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Clean Code in Python

Clean Code in Python

By : Anaya
4.6 (34)
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Clean Code in Python

Clean Code in Python

4.6 (34)
By: Anaya

Overview of this book

Experienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code. With updated code and revised content aligned to the new features of Python 3.9, this second edition of Clean Code in Python will provide you with all the tools you need to overcome these obstacles and manage your projects successfully. The book begins by describing the basic elements of writing clean code and how it plays a key role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. The book discusses object-oriented programming in Python and shows you how to use objects with descriptors and generators. It will also show you the design principles of software testing and how to resolve problems by implementing software design patterns in your code. In the concluding chapter, we break down a monolithic application into a microservices-based one starting from the code as the basis for a solid platform. By the end of this clean code book, you will be proficient in applying industry-approved coding practices to design clean, sustainable, and readable real-world Python code.
Table of Contents (13 chapters)
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11
Other Books You May Enjoy
12
Index

Coroutines

The idea of a coroutine is to have a function, whose execution can be suspended at a given point in time, to be later resumed. By having this kind of functionality, a program might be able to suspend a part of the code, in order to dispatch something else for processing, and then come back to this original point to resume.

As we already know, generator objects are iterables. They implement __iter__() and __next__(). This is provided by Python automatically so that when we create a generator object function, we get an object that can be iterated or advanced through the next() function.

Besides this basic functionality, they have more methods so that they can work as coroutines (PEP-342). Here, we will explore how generators evolved into coroutines to support the basis of asynchronous programming before we go into more detail in the next section, where we will explore the new features of Python and the syntax that covers programming asynchronously....

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