Address comments

Signed-off-by: Igoshev, Iaroslav <iaroslav.igoshev@intel.com>

Author: YarShev

docs/development/using_pandas_on_dask.rst

@@ -25,58 +25,45 @@ or turn them on in source code:
 Using Modin on Dask locally
 ---------------------------
 
-If you want to use a single node, just change the Modin Engine to Dask and 
-continue working with the Modin Dataframe as if it were a Pandas Dataframe.
-You don't even have to initialize the Dask Client, because Modin will do it 
-yourself or use the current one if it is already initialized:
+If you want to run Modin on Dask locally using a single node, just set Modin engine to ``Dask`` and 
+continue working with a Modin DataFrame as if it was a pandas DataFrame.
+You can either initialize a Dask client on your own and Modin connects to the existing Dask cluster or
+allow Modin itself to initialize a Dask client.
 
 .. code-block:: python
 
   import modin.pandas as pd
   import modin.config as modin_cfg
 
   modin_cfg.Engine.put("dask")
-  df = pd.read_parquet("s3://my-bucket/big.parquet")
+  df = pd.DataFrame(...)
 
-.. note:: In previous versions of Modin, you had to initialize Dask before importing Modin. As of Modin 0.9.0, This is no longer the case.
+Using Modin on Dask in a Cluster
+--------------------------------
 
-Using Modin on Dask Clusters
-----------------------------
-
-If you want to use clusters of many machines, you don't need to do any additional steps.
-Just initialize a Dask Client on your cluster and use Modin as you would on a single node.
-As long as Dask Client is initialized before any dataframes are created, Modin
-will be able to connect to and use the Dask Cluster.
+If you want to run Modin on Dask in a cluster, you should set up a Dask cluster and initialize a Dask client.
+Once the Dask client is initialized, Modin will be able to connect to it and use the Dask cluster.
 
 .. code-block:: python
 
   from distributed import Client
   import modin.pandas as pd
   import modin.config as modin_cfg
   
-  # Please define your cluster here
+  # Define your cluster here
   cluster = ...
   client = Client(cluster)
 
   modin_cfg.Engine.put("dask")
-  df = pd.read_parquet("s3://my-bucket/big.parquet")
-
-To get more ways to deploy and run Dask clusters, visit the `Deploying Dask Clusters page`_.
-
-How Modin uses Dask
--------------------
+  df = pd.DataFrame(...)
 
-Modin has a layered architecture, and the core abstraction for data manipulation
-is the Modin Dataframe, which implements a novel algebra that enables Modin to
-handle all of pandas (see Modin's documentation_ for more on the architecture).
-Modin's internal dataframe object has a scheduling layer that is able to partition
-and operate on data with Dask.
+To get more information on how to deploy and run a Dask cluster, visit the `Deploy Dask Clusters`_ page.
 
-Conversion to and from Modin from Dask Dataframe
-------------------------------------------------
+Conversion between Modin DataFrame and Dask DataFrame
+-----------------------------------------------------
 
-Modin DataFrame can be converted to/from Dask Dataframe with no-copy partition conversion.
-This allows you to take advantage of both Dask and Modin libraries for maximum performance.
+Modin DataFrame can be converted to/from Dask DataFrame with no-copy partition conversion.
+This allows you to take advantage of both Modin and Dask libraries for maximum performance.
 
 .. code-block:: python
 
@@ -85,13 +72,13 @@ This allows you to take advantage of both Dask and Modin libraries for maximum p
   from modin.pandas.io import to_dask, from_dask
 
   modin_cfg.Engine.put("dask")
-  df = pd.read_parquet("s3://my-bucket/big.parquet")
+  df = pd.DataFrame(...)
 
-  # Convert Modin to Dask Dataframe
+  # Convert Modin to Dask DataFrame
   dask_df = to_dask(df)
   
-  # Convert Dask to Modin Dataframe
+  # Convert Dask to Modin DataFrame
   modin_df = from_dask(dask_df)
 
-.. _Deploying Dask Clusters page: https://docs.dask.org/en/stable/deploying.html
+.. _Deploy Dask Clusters: https://docs.dask.org/en/stable/deploying.html
 .. _documentation: https://modin.readthedocs.io/en/latest/development/architecture.html