To support Spark with python, the Apache Spark community released PySpark. It compiles the program code into bytecode for the JVM for spark big data processing. Integrating Python with Spark was a major gift to the community. Spark was developed in Scala language, which is very much similar to Java. Because of its rich library set, Python is used by the majority of Data Scientists and Analytics experts today. With an average salary of $110,000 pa for an Apache Spark Developer, there’s no doubt that Spark is used in the industry a lot. So, why not use them together? This is where Spark with Python also known as PySpark comes into the picture. Apache Spark is one the most widely used framework when it comes to handling and working with Big Data AND Python is one of the most widely used programming languages for Data Analysis, Machine Learning and much more.
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