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| author | Josh Rosen <joshrosen@eecs.berkeley.edu> | 2013-01-01 13:52:14 -0800 |
|---|---|---|
| committer | Josh Rosen <joshrosen@eecs.berkeley.edu> | 2013-01-01 13:52:14 -0800 |
| commit | 170e451fbdd308ae77065bd9c0f2bd278abf0cb7 (patch) | |
| tree | da3df59e2262dac4b381227d5bc712502249d746 /docs/index.md | |
| parent | 6f6a6b79c4c3f3555f8ff427c91e714d02afe8fa (diff) | |
| download | spark-170e451fbdd308ae77065bd9c0f2bd278abf0cb7.tar.gz spark-170e451fbdd308ae77065bd9c0f2bd278abf0cb7.tar.bz2 spark-170e451fbdd308ae77065bd9c0f2bd278abf0cb7.zip | |
Minor documentation and style fixes for PySpark.
Diffstat (limited to 'docs/index.md')
| -rw-r--r-- | docs/index.md | 8 |
1 files changed, 6 insertions, 2 deletions
diff --git a/docs/index.md b/docs/index.md index 33ab58a962..848b585333 100644 --- a/docs/index.md +++ b/docs/index.md @@ -8,7 +8,7 @@ TODO(andyk): Rewrite to make the Java API a first class part of the story. {% endcomment %} 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, Java, and Python, with a rich array of parallel operators. +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"). @@ -61,6 +61,11 @@ of `project/SparkBuild.scala`, then rebuilding Spark (`sbt/sbt clean compile`). * [Java Programming Guide](java-programming-guide.html): using Spark from Java * [Python Programming Guide](python-programming-guide.html): using Spark from Python +**API Docs:** + +* [Java/Scala (Scaladoc)](api/core/index.html) +* [Python (Epydoc)](api/pyspark/index.html) + **Deployment guides:** * [Running Spark on Amazon EC2](ec2-scripts.html): scripts that let you launch a cluster on EC2 in about 5 minutes @@ -73,7 +78,6 @@ 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: [Java/Scala (Scaladoc)](api/core/index.html) and [Python (Epydoc)](api/pyspark/index.html) * [Bagel](bagel-programming-guide.html): an implementation of Google's Pregel on Spark * [Contributing to Spark](contributing-to-spark.html) |