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

10.9 Practical Exercises

Now that we have discussed the many capabilities of Python for scientific computing, it is important to put these concepts into practice. Thus, the following section contains a series of practical exercises that are designed to help you reinforce what you have learned so far and gain a deeper understanding of how to use Python for scientific computing.

The exercises within this section will allow you to apply the concepts that you have learned in a hands-on manner. By completing these problems, you will gain valuable experience in using Python for scientific computing and will be better prepared to tackle more complex problems in the future.

The exercises in this section are carefully crafted to build upon each other, starting with simpler problems and gradually increasing in complexity. By working through each exercise step-by-step, you will gain a more thorough understanding of how to use Python for scientific computing and will be able to tackle more challenging...