Re: So what? (Score 1)

As a data scientist who works with larger-than-memory datasets donâ(TM)t see that happening. Python is has a friendly learning curve (if the hardest challenge of your project is how are you going to code it⦠you have big problem). Also a data science project are by nature very experimental (you will tweak you code very often and wonâ(TM)t need to compile). If you have basic understanding of multiprocessing, parallelization, and know your way around the AVX instruction set, you can have ridiculously fast code. *Bonus* Plays nice with other languages and production environments.