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DOCS-#2436: Explicit local / single node backend #2483

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2 changes: 2 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -131,6 +131,8 @@ import numpy as np
frame_data = np.random.randint(0, 100, size=(2**10, 2**8))
df = pd.DataFrame(frame_data)
```
**In local (without a cluster) modin will create and manage a local (dask or ray) cluster for the execution**


To use Modin, you do not need to know how many cores your system has and you do not need
to specify how to distribute the data. In fact, you can continue using your previous
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2 changes: 2 additions & 0 deletions docs/using_modin.rst
Original file line number Diff line number Diff line change
Expand Up @@ -21,6 +21,8 @@ functional parity with pandas.
Using Modin on a Single Node
----------------------------

**In local (without a cluster) modin will create and manage a local (dask or ray) cluster for the execution**

In order to use the most up-to-date version of Modin, please follow the instructions on
the `installation page`_

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