Welcome
Introduction
- 1 How do reproducible and trustworthy workflows impact data science?
- 2 Introduction to the Bash Shell
Version Control
Projects, Environments, and Containers
Data Validation
- 13 Data validation
Automation
Software Testing for Data Science
Packaging
Continuous Integration
Continuous Deployment
Wrap Up
- 39 Copyright and licenses
- 40 Workflows for reproducibile and trustworthy data science wrap-up
Appendix

Wrap Up

Finally, we’ll wrap up with how we manage the actual codebase surrounding our work.