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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

8.3 Good practices related to raising and handling exceptions

When writing code, it's important to be mindful of how you handle exceptions. You don't want to blindly catch every exception that may arise, as this can make it difficult to identify and address real programming errors. Instead, it's best to be selective and catch only those exceptions that you are specifically prepared to handle. This way, you can ensure that your code is robust, reliable, and easy to debug.

For instance, let's consider a few examples of exceptions that you might want to catch. If you're working with external resources, such as files or network connections, you might want to catch IOError exceptions to handle situations where these resources are unavailable or inaccessible. Similarly, if you're working with user input, you might want to catch ValueError exceptions to handle cases where the input format is incorrect or out of range.

On the other hand, there are certain exceptions...

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