Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

“Python’s extensibility and interoperability with other programming languages and numerical libraries makes it an increasingly popular choice in both the financial and scientific computing ...

The January 2021 update to the Python Extension for Visual Studio Code is out with a short list of new features headed by a data viewer used while debugging.

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.