scj13

6 ms·

1.
Please add min-release-age to your .npmrc(endorlabs.com)
3 points by scj13 2mo ago|1 comments
2.
by scj13 2mo ago
I'm sure many of you will have seen the latest keyv / cachable compromise and worm-spread, now affecting over 350 packages. This isn't the first, and it won't be the last. The affected packages will steal and exfiltrate
3.
Embarrassingly parallel workloads on AWS without the infrastructure overhead(docs.coiled.io)
4 points by scj13 1y ago|1 comments
4.
by scj13 1y ago
Embarrassingly parallel problems are conceptually simple but can be operationally annoying. You want to run the same computation across many inputs, but end up spending more time on infrastructure than the actual problem. Here's a demo
5.
Self-contained Python scripts with uv and Coiled for easy cloud execution(docs.coiled.io)
3 points by scj13 1y ago|1 comments
6.
by scj13 1y ago
There's been a lot of excitement around uv, the Python package manager by Astral. But uv is more than just a faster pip. Because uv can interpret PEP 723 metadata, it behaves kind of like npm, where you have self-contained, runnable sc
7.
Run Pandas on cloud GPUs (without Docker or K8s)(developer.nvidia.com)
1 points by scj13 1y ago|1 comments
8.
by scj13 1y ago
NVIDIA published this blog post showing how to run GPU-accelerated pandas in the cloud using Coiled. In the example they do some typical data wrangling (read in parquet files from S3, do some filtering, aggregation, return a result) and saw
9.
by scj13 1y ago
Modal is great, they even released a deep dive into their LP solver for how they're able to get GPUs so quickly (and cheaply). Coiled is another option worth looking at if you're a Python developer. Not nearly as fast on cold star
10.
Python deserves better than EMR(docs.coiled.io)
2 points by scj13 1y ago|0 comments
11.
One billion row challenge in Python for Dask vs. Spark(github.com)
4 points by scj13 3y ago|0 comments
12.
We built a fancy task scheduler and all NASA wanted was this parallel for loop(blog.coiled.io)
7 points by scj13 3y ago|1 comments
13.
Show HN: Running Jupyter Notebooks on a GPU on AWS or Google Cloud(blog.coiled.io)
5 points by scj13 3y ago|0 comments
14.
Show HN: Dask-expr – query optimization for faster Dask DataFrames(github.com)
27 points by scj13 3y ago|0 comments