This Python code uses Spark to count the word frequencies in a text file stored in HDFS. It creates a SparkContext configured with the application name. It then loads the text file from HDFS, splits it into words, maps each word to a (word, 1) tuple, reduces by key to get counts, and saves the results back to HDFS.