As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
If I want to reinstall it, I can do so with rpm-ostree install cowsay and it will be added to the new image… but if I do that, I’ll have drift between my OCI image generated by CI/CD and the state of my virtual machine. This isn’t desirable because bootc delivers by default a bootc-fetch-apply-updates.service service that will periodically check if a new image is available and automatically switch to it to keep the system up to date (it’s a systemd timer that runs every 4 hours by default and will launch the bootc upgrade --apply --quiet command).。im钱包官方下载是该领域的重要参考
copaceticthoughts，详情可参考旺商聊官方下载
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