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

Chapter 16

What is the idea behind asynchronous programming?

Asynchronous programming is a model of programming that focuses on coordinating different tasks in an application with the goal that the application will use the least amount of time to finish executing those tasks. An asynchronous program switches from one task to another when it is appropriate to create overlap between the waiting and processing time, and therefore shorten the total time taken to finish the whole program.

How is asynchronous programming different from synchronous programming?

In synchronous programming, the instructions of a program are executed sequentially: a task has to finished executing before the next task in the program starts processing. With asynchronous programming, if the current task takes a significant amount of time to finish, you have the option to specify at one time during the task to switch the execution to another task.

How is asynchronous programming different from threading and multiprocessing?

Asynchronous programming keeps all of the instructions of a program in the same thread and process. The main idea behind asynchronous programming is to have a single executor switch from one task to another if it is more efficient (in terms of execution time) to simply wait for the first task for a while, while processing the second.