Hello, I am currently taking a course in Apache Spark via EdX ( https://www.edx.org/course/introduction-big-data-apache-spark-uc-berkeleyx-cs100-1x) and at the same time I try to look at the code for pySpark too. I wanted to ask, if ideally I would like to contribute to pyspark specifically, how can I do that? I do not intend to contribute to core Apache Spark any time soon (mainly because I do not know Scala) but I am very comfortable in Python.
Any tips on how to contribute specifically to pyspark without being affected by other parts of Spark would be greatly appreciated. P.S.: I ask this because there is a small change/improvement I would like to propose. Also since I just started learning Spark, I would like to also read and understand the pyspark code as I learn about Spark. :) Hope to hear from you soon. Usman Ehtesham Gul https://github.com/ueg1990
