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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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Toc

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

9.3 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 the application modules in the tests folder.

  • Application to clean some acquired data and apply simple conversions to a few fields. Later projects will add more complex validation rules.

We’ll look at a few of these deliverables in a little more detail.

When starting a new kind of application, it often makes sense to start with acceptance tests. Later, when adding features, the new acceptance tests may be less important than new unit tests for the features. We’ll start by looking at a new scenario for this new application.

9.3.1 Acceptance tests

As we noted in Chapter 4, Data Acquisition Features: Web APIs and Scraping, we can provide a large block of text as part of a Gherkin scenario. This can be the contents of an input file. We can consider something like the following scenario.

Scenario...
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