vukonen

6 ms·

1. 1.▲
   by vukonen 7y ago

   The reason to choose it in the first place is, as I said, ease and convenience of use when used as a glue language. It's easier than in say, C or C++, to call some functions operating on Numpy arrays and make a graph based on that. I j
2. 2.▲
   by vukonen 7y ago

   I don't think anyone has "chosen" to implement Numpy (or any of the hundreds of C and C++ modules) in Python because of its language features. On the contrary, they specifically avoided using pure Python because of its low pe
3. 3.▲
   by vukonen 7y ago

   Numpy is written in C and PyTorch is written in C++. If you mean their APIs, you are right that they are more pleasant to use in Python, but that's because Python trades off performance and control for convenience and ease of use. I on
4. 4.▲
   by vukonen 7y ago

   I agree that Python is great as a glue language. Maybe "arbitrary" wasn't the right word to use. What I meant was that Python hides what actually happens in exactly the same way that lower level languages do, just at a higher
5. 5.▲
   by vukonen 7y ago

   Python is just an arbitrarily chosen glue language in regards to data science and machine learning. Pretty much all the heavy lifting (where having a lot of control is required for performance) is done by modules written in C or C++. There&