How do you keep track of code used for one-shot experiments and analysis?

Hello!

I'm a huge fan of software best practices, and I believe that following them helps us to move faster and make more reliable projects. I'm currently working on a project and we have developed a Python package with all the logic to generate the data, train the model, and evaluate it. It follows the typical structure of a Python package

```
setup.py
requirements.txt
package/__init__.py
package/core.py
package/helpers.py
tests/test_basic.py
tests/test_advanced.py
```

and we even have CI/CD that runs tests every time …

analysis and analysis best practices code data datascience faster generate hello logic package practices project projects python software them train