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Python and SQL Bible

You're reading from  Python and SQL Bible

Product type Book
Published in Jun 2024
Publisher Packt
ISBN-13 9781836206279
Pages 519 pages
Edition 1st Edition
Languages
Author (1):
Cuantum Technologies LLC Cuantum Technologies LLC
Profile icon Cuantum Technologies LLC
Toc

Table of Contents (29) Chapters close

1. Who we are 2. Introduction
3. Chapter 1: Python: An Introduction 4. Chapter 2: Python Building Blocks 5. Chapter 3: Controlling the Flow 6. Chapter 4: Functions, Modules, and Packages 7. Chapter 5: Deep Dive into Data Structures 8. Chapter 6: Object-Oriented Programming in Python 9. Chapter 7: File I/O and Resource Management 10. Chapter 8: Exceptional Python 11. Chapter 9: Python Standard Library 12. Chapter 10: Python for Scientific Computing and Data Analysis 13. Chapter 11: Testing in Python 14. Chapter 12: Introduction to SQL 15. Chapter 13: SQL Basics 16. Chapter 14: Deep Dive into SQL Queries 17. Chapter 15: Advanced SQL 18. Chapter 16: SQL for Database Administration 19. Chapter 17: Python Meets SQL 20. Chapter 18: Data Analysis with Python and SQL 21. Chapter 19: Advanced Database Operations with SQLAlchemy 22. References
23. Conclusion
24. Where to continue?
25. Know more about us
Appendix A: Python Interview Questions
1. Appendix B: SQL Interview Questions
2. Appendix C: Python Cheat Sheet 3. Appendix D: SQL Cheat Sheet

8.4 Logging in Python

Logging is an essential and powerful tool in your programming toolbox that can help you identify and troubleshoot errors in your code. Python's built-in logging module provides a flexible framework for emitting log messages from Python programs.

It allows you to log different types of messages, such as informational, warning, and error messages, and provides a way for applications to configure different log handlers and to route log messages directly to console, files, email, or custom locations in a flexible and configurable manner.

The logging module can be easily extended to handle custom log messages and to integrate with third-party logging services, making it a highly versatile and useful tool for any Python developer.

Example:

First, let's take a look at a simple logging example:

This will output:

The logging module allows for both diagnostic logging (recording the events happening when software runs) and audit logging (recording the events...

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