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scj13

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  1. Embarrassingly parallel workloads on AWS without the infrastructure overhead (docs.coiled.io)
    4 points 1
  2. Self-contained Python scripts with uv and Coiled for easy cloud execution (docs.coiled.io)
    3 points 1
  3. Run Pandas on cloud GPUs (without Docker or K8s) (developer.nvidia.com)
    1 points 1
  4. Python deserves better than EMR (docs.coiled.io)
    2 points 0
  5. One billion row challenge in Python for Dask vs. Spark (github.com)
    4 points 0
  6. 1 points 0
  7. We built a fancy task scheduler and all NASA wanted was this parallel for loop (blog.coiled.io)
    7 points 1
  8. Show HN: Running Jupyter Notebooks on a GPU on AWS or Google Cloud (blog.coiled.io)
    5 points 0
  9. Show HN: Dask-expr – query optimization for faster Dask DataFrames (github.com)
    27 points 0
  10. 1 points 0