from pyspark.sql import *

if __name__ == "__main__":

    spark = SparkSession.builder \
        .appName("hello Spark") \
        .master("local[2]") \
        .getOrCreate()

    data_list = [("Ravi",28),
                 ("David",45),
                 ("Abdul",37),
                ]

    df = spark.createDataFrame(data_list).toDF("Name","age")

    df.show()

error --->

D:\SparkPractice\venv\Scripts\python.exe D:\SparkPractice\practice.py
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Traceback (most recent call last):
File "D:\SparkPractice\practice.py", line 3, in <module>
spark = SparkSession.builder.master("local[1]").appName("Test").getOrCreate()
File "D:\SparkPractice\venv\Lib\site-packages\pyspark\sql\session.py", line 559, in getOrCreate
session = SparkSession(sc, options=self._options)
File "D:\SparkPractice\venv\Lib\site-packages\pyspark\sql\session.py", line 635, in __init__
jSparkSessionClass.getDefaultSession().isDefined()
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
TypeError: 'JavaPackage' object is not callable

Process finished with exit code 1