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

12.4 SQL Operations

Once we have a solid grasp of the syntax, data types, and constraints used in SQL, it is important to delve deeper into the various operations that can be performed using this powerful programming language. By understanding the full scope of SQL's capabilities, we can unlock new ways to manipulate and analyze data.

One of the most important distinctions to make when working with SQL is the difference between Data Definition Language (DDL) commands and Data Manipulation Language (DML) commands. DDL commands are used to define the structure of a database, including creating and modifying tables, while DML commands are used to manipulate the data contained within those tables. By mastering both DDL and DML commands, we can gain a comprehensive understanding of how SQL can be used to manage and analyze complex datasets.

In addition to these core operations, there are a number of other advanced techniques that can be used when working with SQL. For example, we can...