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authorJosh Rosen <joshrosen@eecs.berkeley.edu>2013-01-01 13:52:14 -0800
committerJosh Rosen <joshrosen@eecs.berkeley.edu>2013-01-01 13:52:14 -0800
commit170e451fbdd308ae77065bd9c0f2bd278abf0cb7 (patch)
treeda3df59e2262dac4b381227d5bc712502249d746 /docs/python-programming-guide.md
parent6f6a6b79c4c3f3555f8ff427c91e714d02afe8fa (diff)
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Minor documentation and style fixes for PySpark.
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1 files changed, 1 insertions, 2 deletions
diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index b7c747f905..d88d4eb42d 100644
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@@ -17,8 +17,7 @@ There are a few key differences between the Python and Scala APIs:
* Python is dynamically typed, so RDDs can hold objects of different types.
* PySpark does not currently support the following Spark features:
- Accumulators
- - Special functions on RRDs of doubles, such as `mean` and `stdev`
- - Approximate jobs / functions, such as `countApprox` and `sumApprox`.
+ - Special functions on RDDs of doubles, such as `mean` and `stdev`
- `lookup`
- `mapPartitionsWithSplit`
- `persist` at storage levels other than `MEMORY_ONLY`