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
About Packt

Synchronizing threads

As you saw in the previous examples, the threading module has many advantages over its predecessor, the thread module, in terms of functionality and high-level API calls. Even though some recommend that experienced Python developers know how to implement multithreaded applications using both of these modules, you will most likely be using the threading module to work with threads in Python. In this section, we will look at using the threading module in thread synchronization.

The concept of thread synchronization

Before we jump into an actual Python example, let's explore the concept of synchronization in computer science. As you saw in previous chapters, sometimes, it is undesirable to have all portions of a program execute in a parallel manner. In fact, in most contemporary concurrent programs, there are sequential portions and concurrent portions of the code; furthermore, even inside of a concurrent portion, some form of coordination between different threads/processes...