Tutorial on applying unit testing, version control, and CI to data analysis scripts. Targets interview-style queries using Python. Integrates GitHub Actions for automation.
Key Points
- 1.Unit tests on data queries
- 2.Git version control
- 3.GitHub Actions CI pipeline
Impact Analysis
Data scientists gain robust, reproducible workflows for analysis code. Enhances reliability for interviews and production data projects. Reduces errors and speeds up development cycles.
Technical Details
Python scripts for data queries are unit-tested for accuracy. Git manages versions of analysis code. GitHub Actions runs tests automatically on commits.
