Github user nchammas commented on a diff in the pull request: https://github.com/apache/spark/pull/15659#discussion_r85354868 --- Diff: python/README.md --- @@ -0,0 +1,32 @@ +# Apache Spark + +Spark is a fast and general cluster computing system for Big Data. It provides +high-level APIs in Scala, Java, Python, and R, and an optimized engine that +supports general computation graphs for data analysis. It also supports a +rich set of higher-level tools including Spark SQL for SQL and DataFrames, +MLlib for machine learning, GraphX for graph processing, +and Spark Streaming for stream processing. + +<http://spark.apache.org/> + +## Online Documentation + +You can find the latest Spark documentation, including a programming +guide, on the [project web page](http://spark.apache.org/documentation.html) + + +## Python Packaging + +This README file only contains basic information related to pip installed PySpark. +This packaging is currently experimental and may change in future versions (although we will do our best to keep compatibility). +Using PySpark requires the Spark JARs, and if you are building this from source please see the builder instructions at +["Building Spark"](http://spark.apache.org/docs/latest/building-spark.html). + +The Python packaging for Spark is not intended to replace all of the other use cases. This Python packaged version of Spark is suitable for interacting with an existing cluster (be it Spark standalone, YARN, or Mesos) - but does not contain the tools required to setup your own standalone Spark cluster. You can download the full version of Spark from the [Apache Spark downloads page](http://spark.apache.org/downloads.html). --- End diff -- If I am doing local development on my Mac, for example, what does pip installing Spark get me? It sounds like from this line that even if I pip install Spark, I will still need to separately `brew install apache-spark` or something to be able to run Spark programs. Is that correct? How does my workflow change or improve if I can pip install Spark?
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