jax in the browser on WebGPU next please?
https://jax-js.com/
I’m aware of Jax-js. It’s a different beast: an [incomplete last I checked] port of jax for JS, not something you can run your, e.g. jax-dependent marimo notebook or pyodide against
Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
11–17 of 17 posts
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#12Does this bring me closer to being able to run notebooks natively on my ipad?
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#13Emscripten-forge looks like 32-bit.
I don't understand the article. It stresses that you don't need to run code on a Python server any more.
That assumes that the only option for scientists is to interact with the browser. Scientists used to be able to write Fortran and didn't rely on a crappy web interface. That was of course when they did science instead of blogging about tools.
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#14This is awesome! For those here not familiar with Numba, it helps bridge that performance vs ergonomics tradeoff that's always existed when you reach for python over a lower level but faster lang like C or C++. Sure you could write Cython but then you have to have a build step and make wheels for every platform you and python version. Sure numpy has gotten faster over the years but you're still hampered by the GIL. N…
I run some Jupyter notebooks against a local Postgres realestate db to do statistical analysis. Could I use this to just run it on a compute host without having to manually set up and activate a venv?
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#15Emscripten-forge looks like 32-bit. I don't understand the article. It stresses that you don't need to run code on a Python server any more. That assumes that the only option for scientists is to interact with the browser. Scientists used to be able to write Fortran and didn't rely on a crappy web interface. That was of course when they did science instead of blogging about tools.
I find your take a little lacking in nuance...
It's not the only option but jupyter notebooks are excellent for (at least) quick prototyping, data visualisation, literate programming and exploring ideas. I write plenty of Fortran and C++ and I still reach for notebooks when appropriate. In discussing with a non-technical, scientist friend, she pointed out that existing notebooks can be used and edited by folk even if they don't know python that well.
At the very least I see this particular tech as enabling more science by removing the operational challenge of running a jupyter server.
These tools take nothing from those who want to write fortran to do their science but make computation more accessible to those who don't.
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#16This is awesome! For those here not familiar with Numba, it helps bridge that performance vs ergonomics tradeoff that's always existed when you reach for python over a lower level but faster lang like C or C++. Sure you could write Cython but then you have to have a build step and make wheels for every platform you and python version. Sure numpy has gotten faster over the years but you're still hampered by the GIL. N…
I run some Jupyter notebooks against a local Postgres realestate db to do statistical analysis. Could I use this to just run it on a compute host without having to manually set up and activate a venv?
Good question.
I'd stick with the venv if it's heavy duty crunching and you do it often.
However, if this is a one off or doesn't need heavy compute, and you don't mind waiting a little longer, use the notebook.link.
Re: Numba in the Browser: Unlocking a New Scientific Python Stack in JupyterLite
#17jax in the browser on WebGPU next please?
Why not use Numba? In my mental model they achieve the same win, generating GIL-free, bytecode-level perf.
I'm not super familiar with JAX though.