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radus

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投稿

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1 ポイント·投稿者 radus·6 か月前·0 コメント

Yet another redundant workflow engine

github.com
2 ポイント·投稿者 radus·8 か月前·0 コメント

The FAIR Guiding Principles for scientific data management and stewardship

nature.com
1 ポイント·投稿者 radus·9 か月前·0 コメント

コメント

radus
·4 か月前·議論
It's simple, just tell it not to hallucinate.
radus
·7 か月前·議論
Okay, but why?
radus
·7 か月前·議論
I'm working on adding features to the snakemake aws batch executor plugin. The existing plugin supports execution on AWS Batch by dynamically creating job definitions based on rule resource configuration, but was missing support for features like using different containers for different rules, consumable resources, secrets, etc. Two approaches:

1) https://github.com/radusuciu/snakemake-executor-plugin-aws-b... (my fork). Just add the features to the batch job building code 2) https://github.com/radusuciu/snakemake-executor-plugin-aws-b.... This is more experimental and not yet fully working. I wanted to try a few things. a) can we rely on existing job definitions (managed through IaC instead). b) can we implement a fire-and-forget model where the main snakemake process runs on Batch as well? c) Can we slim down the snakemake container by stripping off unnecessary features.
radus
·7 か月前·議論
Polars has a much more consistent API, give it a shot.

Regarding your plotting question: use seaborn when you can, but you’ll still need to know matplotlib.
radus
·4 年前·議論
> I program the happy path then write tests and use them to help uncover edge cases.

This approach resonates with me as well. I would add that writing tests when investigating bugs or deviations from expected behavior is also useful.
radus
·4 年前·議論
“Please extract this to a separate function”