5  Chapter 5 Notes

5.1 Key Takeaways

Benefits of CI/CD: - Ability to build your code from scratch - Source code is always available in a central repository - Automated testing and deployment simplifies and standardizes the testing/deployment process

Tactics: - Separate the dev and prod environments - Changes only happen through a promotion process from dev (through test) and into prod - Code promotion happens via Version Control (e.g., git)

Author’s suggestion for managing data science projects: 1. Maintain two long-running branches – main is the prod version of your project and test is a long-running pre-prod version. 2. Code can only be promoted to main via a merge from test. Direct pushes to main are not allowed. 3. New functionality is developed in short-lived feature branches that are merged into test when you think they’re ready to go. Once sufficient approvals are granted, the feature branch changes in test are merged into main.

Other: - Use YAML for conditional environments

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5.2 Lab / Project

5.2.1 Updates

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