How does Dask help the map function in faster execution?

How does Dask help the map function in faster execution

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Recipe Objective.

How does Dask help the map function in faster execution.

Dask has the capabilty that it will modify efficient parallel computations on single machines by investing their multi-core CPUs and streaming information with efficiency from disk. Dask will run on a distributed cluster.It permits the user to exchange clusters with a single-machine computer hardware which might bring down the overhead

Now we've to find out however the mapping works in Dask Functions.

``` df['new_col']=df['col2].map_parttion(some_func) ```

Mapping in dask is done for bigger and longer dataframes for effective usage.

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