// boilerplate when writing python spark script
import sys

from pyspark import SparkContext, SparkConf

if __name__ == "__main__":

    conf = (SparkConf()
            .setAppName("The App")
            .setMaster("local)
            .set("spark.executor.memory", "1g"))
    sc = SparkContext(conf=conf)

// boilerplate is finished
// finally, there is some useful work to do

// usually, you want to use the arguments to run a script
// bur, remember that first argument will be the script itself
// sys.argv[0] = 'your_running_py_script.py'