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

SQL Python

Concepts

Programming Language

Author (1):

Cuantum Technologies LLC

Table of Contents (29) Chapters

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

CRUD Operations

12.5 SQL Queries

SQL queries are an essential aspect of interacting with an SQL database. These queries allow us to retrieve data, modify data, and structure data in ways that help us understand and manipulate it. Moreover, SQL queries consist of commands that can be categorized as DDL (Data Definition Language) or DML (Data Manipulation Language), as mentioned in the previous section.

However, SQL querying is not as simple as just executing a few commands. To become proficient in SQL, one must master more complex querying techniques. For example, one must know how to filter data based on specific criteria, sort data in ascending or descending order, group data based on specific attributes, and join multiple tables to extract relevant information. In this section, we'll dive deeper into these advanced querying techniques to help you become a skilled SQL user.

By mastering these techniques, you'll be able to manipulate and analyze large databases with ease, making it a valuable...