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Advanced Python Programming

You're reading from Advanced Python Programming Accelerate your Python programs using proven techniques and design patterns

Product type Paperback

Published in Mar 2022

Publisher Packt

ISBN-13 9781801814010

Length 606 pages

Edition 2nd Edition

Languages

Python

Tools

PyCharm

Concepts

Design Patterns

Author (1):

Quan Nguyen

View More author details

Table of Contents (32) Chapters

Preface

1. Section 1: Python-Native and Specialized Optimization

2. Chapter 1: Benchmarking and Profiling FREE CHAPTER

3. Chapter 2: Pure Python Optimizations

4. Chapter 3: Fast Array Operations with NumPy, Pandas, and Xarray

5. Chapter 4: C Performance with Cython

6. Chapter 5: Exploring Compilers

7. Chapter 6: Automatic Differentiation and Accelerated Linear Algebra for Machine Learning

8. Section 2: Concurrency and Parallelism

9. Chapter 7: Implementing Concurrency

10. Chapter 8: Parallel Processing

11. Chapter 9: Concurrent Web Requests

12. Chapter 10: Concurrent Image Processing

13. Chapter 11: Building Communication Channels with asyncio

14. Chapter 12: Deadlocks

15. Chapter 13: Starvation

16. Chapter 14: Race Conditions

17. Chapter 15: The Global Interpreter Lock

18. Section 3: Design Patterns in Python

19. Chapter 16: The Factory Pattern

20. Chapter 17: The Builder Pattern

21. Chapter 18: Other Creational Patterns

22. Chapter 19: The Adapter Pattern

23. Chapter 20: The Decorator Pattern

24. Chapter 21: The Bridge Pattern

25. Chapter 22: The Façade Pattern

26. Chapter 23: Other Structural Patterns

27. Chapter 24: The Chain of Responsibility Pattern

28. Chapter 25: The Command Pattern

29. Chapter 26: The Observer Pattern

30. Assessments

31. Other Books You May Enjoy

Technical requirements

You can access the code used in this chapter on GitHub at https://github.com/PacktPublishing/Advanced-Python-Programming-Second-Edition/tree/main/Chapter04.

The rest of the chapter is locked

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Authors (1)

Quan Nguyen

Quan Nguyen

Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.

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