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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

7.6 Memory Management in Python

Python is a high-level programming language that has gained tremendous popularity in recent years due to its ease of use and powerful features. One of the key features that sets Python apart from other programming languages is its automatic memory management system. This system allows developers to focus on writing code without having to worry about manually allocating and deallocating memory, which can be a time-consuming and error-prone process in low-level languages such as C or C++.

The automatic memory management system in Python relies on two key elements: reference counting and garbage collection. Reference counting is a technique used by the Python interpreter to keep track of all references to an object in memory. Every time a new reference to an object is created, the reference count is incremented. Likewise, every time a reference to an object is deleted, the reference count is decremented. Once the reference count for an object reaches zero...

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