I just installed spark on my local computer and try to run some simple code to test if everything is good, but it keeps showing me: Python worker exited unexpectedly (crashed). this is the code I’m running:

from pyspark.rdd import RDD

def print_partitions(data):
    if isinstance(data, RDD):
        numPartitions = data.getNumPartitions()
        partitions = data.glom().collect()
    else:
        numPartitions = data.rdd.getNumPartitions()
        partitions = data.rdd.glom().collect()
    
    print(f"####### NUMBER OF PARTITIONS: {numPartitions}")
    for index, partition in enumerate(partitions):
        # show partition if it is not empty
        if len(partition) > 0:
            print(f"Partition {index}: {len(partition)} records")
            print(partition)

list_tutors = [(1,'Aaditya'),(2,'Chinnavit'),(3,'Neha'),(4,'Huashun'),(5,'Mohammad'),
                (10,'Peter'),(11,'Paras'),(12, 'Tooba'),(3, 'David'),(18,'Cheng'),(9,'Haqqani')]

no_of_partitions = 4

rdd = sc.parallelize(list_tutors, no_of_partitions)

print("Number of partitions:{}".format(rdd.getNumPartitions()))
print("Partitioner:{}".format(rdd.partitioner))
print_partitions(rdd)