Get S3 Data Process using Pyspark in Pycharm 

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In this video I am explaining how to get data from S3, process data using Pyspark in Pycharm explaining in this video.
You must have AWS knowledge to do it hands-on.
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D:\bigdata\hadoop-3.2.2\share\hadoop\tools\lib\hadoop-aws-3.2.2.jar
code
..,.........
from pyspark.sql import *
from pyspark.sql.functions import *
spark = SparkSession.builder.master("local").appName("test").getOrCreate()
Access_key_ID="KKIA2FDNHA"
Secret_access_key="HhymrUkLCwWpu0SqO3/FDwwmw/0eB"
Enable hadoop s3a settings
spark.sparkContext._jsc.hadoopConfiguration().set("com.amazonaws.services.s3.enableV4", "true")
spark.sparkContext._jsc.hadoopConfiguration().set("fs.s3a.impl", "org.apache.hadoop.fs.s3a.S3AFileSystem")
spark.sparkContext._jsc.hadoopConfiguration().set("fs.s3a.aws.credentials.provider", \
"com.amazonaws.auth.InstanceProfileCredentialsProvider,com.amazonaws.auth.DefaultAWSCredentialsProviderChain")
spark.sparkContext._jsc.hadoopConfiguration().set("fs.AbstractFileSystem.s3a.impl", "org.apache.hadoop.fs.s3a.S3A")
spark.sparkContext._jsc.hadoopConfiguration().set("fs.s3a.access.key",Access_key_ID)
spark.sparkContext._jsc.hadoopConfiguration().set("fs.s3a.secret.key",Secret_access_key)
spark.sparkContext._jsc.hadoopConfiguration().set("fs.s3a.endpoint", "s3.ap-south-1.amazonaws.com")
data="s3a://s3databucket/input/us-500.csv"
df=spark.read.format('csv').option("header","true").option("inferSchema","true").load(data)
df.show()