If you have experience and interest in Python then PySpark is a good area to look into.
Yes, adding things like tests & documentation is a good starting point. Start out relatively small and go from there. Adding new wrappers to python for ML is useful for slightly larger tasks. On Mon, 20 Mar 2017 at 02:39, Sam Elamin <hussam.ela...@gmail.com> wrote: > Hi All, > > I would like to start contributing to Spark if possible, its an amazing > technology and I would love to get involved > > > The contributing page <http://spark.apache.org/contributing.html> states > this "consult the list of starter tasks in JIRA, or ask the > user@spark.apache.org mailing list." > > > Can anyone guide me on where is best to start? What are these "starter > tasks"? > > I was thinking adding tests would be a good place to begin when dealing > with any new code base, perhaps to Pyspark since Scala seems a bit more > stable > > > Also - if at all possible - I would really appreciate if any of the > contributors or PMC members would be willing to mentor or guide me in this. > Any help would be greatly appreciated! > > > Regards > Sam > > >
