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Open Preview Clean Code in Python: Refactor your legacy codebase by Mariano Anaya (Goodreads Author) 4.15 · Rating details · 78 ratings · 7 reviews Get A Copy Kindle Store $28.49 Amazon Stores Libraries Paperback, 337 pages Published September 11th 2018 by Packt Publishing - ebooks Account More Details Edit Details Reader Q&A 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 Clean Code is divided into three parts. The first describes the principles, patterns, and practices of writing clean code. The second part consists of several case studies of increasing complexity. Each case study is an exercise in cleaning up code-of transforming a code base that has some problems into one that is sound and efficient. Clean Code in Python: Develop maintainable and efficient code, Edition 2 - Ebook written by Mariano Anaya. Build the foundations for solid architecture with a clean code base as its cornerstone; Clean Code in Python: Refactor your legacy code base. Mariano Anaya. Computers & technology. 3.0 star. $35.99 $22.39. Abusing the Internet of Things: Blackouts, Freakouts, and Stakeouts PDF/EPUb by Nitesh Dhanjani. Adobe After Effects CC Classroom in a Book (2015 release) PDF/EPUb by Lisa Fridsma. Adobe After Effects CC Classroom in a Book PDF/EPUb by Adobe Creative Team. code in python download ebook pdf epub tuebl mobi. why clean code smells fields not defining state. clean code in python refactor your legacy code base. clean code download ebook pdf epub tuebl mobi. clean code in python mariano anaya. clean code in python refactor your legacy code base. code refactoring best practices when and when not to do. By the end of the book, you will be proficient in applying industry approved coding practices to design clean, sustainable and readable Python code. Publication date: August 2018 Publisher Packt Pages 332 ISBN 9781788835831 Download code from GitHub Introduction, Code Formatting, and Tools