Python vs Scala in Spark
PySpark Scala Nativity w.r.to spark API's provided, not for all features Spark is developed in Scala, things are more natural - de-facto interface Learning and use Comparatively easy to learn and use Complex to learn and easy to use Complexity Less compared to Scala More complex when compared to PySpark - lot of internal manipulations and conversions will happen Conciseness More of imperative styles More concise - fewer lines of code allows faster development, testing and deployment Performance Less compared to Scala - internal conversions are required 10 times faster than PySpark Effective for? smaller ad-hoc experiments for production and engineering applications Scalability Not much Scalable Refactoring not good, more bugs get...