| 📅 Today’s Picks |
Automate Code Quality Without Manual Checking
Problem:
Code quality is essential for data science projects, but manual checking consumes valuable time that could be spent on analysis and insights.
Solution:
Pre-commit automates code quality validation before every commit.
Key benefits:
- Automatic formatting validation
- Comprehensive linting checks
- Type checking before commits
And all you need is a simple .pre-commit-config.yaml configuration file.
Full Article:
Deploy ML Models Without Docker Hub Costs
Problem:
Docker Hub forces you into an expensive choice: pay mounting fees for private repositories or risk exposing your proprietary code publicly.
Plus, Docker transfers entire multi-gigabyte images even for small code changes, wasting time and bandwidth.
Solution:
Unregistry eliminates registries entirely with docker pussh – push images directly to remote servers over SSH.
Key benefits:
- Smart transfers: only sends changed parts, not the whole image
- No registry infrastructure to set up or maintain
- Works with existing SSH connections
- Faster deployments by avoiding duplicate data transfers
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