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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

9.2 Approach

We’ll take some guidance from the C4 model ( https://c4model.com) when looking at our approach.

  • Context: For this project, the context diagram has expanded to three use cases: acquire, inspect, and clean.

  • Containers: There’s one container for the various applications: the user’s personal computer.

  • Components: There are two significantly different collections of software components: the acquisition program and the cleaning program.

  • Code: We’ll touch on this to provide some suggested directions.

A context diagram for this application is shown in Figure 9.1.

Figure 9.1: Context Diagram
Figure 9.1: Context Diagram

A component diagram for the conversion application isn’t going to be as complicated as the component diagrams for acquisition applications. One reason for this is there are no choices for reading, extracting, or downloading raw data files. The source files are the ND JSON files created by the acquisition application.

The second reason the conversion...

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