Anaconda Enterprise: Documentation

# Read JSON records from disk

We commonly use `dask.bag` to process unstructured or semi-structured data:

    >>> import dask.bag as db
    >>> import json
    >>> js = db.read_text('logs/2015-*.json.gz').map(json.loads)
    >>> js.take(2)
    ({'name': 'Alice', 'location': {'city': 'LA', 'state': 'CA'}},
     {'name': 'Bob', 'location': {'city': 'NYC', 'state': 'NY'})

    >>> result = js.pluck('name').frequencies()  # just another Bag
    >>> dict(result)                             # Evaluate Result
    {'Alice': 10000, 'Bob': 5555, 'Charlie': ...}