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Ironically, you mention PySpark. It is a Python wrapper around a Java/Scala code base. Jupyter Notebook supports many different scripting languages, such as Jul

Ironically, you mention PySpark. It is a Python wrapper around a Java/Scala code base. Jupyter Notebook supports many different scripting languages, such as Julia and R. I agree that Numpy/Pandas will introduce more migration friction, and that is why I mentioned a slow death, similar to the trajectory Java is currently on. Java is still in the top three. However, its popularity has dropped in recent years. It is worth noting that both Cobol and Fortran are still in the top 30 programming languages.

skrtskrt 4y ago
it is funny that PySpark is just a Java/Scala wrapper, but the combo on PySpark + NumPy + Panda + Jupyter notebooks means that Python is option 1, 2, and 3 for any company that's just like "hmm let's start doing some data analysis/ML/whatever"! Also R is what's most often taught in school in my experience and boy does Python feel like a breath of fresh air when you've been trained in R. When you're coming out of college trained in data analysis but not software engineering per se, you've got no idea about the larger world of what other languages could offer.