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📅 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.

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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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