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Python Real-World Projects

You're reading from  Python Real-World Projects

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Pages 478 pages
Edition 1st Edition
Languages
Author (1):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott

Table of Contents (20) Chapters

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects 3. Chapter 3: Project 1.1: Data Acquisition Base Application 4. Chapter 4: Data Acquisition Features: Web APIs and Scraping 5. Chapter 5: Data Acquisition Features: SQL Database 6. Chapter 6: Project 2.1: Data Inspection Notebook 7. Chapter 7: Data Inspection Features 8. Chapter 8: Project 2.5: Schema and Metadata 9. Chapter 9: Project 3.1: Data Cleaning Base Application 10. Chapter 10: Data Cleaning Features 11. Chapter 11: Project 3.7: Interim Data Persistence 12. Chapter 12: Project 3.8: Integrated Data Acquisition Web Service 13. Chapter 13: Project 4.1: Visual Analysis Techniques 14. Chapter 14: Project 4.2: Creating Reports 15. Chapter 15: Project 5.1: Modeling Base Application 16. Chapter 16: Project 5.2: Simple Multivariate Statistics 17. Chapter 17: Next Steps 18. Other Books You Might Enjoy 19. Index

2.7 Data contracts

We will touch on data contracts at various stages in this pipeline. This application’s data acquisition, for example, may have a formalized contract with a data provider. It’s also possible that an informal data contract, in the form of a schema definition, or an API is all that’s available.

In Chapter 8, Project 2.5: Schema and Metadata we’ll consider some schema publication concerns. In Chapter 11, Project 3.7: Interim Data Persistence we’ll consider the schema provided to downstream applications. These two topics are related to a formal data contract, but this book won’t delve deeply into data contracts, how they’re created, or how they might be used.

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Python Real-World Projects
Published in: Sep 2023 Publisher: Packt ISBN-13: 9781803246765
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