diff --git a/chapter2/py/src/mnmcount.py b/chapter2/py/src/mnmcount.py
index 35723bf..608dfe5 100644
--- a/chapter2/py/src/mnmcount.py
+++ b/chapter2/py/src/mnmcount.py
@@ -1,6 +1,7 @@
 from __future__ import print_function
 
 import sys
+import os
 
 from pyspark.sql import SparkSession
 
@@ -9,9 +10,16 @@
         print("Usage: mnmcount <file>", file=sys.stderr)
         sys.exit(-1)
 
+    # Set Java system properties to fix Java 23 compatibility issues
+    os.environ["PYSPARK_SUBMIT_ARGS"] = "--conf spark.driver.extraJavaOptions='-Djava.security.manager=allow' --conf spark.executor.extraJavaOptions='-Djava.security.manager=allow' pyspark-shell"
+
     spark = (SparkSession
         .builder
         .appName("PythonMnMCount")
+        .config("spark.driver.extraJavaOptions", "-Djava.security.manager=allow")
+        .config("spark.executor.extraJavaOptions", "-Djava.security.manager=allow")
+        .config("spark.sql.adaptive.enabled", "false")
+        .config("spark.sql.adaptive.coalescePartitions.enabled", "false")
         .getOrCreate())
     # get the M&M data set file name
     mnm_file = sys.argv[1]
@@ -42,4 +50,7 @@
 
     # show the resulting aggregation for California
     ca_count_mnm_df.show(n=10, truncate=False)
+    
+    # Stop the Spark session
+    spark.stop()
 
diff --git a/chapter3/py/src/Example-3_6.py b/chapter3/py/src/Example-3_6.py
index 1fe07f5..c86f236 100644
--- a/chapter3/py/src/Example-3_6.py
+++ b/chapter3/py/src/Example-3_6.py
@@ -1,6 +1,10 @@
 from pyspark.sql.types import *
 from pyspark.sql import SparkSession
 from pyspark.sql.functions import *
+import os
+
+# Set Java system properties to fix Java 23 compatibility issues
+os.environ["PYSPARK_SUBMIT_ARGS"] = "--conf spark.driver.extraJavaOptions='-Djava.security.manager=allow' --conf spark.executor.extraJavaOptions='-Djava.security.manager=allow' pyspark-shell"
 
 # define schema for our data
 schema = StructType([
@@ -26,6 +30,10 @@
    spark = (SparkSession
        .builder
        .appName("Example-3_6")
+       .config("spark.driver.extraJavaOptions", "-Djava.security.manager=allow")
+       .config("spark.executor.extraJavaOptions", "-Djava.security.manager=allow")
+       .config("spark.sql.adaptive.enabled", "false")
+       .config("spark.sql.adaptive.coalescePartitions.enabled", "false")
        .getOrCreate())
    # create a DataFrame using the schema defined above
    blogs_df = spark.createDataFrame(data, schema)
@@ -40,4 +48,7 @@
    blogs_df.select(expr("Hits * 2")).show(2)
    # show heavy hitters
    blogs_df.withColumn("Big Hitters", (expr("Hits > 10000"))).show()
-   print(blogs_df.schema)
\ No newline at end of file
+   print(blogs_df.schema)
+   
+   # Stop the Spark session
+   spark.stop()
\ No newline at end of file