Kedro – Creating reproducible, maintainable and modular data science code

1. 1Install Kedro using pip to get started with creating modular data science code
2. 2Create a new Kedro project using the command line interface to set up a reproducible workflow
3. 3Define nodes and pipelines in Kedro to organize and structure data science code
4. 4Use Kedro's built-in features to track and manage dependencies between nodes and pipelines
5. 5Run and test Kedro pipelines to ensure reproducibility and maintainability of data science code

Data scientists and engineers can benefit from using Kedro to streamline their workflows and collaborate more effectively

💡 Kedro helps data scientists create reproducible and maintainable code by providing a modular and structured approach to data science workflows

🚀 Create reproducible, maintainable, and modular data science code with Kedro! 📈