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Merge branch 'master' into asalikhov/new_build_system

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Ayaz Salikhov
2022-05-19 14:04:46 +03:00
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docs/using/specifics.md
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@@ -83,6 +83,12 @@ The following sections provide some examples of how to get started using them.
Spark **local mode** is useful for experimentation on small data when you do not have a Spark cluster available.
```{warning}
In these examples, Spark spawns all the main execution components in the same single JVM.
You can read additional info about local mode [here](https://books.japila.pl/apache-spark-internals/local/).
If you want to use all the CPU one of the simplest way is to setup a [Spark Standalone Cluster](https://spark.apache.org/docs/latest/spark-standalone.html).
```
##### Local Mode in Python
In a Python notebook.