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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

13.6 Filtering and Sorting Query Results

When working with SQL, you will often need to choose specific data from a table. This can be done using the SELECT statement, which can then be followed by the WHERE clause to filter the data and the ORDER BY clause to sort it.

The WHERE clause allows you to specify conditions that must be met for a particular row to be included in the results. For example, you can use the WHERE clause to select only the rows where the value in a certain column is greater than a specific number. The ORDER BY clause, on the other hand, allows you to sort the selected data based on a particular column.

You can specify whether the data should be sorted in ascending or descending order, and you can even sort by multiple columns at once. These two methods are some of the most common and powerful ways to manipulate data in SQL, and mastering them will allow you to perform more complex queries and analyses.

Example:

The WHERE clause allows you to filter results based...

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