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Does not install on Aarch64 (arm64) macOS #5872
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Whole pip output
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Sorry to edit your stuff, was making my eyes bleed. Broadly: I'd give open source maintainers a few weekends before expecting stuff to Just Work ™️ on novel chipsets that came out last week! Sure, the m1 is "arm," but it's also "really proprietary." Next steps: until all the upstreams of
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Great that worked! Thank you very much 😁 Yes i see what you mean by the
really proprietary haha its been quite a pain so far. But performance is
impressive.
Thanks joe
…On Wed, 18 Nov 2020 at 01:50, Nicholas Bollweg ***@***.***> wrote:
Sorry to edit your stuff, was making my eyes bleed.
Broadly: I'd give open source maintainers a few weekends before expecting
stuff to Just Work ™️ on novel chipsets that came out last week! Sure,
the m1 is "arm," but it's also "really proprietary."
Next steps: until all the upstreams of notebook have published wheels on
pypi for this new stuff to make it easier for you, the Jupyter stack is
rather easily installable from conda-forge:
- get miniforge
<https://github.com/conda-forge/miniforge/releases/tag/4.9.0-3> for
your os/platform
- might not work if downloaded from the browser (see "really
proprietary")
- curl -LO
https://github.com/conda-forge/miniforge/releases/download/4.9.0-3/Miniforge3-4.9.0-3-MacOSX-arm64.sh
- bash Miniforge3-4.9.0-3-MacOSX-arm64.sh, follow the prompts
- conda install notebook
- profit!
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@bollwyvl Any update on this? I'd like to avoid using miniforge if possible. |
On arch anaconda is not compatible with pacman package manager, check out using yay yet another yogurt package managers. |
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