Clean Code in Python : Refactor your legacy code base
Language: English
Published by Packt Publishing, 2018
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 62.64
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Getting the most out of Python to improve your codebase Key Features Save maintenance costs by learning to fix your legacy codebaseLearn the principles and techniques of refactoringApply microservices to your legacy systems by implementing practical techniques Book DescriptionPython 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 learnSet up tools to effectively work in a development environmentExplore how the magic methods of Python can help us write better codeExamine the traits of Python to create advanced object-oriented designUnderstand removal of duplicated code using decorators and descriptorsEffectively refactor code with the help of unit testsLearn to implement the SOLID principles in Python.…
Seller Inventory # 9781788835831
- Title
- Clean Code in Python : Refactor your legacy code base
- Author
- Mariano Anaya
- Publisher
- Packt Publishing
- Publication year
- 2018
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1788835832
- ISBN 13
- 9781788835831
- Item weight
- 622 grams
- Dimensions
- 235x191x19 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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