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Opening Credits
1/24/2025
Introduction
1/24/2025
Chapter 1 Getting started with python for data engineering
1/24/2025
Chapter 2 Data manipulation with python
1/24/2025
Chapter 3 Data extraction and transformation
1/24/2025
Chapter 4 Data storage and databases
1/24/2025
Chapter 5 Data pipelines and etl (extract, transform, load)
1/24/2025
Chapter 6 Data serialization and formats
1/24/2025
Chapter 7 Data streaming and real time processing
1/24/2025
Chapter 8 Data quality and testing
1/24/2025
Chapter 9 Deployment and scaling
1/24/2025
Chapter 10 Case studies and projects
1/24/2025
Chapter 11 Best practices and tips
1/24/2025
Ending Credits
1/24/2025