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Re:The Decade of Swift by pjmlp on Tuesday December 31, 2019 @05:50AM (#21920172)
Julia is the only sound alternative to Python.

If they want to make an Apple only version of Tensorflow, so be it, but don't expect it to take off on Linux and Windows research labs.

Re:The Decade of Swift by skohan on Tuesday December 31, 2019 @06:05AM (#21920221)
What’s with the FUD? You can already run S4TF notebooks on Colab, and it’s trivial to spin up S4TF in any environment using Docker.
Re:The Decade of Swift by pjmlp on Tuesday December 31, 2019 @07:37AM (#21920607)
How do you spin S4TF on Windows Containers or any kind of Linux distribution in-house?
Re:The Decade of Swift by skohan on Tuesday December 31, 2019 @10:12AM (#21921452)
Using Docker

Edit: or on Ubuntu just download the toolchain.

Re:The Decade of Swift by pjmlp on Tuesday December 31, 2019 @10:40AM (#21921688)
So instead of using the native tooling provided by Julia, ML.NET, PyTorch, the solution is to somehow either emulate Linux on Windows, or being stuck with Ubuntu as distribution.
Re:The Decade of Swift by skohan on Tuesday December 31, 2019 @11:05AM (#21921962)
I mean containerization is not the same as emulation.

But I would assume a lot of people just want a notebook to do their work in. Does it really matter if it’s running in a container or natively? Most python projects run inside a virtual environment anyway, which is comparable if not more poorly encapsulated.

Also the cloud use-case is expanding. Environment basically doesn’t matter at all in that case.

Re:The Decade of Swift by pjmlp on Tuesday December 31, 2019 @11:13AM (#21922034)
It is on Windows, because Swift hardly runs there, if at all.

Yes it matters, because many organisations get development stations managed by IT, and there are very strict compliance regulations regarding where data processing takes place.