SparkContext acts as the entry point to any spark functionality. When the Spark application runs, it starts the driver program, and the main function and SparkContext get initiated. After that, the driver program runs the operations inside the executors on worker nodes. In PySpark, SparkContext is known as PySpark SparkContext. It uses Py4J (library) to launch a JVM and then creates a JavaSparkContext. The PySpark's SparkContext is by default available as 'sc', so it doesn't mean creating a new SparkContext.
