docker compose up -d- after running container for first time notebooks should be available in
workvolumen created inall_spark_notebook - noetebook will be running on localhost:8888
from pyspark.sql import SparkSession
spark = SparkSession.builder.appName("SparkExample").getOrCreate()
data = [("Alice", 34), ("Bob", 45), ("Cathy", 29)]
columns = ["Name", "Age"]
df = spark.createDataFrame(data, columns)
df.show()