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Intro
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Classroom Contents
Reproducible and Deployable Data Science with Open-Source Python
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- 1 Intro
- 2 The Scenario
- 3 Different perspectives
- 4 The challenges of Jupyter notebook
- 5 Challenges with Data Management in Jupyter Notebook
- 6 Declarative Data Management in Kedro
- 7 Parameters & Configuration Management
- 8 Tradeoffs
- 9 Challenges with managing code in Jupyter Notebook
- 10 Development experience in Jupyter Notebook
- 11 Development experience in Kedro
- 12 MLOPS: THE AI LIFECYCLE FOR IT PRODUCTION
- 13 Taking advantage of Kedro's extensibility
- 14 Different strategies
- 15 Why developing with Kedro and orchestrating with Airflow?
- 16 Beyond a single project
