title: Can dask parralelize reading fom a csv file?
body: <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>