Its API is intended for data processing and analysis in multiple programming languages such as Java, Python and Scala. Scala is also ideal for low-level Spark programming and for easy navigation directly to the underlying source code. Scala offers a lot of advanced programming features, but you don't need to use any of them when writing Spark code. I'm working on a project called bebe that will hopefully provide the community with a secure, high-performance Scala programming interface.
Many organisations favour the speed and simplicity of Spark, which supports many application programming interfaces (APIs) available from languages such as Java, R, Python and Scala. You can use Scala's basic programming features with the IntelliJ IDE and get useful features such as type hints and compile-time checks for free. In summary, Scala is my first choice of programming language for Spark projects and I will consider Python when the use case fits. If you have enough experience with any statically typed programming language like Java, you can stop worrying about not using Scala at all.
Scala is a powerful programming language that offers developer-friendly features not available in Python. You will master the essential skills of the open source Apache Spark framework and the Scala programming language.