Can dask parralelize reading fom a csv file?
<p>I'm converting a large textfile to a hdf storage in hopes of a faster data access. The conversion works allright, however reading from the csv file is not done in parallel. It is really slow (takes about 30min for a 1GB textfile on an SSD, so my guess is that it is not IO-bound). </p>

<p>Is there a way to have it read in multiple threads in parralel?
Sice it might be important, I'm currently forced to run under Windows -- just in case that makes any difference.</p>

<pre><code>from dask import dataframe as ddf
df = ddf.read_csv("data/Measurements*.csv",
             sep=';', 
             parse_dates=["DATETIME"], 
             blocksize=1000000,
             )

df.categorize([ 'Type',
                'Condition',               
          ])

df.to_hdf("data/data.hdf", "Measurements", 'w')
</code></pre>