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| -rw-r--r-- | docs/quick-start.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/quick-start.md b/docs/quick-start.md index de304cdaff..216f7c9cc5 100644 --- a/docs/quick-start.md +++ b/docs/quick-start.md @@ -265,7 +265,7 @@ print "Lines with a: %i, lines with b: %i" % (numAs, numBs) This job simply counts the number of lines containing 'a' and the number containing 'b' in a system log file. Like in the Scala and Java examples, we use a SparkContext to create RDDs. We can pass Python functions to Spark, which are automatically serialized along with any variables that they reference. -For jobs that use custom classes or third-party libraries, we can add those code dependencies to SparkContext to ensure that they will be available on remote machines; this is described in more detail in the [Python programming guide](python-programming-guide). +For jobs that use custom classes or third-party libraries, we can add those code dependencies to SparkContext to ensure that they will be available on remote machines; this is described in more detail in the [Python programming guide](python-programming-guide.html). `SimpleJob` is simple enough that we do not need to specify any code dependencies. We can run this job using the `pyspark` script: |