title: python fragmented data pandas , DASK
body: <p>what is the difference of using</p>
  
  <pre><code>//DASK
  b = db.from_sequence(_query,npartitions=2)
  df = b.to_dataframe()
  df = df.compute()  
  
  //PANDAS
  df = pd.DataFrame(_query)
  </code></pre>
  
  <p>I want to choose the best option to fragment large amounts of data and without losing performance</p>