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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

13.3 Deliverables

This project has the following deliverables:

  • A requirements-dev.txt file that identifies the tools used, usually jupyterlab==3.5.3 and matplotlib==3.7.0.

  • Documentation in the docs folder.

  • Unit tests for any new application modules in the tests folder.

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

  • A notebook to summarize the clean data. In the case of Anscombe’s quartet, it’s essential to show the means and variances are nearly identical, but the scatter plots are dramatically different.

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

13.3.1 Unit test

There are two distinct kinds of modules that can require testing:

  • The notebook with any function or class definitions. All of these definitions require unit tests.

  • If functions are factored from the notebook into a supporting module, this module will need unit tests. Many previous projects have emphasized these tests.

A notebook...

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