title: Reading huge sas dataset in python
body: <p>I have a 50 gb SAS dataset. I want to read it in pandas dataframe. What is the best way to fast read the sas dataset.</p>
  
  <p>I used the below code which is way too slow:</p>
  
  <pre><code>import pandas as pd
  df = pd.read_sas("xxxx.sas7bdat", chunksize = 10000000)
  dfs = []
  for chunk in df:
      dfs.append(chunk)
  df_final = pd.concat(dfs)
  </code></pre>
  
  <p>Is there any way faster way to read large dataset in python? Can run this process parallely?</p>