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tolstoyevsky
searching PlanetScale…
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Demystifying the Kubernetes Iceberg – Part 1
(asankov.dev)
1 points
by
tolstoyevsky
4y ago
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0 comments
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tolstoyevsky
5y ago
I haven't experienced any real issues with GPU availability on Colab, I suggest that you just go ahead and use it and wait with the premature optimization until you actually hit a wall and need it. For general advice focused on beginne
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tolstoyevsky
5y ago
I don't have official confirmation, but my experience is that at least the IntelliJ plugin version 100% seems to be using or remembering context from other parts of the project. It will know how to complete pieces of code in a brand ne
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Show HN: FastDS – Quality-of-life wrapper for Git and DVC
2 points
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tolstoyevsky
5y ago
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0 comments
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Show HN: FastDS – Quality-of-life wrapper for Git and DVC
(fastds.io)
4 points
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tolstoyevsky
5y ago
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0 comments
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Show HN: Free, zero configuration hosting for data and models using Git and DVC
7 points
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tolstoyevsky
6y ago
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Guide to Effective Linux and Bash for Data Scientists
(dagshub.com)
41 points
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tolstoyevsky
6y ago
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0 comments
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Comparing Data Version Control Tools – 2020
(dagshub.com)
6 points
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tolstoyevsky
6y ago
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Recommended Data Science Content Sources
(dagshub.com)
3 points
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tolstoyevsky
6y ago
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tolstoyevsky
6y ago
I understood exactly the opposite point from the article - it's saying the exact thing you're saying, people will accept a CONSTANT AMOUNT of crap to get to their goals, and technology doesn't change this. It only changes how
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tolstoyevsky
6y ago
Looks very interesting! Could be nice to get links in the body of the article for further reading and definitions of technical terms.
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tolstoyevsky
6y ago
Recommended listening to get historical proportions: https://allthingscomedy.com/podcasts/431---year-of-the-locus...
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by
tolstoyevsky
6y ago
DAGsHub | Senior Fullstack Developer | Tel-Aviv, IL | Full-time | ONSITE | https://DAGsHub.com/careers DAGsHub is looking for a strong Full Stack Developer to join our very early team. As one of the first members of the tea
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tolstoyevsky
8y ago
I think maybe this could better illustrate what can be done using DVC: https://dagshub.com/DAGsHub-Official/DAGsHub-Tutorial-MNIST You can navigate branches, and be able to download the data, model, and intermediate pi