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

Summary


In this chapter, you learned about asynchronous programming, which is a model of programming that takes advantage of coordinating computing tasks to overlap the waiting and processing times. There are three main components to an asynchronous program: the event loop, the coroutines, and the futures. The event loop is in charge of scheduling and managing coroutines using its task queue. Coroutines are computing tasks that are to be executed asynchronously; each coroutine has to specify inside of its function exactly where it will give the execution flow back to the event loop (that is, the task-switching event). Futures are placeholder objects that contain the results obtained from the coroutines.

The asyncio module, together with the Python keywords async and await, provides an easy-to-use API and an intuitive framework to implement asynchronous programs; additionally, this framework makes the asynchronous code just as readable as synchronous code, which is generally quite rare in...