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  • Clean Code in Python: Refactor your legacy code base

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Clean Code in Python: Refactor your legacy code base

by Mariano Anaya (Author)
4.3 out of 5 stars (23)
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Getting the most out of Python to improve your codebase

Key Features

  • Save maintenance costs by learning to fix your legacy codebase
  • Learn the principles and techniques of refactoring
  • Apply microservices to your legacy systems by implementing practical techniques

Book Description

Python is currently used in many different areas such as software construction, systems administration, and data processing.

In all of these areas, experienced professionals can find examples of inefficiency, problems, and other perils, as a result of bad code. After reading this book, readers will understand these problems, and more importantly, how to correct them.

The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. You will learn to implement the SOLID principles in Python and use decorators to improve your code. The book delves more deeply into 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 software problems by implementing design patterns in your code. In the final chapter we break down a monolithic application to a microservice one, starting from the code as the basis for a solid platform.

By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code.

What you will learn

  • Set up tools to effectively work in a development environment
  • Explore how the magic methods of Python can help us write better code
  • Examine the traits of Python to create advanced object-oriented design
  • Understand removal of duplicated code using decorators and descriptors
  • Effectively refactor code with the help of unit tests
  • Learn to implement the SOLID principles in Python
Read more
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  1. ISBN-10
    1788835832
  2. ISBN-13
    978-1788835831
  3. Publisher
    Packt Publishing
  4. Publication date
    August 29, 2018
  5. Language
    English
  6. Dimensions
    7.5 x 0.75 x 9.25 inches
  7. Print length
    332 pages
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Clean Code in Python: Develop maintainable and efficient code, 2nd Edition
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Editorial Reviews

About the Author

Mariano Anaya Mariano Anaya is a software engineer who spends most of his time creating software with Python and mentoring fellow programmers. Mariano's main areas of interests besides Python are software architecture, functional programming, distributed systems, and speaking at conferences. He was a speaker at Euro Python 2016 and 2017. To know more about him, you can refer to his GitHub account with the username rmariano. His speakerdeck username is rmariano.

Product details

  • Publisher ‏ : ‎ Packt Publishing
  • Publication date ‏ : ‎ August 29, 2018
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 332 pages
  • ISBN-10 ‏ : ‎ 1788835832
  • ISBN-13 ‏ : ‎ 978-1788835831
  • Item Weight ‏ : ‎ 1.26 pounds
  • Dimensions ‏ : ‎ 7.5 x 0.75 x 9.25 inches
  • Best Sellers Rank: #2,299,677 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.3 out of 5 stars (23)

About the author

Follow authors to get new release updates, plus improved recommendations.
Mariano Anaya

Mariano Anaya

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Full content visible, double tap to read brief content.

Mariano Anaya is a software engineer who spends most of his time creating software solutions with Python, and mentoring fellow programmers. Mariano's main areas of interests besides Python are Linux, software architecture, functional programming, distributed systems, and speaking at conferences.

Mariano has many years of experience with Python. He has been a speaker at Euro Python 2016 and 2017, and FOSDEM 2019, and is actively participating in the Python community events.

In the past, he has been a teacher assistant at UTN (his alma mater) and whilst now he lives in Barcelona, his passion for teaching still drives his career in different ways.

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Customer reviews

4.3 out of 5 stars
23 global ratings
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Top reviews from the United States

  • Cornelia Hollaway
    5 out of 5 stars
    Birthday Present
    Reviewed in the United States on August 28, 2025
    Format: Paperback
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    I was very happy with the product. Thank you ☺️

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  • Ivan and Zorro
    5 out of 5 stars
    If you are looking to move beyond code cookbooks
    Reviewed in the United States on January 12, 2021
    Format: Paperback
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    With so many Python books out there it’s hard to know which are worthwhile, particularly if you want to move beyond basics. This book is highly recommended for this category of Python programmer. It’s a must read for people working in agile development teams. It is well organized and written, containing material not treated elsewhere, or at least not in a single volume. Writing clean code goes beyond “having good documentation”. At a certain point this good documentation becomes more of a distraction than anything, particularly in Python. Well written Python should be the documentation minimalist’s dream and that is the main idea throughout this book: how to write efficient, properly documented Python code that is easily maintainable, by ourselves and other developers. The authors are not simply talking about code linting or analyzers, it’s more like the Zen of Python. They include examples of moving from some code to better code. The focus is on the readability of code since so many developers spend their time reading scads of code to add a simple feature, but there are also many examples of interesting ways to get things done in Python.

    7 people found this helpful
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Top reviews from other countries

  • Artur Baruchi
    5 out of 5 stars
    Nice book, great content - lack of examples
    Reviewed in Brazil on November 1, 2020
    Format: Kindle
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    This book is great to improve OOP skills in Python. It gives you a view about what can be done in Python and good practices to follow when programming in Python. Also, the way the author involve while you are reading the book is very good and the pieces fit together nicely. My concern about the book is the lack of examples, don't get me wrong, the book has a good level of code, but I think that examples should be more didactic. Some of them, I needed to read and re-read several times to understand and get the idea.

    Anyway, is a great book and I really recommend it.

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