Book Image

Advanced Python Programming - Second Edition

By : Quan Nguyen
Book Image

Advanced Python Programming - Second Edition

By: Quan Nguyen

Overview of this book

Python's powerful capabilities for implementing robust and efficient programs make it one of the most sought-after programming languages. In this book, you'll explore the tools that allow you to improve performance and take your Python programs to the next level. This book starts by examining the built-in as well as external libraries that streamline tasks in the development cycle, such as benchmarking, profiling, and optimizing. You'll then get to grips with using specialized tools such as dedicated libraries and compilers to increase your performance at number-crunching tasks, including training machine learning models. The book covers concurrency, a major solution to making programs more efficient and scalable, and various concurrent programming techniques such as multithreading, multiprocessing, and asynchronous programming. You'll also understand the common problems that cause undesirable behavior in concurrent programs. Finally, you'll work with a wide range of design patterns, including creational, structural, and behavioral patterns that enable you to tackle complex design and architecture challenges, making your programs more robust and maintainable. By the end of the book, you'll be exposed to a wide range of advanced functionalities in Python and be equipped with the practical knowledge needed to apply them to your use cases.
Table of Contents (32 chapters)
1
Section 1: Python-Native and Specialized Optimization
8
Section 2: Concurrency and Parallelism
18
Section 3: Design Patterns in Python

Chapter 12: Deadlocks

Deadlocks, one of the most common concurrency problems, will be the first problem that we will analyze in this book. In this chapter, we will discuss the theoretical causes of deadlocks in concurrent programming. We will cover a classical synchronization problem in concurrency, called the dining philosophers problem, as a real-life example of a deadlock. We will also illustrate an actual implementation of a deadlock in Python and discuss several methods to address this problem. This chapter will also cover the concept of livelocks, which are relevant to deadlocks and are also a common problem in concurrent programming.

The following topics will be covered in this chapter:

  • The concept of deadlocks
  • Approaches to deadlock situations
  • The concept of livelocks

By the end of this chapter, we will have gained a deep understanding of the problem, its place in concurrent programming, and the practical approaches to solving it.