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@@ -7,11 +7,11 @@ title: Spark Overview
TODO(andyk): Rewrite to make the Java API a first class part of the story.
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-Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an
-interpreter. It provides clean, language-integrated APIs in Scala and Java, with a rich array of parallel operators. Spark can
-run on top of the [Apache Mesos](http://incubator.apache.org/mesos/) cluster manager,
+Spark is a MapReduce-like cluster computing framework designed for low-latency iterative jobs and interactive use from an interpreter.
+It provides clean, language-integrated APIs in [Scala](scala-programming-guide.html), [Java](java-programming-guide.html), and [Python](python-programming-guide.html), with a rich array of parallel operators.
+Spark can run on top of the [Apache Mesos](http://incubator.apache.org/mesos/) cluster manager,
[Hadoop YARN](http://hadoop.apache.org/docs/r2.0.1-alpha/hadoop-yarn/hadoop-yarn-site/YARN.html),
-Amazon EC2, or without an independent resource manager ("standalone mode").
+Amazon EC2, or without an independent resource manager ("standalone mode").
# Downloading
@@ -58,7 +58,15 @@ of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`).
* [Quick Start](quick-start.html): a quick introduction to the Spark API; start here!
* [Spark Programming Guide](scala-programming-guide.html): an overview of Spark concepts, and details on the Scala API
+* [Streaming Programming Guide](streaming-programming-guide.html): an API preview of Spark Streaming
* [Java Programming Guide](java-programming-guide.html): using Spark from Java
+* [Python Programming Guide](python-programming-guide.html): using Spark from Python
+
+**API Docs:**
+
+* [Spark Java/Scala (Scaladoc)](api/core/index.html)
+* [Spark Python (Epydoc)](api/pyspark/index.html)
+* [Spark Streaming Java/Scala (Scaladoc)](api/streaming/index.html)
**Deployment guides:**
@@ -72,7 +80,6 @@ of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`).
* [Configuration](configuration.html): customize Spark via its configuration system
* [Tuning Guide](tuning.html): best practices to optimize performance and memory use
-* [API Docs (Scaladoc)](api/core/index.html)
* [Bagel](bagel-programming-guide.html): an implementation of Google's Pregel on Spark
* [Contributing to Spark](contributing-to-spark.html)