Python data science tips

This repository contains tips for common tasks encountered whilst working in data science, just as developing machine learning models for production and creating simple unit tests for datasets.

Topics

1. Creating simple unit tests for datasets
2. Applying object-oriented programming to model development

Other resources

This repository draws from other excellent Python tutorials.

• Introductory and intermediate Python workshops from the Research Platform Services, University of Melbourne (2018). Workshop materials can be accessed here and here
• The intermediate Python tutorials from Real Python