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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

Chapter 12 Conclusion

In this chapter, we embarked on a journey through SQL, a declarative language specifically designed to manage data stored in relational databases. We started with a brief historical review, tracing its origins back to IBM labs in the 1970s, to better understand the motivations behind SQL's creation and its enduring relevance.

Then, we ventured into the practical elements of SQL. We explored the syntax of SQL, which is notably different from Python and other popular programming languages, but it has its own clarity and logic. We studied the structure of SQL statements, learned about keywords, identifiers, operators, and expressions. We examined the basic but powerful operations that SQL allows us to perform on data: SELECT for data retrieval, INSERT for adding new data, UPDATE for modifying existing data, and DELETE for removing data.

We then delved into more complex queries involving sorting (ORDER BY), filtering (WHERE), and aggregation (GROUP BY). These...

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