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

Creating a new thread in Python

Having provided an overview of the threading module and its differences from the old thread module, in this section, we will explore a number of examples of creating new threads by using these tools in Python. As mentioned previously, the threading module is most likely the most common way of working with threads in Python. Specific situations require use of the thread module and maybe other tools, as well, and it is important for us to be able to differentiate those situations.

Starting a thread with the thread module

In the thread module, new threads are created to execute functions concurrently. As we have mentioned, the way to do this is by using the thread.start_new_thread() function:

thread.start_new_thread(function, args[, kwargs])

When this function is called, a new thread is spawned to execute the function specified by the parameters, and the identifier of the thread is returned when the function finishes its execution. The functionparameter is the name...