Anaconda Enterprise: Documentation

# Delayed

Sometimes problems don’t fit into one of the collections like `dask.array` or `dask.dataframe`. In these cases, users can parallelize custom algorithms using the simpler `dask.delayed` interface. This allows one to create graphs directly with a light annotation of normal python code.

    >>> x = dask.delayed(inc)(1)
    >>> y = dask.delayed(inc)(2)
    >>> z = dask.delayed(add)(x, y)
    >>> z.compute()
    7
    >>> z.vizualize()

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