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Key benefits

Enhance your coding skills using the new features introduced in Python 3.9

Implement the refactoring techniques and SOLID principles in Python

Apply microservices to your legacy systems by implementing practical techniques

Description

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.

Who is this book for?

This book is designed to benefit new as well as experienced programmers. It will appeal to team leads, software architects and senior software engineers who would like to write Pythonic code to save on costs and improve efficiency. The book assumes that you have a strong understanding of programming

What you will learn

Set up a productive development environment by leveraging automatic tools

Leverage the magic methods in Python to write better code, abstracting complexity away and encapsulating details

Create advanced object-oriented designs using unique features of Python, such as descriptors

Eliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented design

Create Python-specific solutions using decorators and descriptors

Refactor code effectively with the help of unit tests

Build the foundations for solid architecture with a clean code base as its cornerstone

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

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Amazon verified reviews

Amazon Customer Feb 16, 2021

I'd describe myself as a proficient Python programmer but certainly no expert. I primarily use C/C++ but I've used Python for scripting/algorithms before. Fortunately, this book does a good job of teaching concepts in Python for both new and old users, as well as strong code design for any language.The book starts with a general introduction to good coding practices, then goes over the main features of Python before diving into how these coding practices apply to Python. The book shows lots of clear code examples and visualizations throughout its chapters. I think it does a really great job in getting the reader to think critically about code design, both in the abstract and in concrete implementation with Python.I was introduced to a lot of different terminology and features of Python; I intend to use the book both as a reference and as a launchpad for further self-learning. Definitely recommend if you want to strengthen your Python and code design skills!

Amazon Verified review

Jeff Mahoney Jul 25, 2022

I enjoyed this book as this is the sort of information you can only get from an experienced developer. Codecademy cannot teach you these principles. Although I’m a beginner programmer, I was still able to pick up a good amount of clean code techniques from this book (though the books seems to appeal to the intermediate level).

Amazon Customer Jun 05, 2021

Take it to the next leve

Sathya May 16, 2021

Full disclosure: I got a review copy of this for free.This is a great book for Python programmers who're looking at improving their skills. If you're looking at learning Python, this isn't for you. If you're a intermediate programmer looking to improve your code structing tools, this is a fantastic resource.The book starts with code formatting, meaning of clean code and generous references to PEP and why code formatting, doc strings and style guides are helpful - which is usually not dived into (usually most of them are like - do this, trust us). Also appreciated is a section on type consistency checking with mypy and setting up auto type checks with examples using Makefiles.Along the way, the book focuses on making your code more Pythonic with healthy references to slices, context managers, custom iterable objects, dunder methods , generators, yields and async code.Also notable is an entire chapter dedicated to design principles, unit testing, mocks and some examples on how to start testing with unittest and pytest frameworks. The book ends with couple of chapters dedicated to common design patterns and architecture and you're likely to refer to these chapters quite a lot of times as you implement the techniques in your programs.Overall a great book

Josh Michielsen May 15, 2021

Disclaimer: Packt sent me a copy of this book for the purposes of review. I was not paid for this review, nor have they asked me what to say.This is a great book for inexperienced developers looking to get into Python the right way. The author is knowledgable and introduces concepts in a very easy to understand manner. The book is definitely dense, however! I would recommend taking a first pass at this book, but leaving to on the desk as a reference text as you continue to learn.One of the things I really like about this book is that the author really focuses on teaching readers to write Python the way it was meant to be written. "Pythonic" code is one of those things that you need to see to understand what it is, but this book definitely gives a great demonstration of pythonic code. Part of writing Pythonic code is understanding context - and Mariano does a solid job of ensuring readers that there are contexts where practicality is more important than purity.Overall - whether you're new to programming, or you're already a programmer but looking to get into Python - give this book a go, I don't think you'll be disappointed.

Clean Code in Python: Develop maintainable and efficient code , Second Edition

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