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Absolutely! We all quite like Python, and there's no denying that JavaScript doesn't have the same caliber and range of scientific code (yet!).

I fully expect plenty of people to do some of the data-crunching in Python, Julia, R, and so on, and bring it into Observable to explore and experiment. And I also expect JavaScript's ecosystem to blossom, especially with WebAssembly & WebGL hitting the mainstream.

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No doubt you're right, but I don't think JS is well suited for scientific computing. At least Python gives you operator overloading. Julia and R are designed for this field. It's better for JS to remain on the presentation side for anything sophisticated.

Forgive me if I read the response wrong but that seems like exactly what the author is saying? Do your computing in Python/R, export a generated CSV, and then present it in Observable?

With the possibility that WebAssembly and WebGL will make the libraries in Python/R available to JS. Which might be alright. You probably won't be able to utilize vectorization with operators.

What’s the status of d3 ports to Python? I believe plotly, d3py, and Bokeh all offer some amount of support.

I’d expect more python users to bring d3 in that bring python to JavaScript.

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