Book Image

Advanced Python Programming

By : Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
Book Image

Advanced Python Programming

By: Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Overview of this book

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: • Python High Performance - Second Edition by Gabriele Lanaro • Mastering Concurrency in Python by Quan Nguyen • Mastering Python Design Patterns by Sakis Kasampalis
Table of Contents (41 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Chapter 10. Working with Threads in Python

In Chapter 08Advanced Introduction to Concurrent and Parallel Programming, you saw an example of threads being used in concurrent and parallel programming. In this chapter, you will be introduced to the formal definition of a thread, as well as the threading module in Python. We will cover a number of ways to work with threads in a Python program, including activities such as creating new threads, synchronizing threads, and working with multithreaded priority queues, via specific examples. We will also discuss the concept of a lock in thread synchronization, and we will implement a lock-based multithreaded application, in order to better understand the benefits of thread synchronization.

The following topics will be covered in this chapter:

  • The concept of a thread in the context of concurrent programming in computer science
  • The basic API of the threading module in Python
  • How to create a new thread via the threading module
  • The concept of a lock and...