title: Why does it take longer than using Pandas when I used modin.pandas [ray]
body: <p>I'm just a Python newbie who's had fun dealing with data with Python.</p>
  <p>When I was be able to use Python's representative data tool, Pandas, it seemed that it would be able to work on Excel very quickly.</p>
  <p>However, I was somewhat disappointed to see it take more than 1 to 2 minutes to retrieve data(.xlsx) with 470,000 rows, and as a result, I found out that using modin and ray (or dask) would enable faster operation.</p>
  <p>After learning how to use it simply as below, I compared it to using Pandas only. (this time, 100M rows data, about 5GB)</p>
  <pre><code>import ray
  ray.init()
  import modin.pandas as md
  
  %%time
  TB = md.read_csv('train.csv')
  TB
  </code></pre>
  <p>But it only took 1 minute and 3 seconds to write Pandas, but it took 1 minute and 9 seconds to write modin [ray].
  I was disappointed to see that it would take longer than just a small difference.</p>
  <p>How can I use modin faster than pandas? Complex operations such as groupby or merge? Is there little difference in simply reading data?</p>
  <p>Modin is faster to read data when other people are using it, is there something wrong with my computer's settings? I want to know why.</p>
  <p><a href="https://i.stack.imgur.com/jifrt.png" rel="nofollow noreferrer">enter image description here</a></p>
  <p>Write down the method installed at the prompt just in case you need it.</p>
  <pre><code>!pip install modin[ray]
  !pip install ray[default]
  </code></pre>