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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

3.5 Extras

Here are some ideas for you to add to this project.

3.5.1 Logging enhancements

We skimmed over logging, suggesting only that it’s important and that the initialization for logging should be kept separate from the processing within the main() function.

The logging module has a great deal of sophistication, however, and it can help to explore this. We’ll start with logging ”levels”.

Many of our logging messages will be created with the INFO level of logging. For example:

logger.info("%d rows processed", input_count)

This application has a number of possible error situations that are best reflected with error-level logging.

Additionally, there is a tree of named loggers. The root logger, named "", has settings that apply to all the lower-level loggers. This tree tends to parallel the way object inheritance is often used to create classes and subclasses. This can make it advantageous to create loggers for each class...

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