"ci1fj4cqd00004buy9jabbyz0","from":0,"to":1}
{"change":3,"key":"ci1fj4cqf00014buyoa2m4ad2","from":0,"to":1}
{"change":4,"key":"ci1fj4cqg00024buyfkbap6h2","from":0,"to":1}
{"change":5,"key":"ci1fj4cqg00034buysgolrtcr","from":0,"to":1}
{"change":6,"key":"ci1fj4cqg00044buyn9w7cc2n","from":0,"to":1}
{"change":7,"key":"ci1fj4cqi00054buyzmivu7j7","from":0,"to":1}
{"change":8,"key":"ci1fj4cqj00064buyvwbnvn3k","from":0,"to":1}

dat.rows() returns the dat data store

dat.csv() returns data store in csv format

dat.dict returns data store in dictionary format

Future Goals:

• Expand Python API
• Include examples
• Pandas I/O API

Copyright (c) 2014 Portia Burton and contributors All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

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