You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2020/09/03 06:21:00 UTC
[jira] [Updated] (SPARK-32189) Development - Setting up PyCharm
[ https://issues.apache.org/jira/browse/SPARK-32189?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-32189:
---------------------------------
Description:
PyCharm is probably one of the most widely used IDE for Python development. We should document a standard way so users can easily set up.
Very rough example: https://hyukjin-spark.readthedocs.io/en/latest/development/developer-tools.html#setup-pycharm-with-pyspark but it should be more in details.
was:
1. Testing PySpark
Basically https://spark.apache.org/developer-tools.html; however, we should write down in more details Python specficially. For example, SBT build, maven build, etc.
2. Setup PyCharm with PySpark
PyCharm is probably one of the most widely used IDE for Python developement. We should document a standard way so users can easily set up.
Very rough example: https://hyukjin-spark.readthedocs.io/en/latest/development/developer-tools.html#setup-pycharm-with-pyspark but it should be more in details.
> Development - Setting up PyCharm
> --------------------------------
>
> Key: SPARK-32189
> URL: https://issues.apache.org/jira/browse/SPARK-32189
> Project: Spark
> Issue Type: Sub-task
> Components: Documentation, PySpark
> Affects Versions: 3.1.0
> Reporter: Hyukjin Kwon
> Priority: Major
>
> PyCharm is probably one of the most widely used IDE for Python development. We should document a standard way so users can easily set up.
> Very rough example: https://hyukjin-spark.readthedocs.io/en/latest/development/developer-tools.html#setup-pycharm-with-pyspark but it should be more in details.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org