Merge remote-tracking branch 'upstream/master' into sparsesvd

1 files changed, 8 insertions, 7 deletions

diff --git a/docs/python-programming-guide.md b/docs/python-programming-guide.md
index 55e39b1de1..96f93e24fe 100644
--- a/docs/python-programming-guide.md
+++ b/docs/python-programming-guide.md
@@ -131,15 +131,16 @@ sc = SparkContext("local", "App Name", pyFiles=['MyFile.py', 'lib.zip', 'app.egg
 Files listed here will be added to the `PYTHONPATH` and shipped to remote worker machines.
 Code dependencies can be added to an existing SparkContext using its `addPyFile()` method.
 
-You can set [system properties](configuration.html#system-properties)
-using `SparkContext.setSystemProperty()` class method *before*
-instantiating SparkContext. For example, to set the amount of memory
-per executor process:
+You can set [configuration properties](configuration.html#spark-properties) by passing a
+[SparkConf](api/pyspark/pyspark.conf.SparkConf-class.html) object to SparkContext:
 
 {% highlight python %}
-from pyspark import SparkContext
-SparkContext.setSystemProperty('spark.executor.memory', '2g')
-sc = SparkContext("local", "App Name")
+from pyspark import SparkConf, SparkContext
+conf = (SparkConf()
+         .setMaster("local")
+         .setAppName("My app")
+         .set("spark.executor.memory", "1g"))
+sc = SparkContext(conf = conf)
 {% endhighlight %}
 
 # API Docs