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Python Real-World Projects

You're reading from   Python Real-World Projects Craft your Python portfolio with deployable applications

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Length 478 pages
Edition 1st Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects FREE CHAPTER 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

15.3 Deliverables

This project has the following deliverables:

  • Documentation in the docs folder.

  • Acceptance tests in the tests/features and tests/steps folders.

  • Unit tests for model module classes in the tests folder.

  • Mock objects for the csv_extract module tests will be part of the unit tests.

  • Unit tests for the csv_extract module components that are in the tests folder.

  • An application to summarize the cleaned data in a TOML file.

  • An application secondary feature to transform the TOML file to an HTML page or PDF file with the summary.

In some cases, especially for particularly complicated applications, the summary statistics may be best implemented as a separate module. This module can then be expanded and modified without making significant changes to the overall application.

The idea is to distinguish between these aspects of this application:

  • The CLI, which includes argument parsing and sensible handling of input and output paths.

  • The statistical model, which evolves as our understanding...

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