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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

4.3 Summary

This chapter’s projects have shown examples of the following features of a data acquisition application:

  • Web API integration via the requests package. We’ve used the Kaggle API as an example of a RESTful API that provides data for download and analysis.

  • Parsing an HTML web page using the Beautiful Soup package.

  • Adding features to an existing application and extending the test suite to cover these new alternative data sources.

A challenging part of both of these projects is creating a suite of acceptance tests to describe the proper behavior. Pragmatically, a program without automated tests cannot be trusted. The tests are every bit as important as the code they’re exercising.

In some enterprises, the definition of done is breezy and informal. There may be a presentation or an internal memo or a whitepaper that describes the desired software. Formalizing these concepts into tangible test cases is often a significant effort. Achieving agreements can become...

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