Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
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20
Index

Coroutines

Coroutines are subroutines that offer non-pre-emptive multitasking through multiple entry points. The basic premise is that coroutines allow two functions to communicate with each other while running within a single thread. Normally, this type of communication is reserved only for multitasking or multithreading solutions, but coroutines offer a relatively simple way of achieving this at almost no added performance cost.

Since generators are lazy by default, you might be able to guess how coroutines function. Until a result is consumed, the generator sleeps; but while consuming a result, the generator becomes active. The difference between regular generators and coroutines is that with coroutines the communication goes both ways; the coroutine can receive values as well as yield them to the calling function.

If you are familiar with asyncio you might notice a strong similarity between asyncio and coroutines. That is because asyncio is built on the idea of coroutines...