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

9.2 Exploring Some Key Libraries

The Python Standard Library is quite extensive and contains a plethora of modules for a wide array of tasks. However, what makes Python even more powerful is the vast number of third-party libraries available in the Python ecosystem. These libraries provide additional functionality and features that are not included in the Standard Library. In fact, the Python package index (PyPI) currently hosts over 300,000 packages and counting!

In this section, we will delve into some of the key libraries that are widely used in the Python community. These libraries offer an abundance of power and convenience across various domains, from data analysis and manipulation to web development and beyond. With these libraries at your disposal, you can greatly enhance your productivity and efficiency when working with Python.