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| author | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:50:12 +0530 |
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| committer | Prashant Sharma <prashant.s@imaginea.com> | 2014-01-02 18:50:12 +0530 |
| commit | a3f90a2ecf14a01aa27fc95c133b1ff375583adb (patch) | |
| tree | f6a67730b423122b1172682f659ad3344193e6bf /docs/index.md | |
| parent | 94b7a7fe37a4b1459bfdbece2a4162451d6a8ac2 (diff) | |
| download | spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.tar.gz spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.tar.bz2 spark-a3f90a2ecf14a01aa27fc95c133b1ff375583adb.zip | |
pyspark -> bin/pyspark
Diffstat (limited to 'docs/index.md')
| -rw-r--r-- | docs/index.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/index.md b/docs/index.md index f0990fff73..86d574daaa 100644 --- a/docs/index.md +++ b/docs/index.md @@ -35,7 +35,7 @@ or `local` to run locally with one thread, or `local[N]` to run locally with N t `local` for testing. Finally, you can run Spark interactively through modified versions of the Scala shell (`./bin/spark-shell`) or -Python interpreter (`./pyspark`). These are a great way to learn the framework. +Python interpreter (`./bin/pyspark`). These are a great way to learn the framework. # Launching on a Cluster |