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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

7.1.3 Deliverables

This project has the following deliverables:

  • A requirements-dev.txt file that identifies the tools used, usually jupyterlab==3.5.3.

  • Documentation in the docs folder.

  • Unit tests for any new changes to the modules in use.

  • Any new application modules with code to be used by the inspection notebook.

  • A notebook to inspect the attributes that appear to have cardinal data.

This project will require a notebooks directory. See List of deliverables for some more information on this structure.

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

Inspection module

You are encouraged to refactor functions like samples_iter(), non_numeric(), and numeric_filter() into a separate module. Additionally, the AttrSummary class and the closely related summary_iter() function are also good candidates for being moved to a separate module with useful inspection classes and functions.

Notebooks can be refactored to import these classes and functions from a separate...

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