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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

8.2 Approach

First, we’ll need some additional modules. The jsonschema module defines a validator that can be used to confirm a document matches the defined schema.

Additionally, the Pydantic module provides a way to create class definitions that can emit JSON Schema definitions, saving us from having to create the schema manually. In most cases, manual schema creation is not terribly difficult. For some cases, though, the schema and the validation rules might be challenging to write directly, and having Python class definitions available can simplify the process.

This needs to be added to the requirements-dev.txt file so other developers know to install it.

When using conda to manage virtual environments, the command might look like the following:

% conda install jsonschema pydantic

When using other tools to manage virtual environments, the command might look like the following:

% python -m pip install jupyterlab

The JSON Schema package requires some supplemental type stubs...

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