You can do this using Spark's Python API, PySpark. Here's a step-by-step guide on how to create a word count program:

• In your Python script, start by importing the necessary Spark modules:

from pyspark import SparkContext

• Initialize a SparkContext to use Spark. This context is used to configure various Spark settings:

sc = SparkContext("local", "WordCountApp")

• "local" indicates that you are running Spark in local mode.
• "WordCountApp" is the application name.
• You can read input data from a text file using Spark's "textFile" method:

input_file = "input.txt"
text_data = sc.textFile(input_file)

Make sure to replace "input.txt" with the path to your input text file.

• Perform the word count by tokenizing the lines and counting the words:

word_counts = text_data.flatMap(lambda line: line.split(" ")) \
                  .map(lambda word: (word, 1)) \
                  .reduceByKey(lambda a, b: a + b)

• flatMap splits each line into words.
• map converts each word into a key-value pair with a count of 1.
• reduceByKey combines counts for the same word.
• You can save the word count result to a text file or perform further operations as needed. To save the result to a text file:

output_file = "word_count_result"
word_counts.saveAsTextFile(output_file)

• Finally, stop the SparkContext when you're done with Spark operations:

sc.stop()

Finally, run the script with:

spark-submit word_count.py