How to explode array column into multiple rows | Convert array elements into rows in Spark dataframe

This pyspark - data engineering video tutorial clearly explains how to convert an array type column into separate rows. That means each element of a array column will explode and will be available as a single element on an individual row.
Pyspark explode example shows the syntax and implementation of the F.explode() in real world scenario explained amazingly using a movie based example.
Apart from this, I've used Google Colab notebook to run my code, which makes it even easier to run the code freely without any major installs. You can even implement and run the same pyspark explode code from your phone as well.
The above video covers various pyspark topics listed as follows:
» how to create a pyspark spark session
» how to create a dataframe in pyspark from list
» create arraytype schema column in pyspark df
» import explode to avoid explode is not defined in pyspark
» how to import explode function from pyspark.sql.functions in pyspark
» explode arraytype column elements into separate rows