I am trying to install Pyspark on my laptop and went through all the steps as per
https://medium.com/@deepaksrawat1906/a-step-by-step-guide-to-installing-pyspark-on-windows-3589f0139a30

https://phoenixnap.com/kb/install-spark-on-windows-10

When I go to set up my spark session:

from pyspark.sql import SparkSession

spark = SparkSession.builder.master("local").appName("PySpark Installation 
Test").getOrCreate()
df = spark.createDataFrame([(1, "Hello"), (2, "World")], ["id", "message"])
df.show()

I get this error message:

---------------------------------------------------------------------------
Py4JJavaError                             Traceback (most recent call last)
Cell In[3], line 6
      1 from pyspark.sql import SparkSession
      3 spark = SparkSession.builder 
      4     .master("local[*]") 
      5     .appName("YourAppName") 
----> 6     .getOrCreate()

File C:sparkspark-3.4.3-bin-hadoop3pythonpysparksqlsession.py:477, in SparkSession.Builder.getOrCreate(self)
    475     sparkConf.set(key, value)
    476 # This SparkContext may be an existing one.
--> 477 sc = SparkContext.getOrCreate(sparkConf)
    478 # Do not update `SparkConf` for existing `SparkContext`, as it's shared
    479 # by all sessions.
    480 session = SparkSession(sc, options=self._options)

File C:sparkspark-3.4.3-bin-hadoop3pythonpysparkcontext.py:512, in SparkContext.getOrCreate(cls, conf)
    510 with SparkContext._lock:
    511     if SparkContext._active_spark_context is None:
--> 512         SparkContext(conf=conf or SparkConf())
    513     assert SparkContext._active_spark_context is not None
    514     return SparkContext._active_spark_context

File C:sparkspark-3.4.3-bin-hadoop3pythonpysparkcontext.py:200, in SparkContext.__init__(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, gateway, jsc, profiler_cls, udf_profiler_cls, memory_profiler_cls)
    198 SparkContext._ensure_initialized(self, gateway=gateway, conf=conf)
    199 try:
--> 200     self._do_init(
    201         master,
    202         appName,
    203         sparkHome,
    204         pyFiles,
    205         environment,
    206         batchSize,
    207         serializer,
    208         conf,
    209         jsc,
    210         profiler_cls,
    211         udf_profiler_cls,
    212         memory_profiler_cls,
    213     )
    214 except BaseException:
    215     # If an error occurs, clean up in order to allow future SparkContext creation:
    216     self.stop()

File C:sparkspark-3.4.3-bin-hadoop3pythonpysparkcontext.py:287, in SparkContext._do_init(self, master, appName, sparkHome, pyFiles, environment, batchSize, serializer, conf, jsc, profiler_cls, udf_profiler_cls, memory_profiler_cls)
    284 self.environment["PYTHONHASHSEED"] = os.environ.get("PYTHONHASHSEED", "0")
    286 # Create the Java SparkContext through Py4J
--> 287 self._jsc = jsc or self._initialize_context(self._conf._jconf)
    288 # Reset the SparkConf to the one actually used by the SparkContext in JVM.
    289 self._conf = SparkConf(_jconf=self._jsc.sc().conf())

File C:sparkspark-3.4.3-bin-hadoop3pythonpysparkcontext.py:417, in SparkContext._initialize_context(self, jconf)
    413 """
    414 Initialize SparkContext in function to allow subclass specific initialization
    415 """
    416 assert self._jvm is not None
--> 417 return self._jvm.JavaSparkContext(jconf)

File C:sparkspark-3.4.3-bin-hadoop3pythonlibpy4j-0.10.9.7-src.zippy4jjava_gateway.py:1587, in JavaClass.__call__(self, *args)
   1581 command = proto.CONSTRUCTOR_COMMAND_NAME +
   1582     self._command_header +
   1583     args_command +
   1584     proto.END_COMMAND_PART
   1586 answer = self._gateway_client.send_command(command)
-> 1587 return_value = get_return_value(
   1588     answer, self._gateway_client, None, self._fqn)
   1590 for temp_arg in temp_args:
   1591     if hasattr(temp_arg, "_detach"):

File C:sparkspark-3.4.3-bin-hadoop3pythonlibpy4j-0.10.9.7-src.zippy4jprotocol.py:326, in get_return_value(answer, gateway_client, target_id, name)
    324 value = OUTPUT_CONVERTER[type](answer[2:], gateway_client)
    325 if answer[1] == REFERENCE_TYPE:
--> 326     raise Py4JJavaError(
    327         "An error occurred while calling {0}{1}{2}.n".
    328         format(target_id, ".", name), value)
    329 else:
    330     raise Py4JError(
    331         "An error occurred while calling {0}{1}{2}. Trace:n{3}n".
    332         format(target_id, ".", name, value))

Py4JJavaError: An error occurred while calling None.org.apache.spark.api.java.JavaSparkContext.
: java.lang.ExceptionInInitializerError
    at org.apache.spark.unsafe.array.ByteArrayMethods.<clinit>(ByteArrayMethods.java:52)
    at org.apache.spark.memory.MemoryManager.defaultPageSizeBytes$lzycompute(MemoryManager.scala:261)
    at org.apache.spark.memory.MemoryManager.defaultPageSizeBytes(MemoryManager.scala:251)
    at org.apache.spark.memory.MemoryManager.$anonfun$pageSizeBytes$1(MemoryManager.scala:270)
    at scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.java:23)
    at scala.Option.getOrElse(Option.scala:189)
    at org.apache.spark.memory.MemoryManager.<init>(MemoryManager.scala:270)
    at org.apache.spark.memory.UnifiedMemoryManager.<init>(UnifiedMemoryManager.scala:58)
    at org.apache.spark.memory.UnifiedMemoryManager$.apply(UnifiedMemoryManager.scala:207)
    at org.apache.spark.SparkEnv$.create(SparkEnv.scala:325)
    at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:196)
    at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:279)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:464)
    at org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:58)
    at 

java.base/jdk.internal.reflect.DirectConstructorHandleAccessor.newInstance(DirectConstructorHandleAccessor.java:62)
at java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:502)
at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:486)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:247)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:374)
at py4j.Gateway.invoke(Gateway.java:238)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:182)
at py4j.ClientServerConnection.run(ClientServerConnection.java:106)
at java.base/java.lang.Thread.run(Thread.java:1570)
Caused by: java.lang.IllegalStateException: java.lang.NoSuchMethodException:
java.nio.DirectByteBuffer.(long,int)
at org.apache.spark.unsafe.Platform.(Platform.java:113)
… 25 more
Caused by: java.lang.NoSuchMethodException: java.nio.DirectByteBuffer.(long,int)
at java.base/java.lang.Class.getConstructor0(Class.java:3784)
at java.base/java.lang.Class.getDeclaredConstructor(Class.java:2955)
at org.apache.spark.unsafe.Platform.(Platform.java:71)
… 25 more

Can anyone help me with this? Thanks