HyukjinKwon commented on a change in pull request #34134:
URL: https://github.com/apache/spark/pull/34134#discussion_r718110005
##########
File path: docs/rdd-programming-guide.md
##########
@@ -241,12 +241,12 @@ For a complete list of options, run `spark-shell --help`.
Behind the scenes,
In the PySpark shell, a special interpreter-aware SparkContext is already
created for you, in the
variable called `sc`. Making your own SparkContext will not work. You can set
which master the
context connects to using the `--master` argument, and you can add Python
.zip, .egg or .py files
-to the runtime path by passing a comma-separated list to `--py-files`. You can
also add dependencies
+to the runtime path by passing a comma-separated list to `--py-files`. For
thrid-party Python dependencies,
Review comment:
```suggestion
to the runtime path by passing a comma-separated list to `--py-files`. For
third-party Python dependencies,
```
##########
File path: docs/submitting-applications.md
##########
@@ -35,7 +35,8 @@ script as shown here while passing your jar.
For Python, you can use the `--py-files` argument of `spark-submit` to add
`.py`, `.zip` or `.egg`
files to be distributed with your application. If you depend on multiple
Python files we recommend
-packaging them into a `.zip` or `.egg`.
+packaging them into a `.zip` or `.egg`. For thrid-party Python dependencies,
Review comment:
```suggestion
packaging them into a `.zip` or `.egg`. For third-party Python dependencies,
```
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