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Advanced Python Programming

You're reading from   Advanced Python Programming Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns

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Product type Course
Published in Feb 2019
Publisher Packt
ISBN-13 9781838551216
Length 672 pages
Edition 1st Edition
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Authors (3):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
Sakis Kasampalis Sakis Kasampalis
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Sakis Kasampalis
Dr. Gabriele Lanaro Dr. Gabriele Lanaro
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Dr. Gabriele Lanaro
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Table of Contents (41) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
Benchmarking and Profiling FREE CHAPTER Pure Python Optimizations Fast Array Operations with NumPy and Pandas C Performance with Cython Exploring Compilers Implementing Concurrency Parallel Processing Advanced Introduction to Concurrent and Parallel Programming Amdahl's Law Working with Threads in Python Using the with Statement in Threads Concurrent Web Requests Working with Processes in Python Reduction Operators in Processes Concurrent Image Processing Introduction to Asynchronous Programming Implementing Asynchronous Programming in Python Building Communication Channels with asyncio Deadlocks Starvation Race Conditions The Global Interpreter Lock The Factory Pattern The Builder Pattern Other Creational Patterns The Adapter Pattern The Decorator Pattern The Bridge Pattern The Facade Pattern Other Structural Patterns The Chain of Responsibility Pattern The Command Pattern The Observer Pattern 1. Appendix 2. Other Books You May Enjoy 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...
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