9781800560215 - Clean Code in Python: Develop maintainable and efficient code, 2nd Edition de Mariano Anaya (24 resultados)

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Paperback. Condición: New. Write professional, scalable, and maintainable Python code by applying industry-approved clean coding principles. Learn to refactor, implement SOLID principles, and structure code efficiently using the latest features in Python 3.9Key FeaturesEnhance your coding skills using the new features introduced in Python 3.9Implement the refactoring techniques and SOLID principles in PythonApply microservices to your legacy systems by implementing practical techniquesBook DescriptionExperienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code.This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library 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. The book discusses object-oriented programming in Python and 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.What you will learnSet up a productive development environment by leveraging automatic toolsLeverage the magic methods in Python to write better code, abstracting complexity away and encapsulating detailsCreate advanced object-oriented designs using unique features of Python, such as descriptorsEliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented designCreate Python-specific solutions using decorators and descriptorsRefactor code effectively with the help of unit testsBuild the foundations for solid architecture with a clean code base as its cornerstoneWho this book is forThis book is intended for software engineers, team leads, and architects who want to write Pythonic, scalable, and maintainable code. It is ideal for professionals looking to improve code quality, enhance testability, and refactor large-scale projects efficiently. A basic understanding of Python and object-oriented programming is recommended.

Paperback. Condición: New. Write professional, scalable, and maintainable Python code by applying industry-approved clean coding principles. Learn to refactor, implement SOLID principles, and structure code efficiently using the latest features in Python 3.9Key FeaturesEnhance your coding skills using the new features introduced in Python 3.9Implement the refactoring techniques and SOLID principles in PythonApply microservices to your legacy systems by implementing practical techniquesBook DescriptionExperienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code.This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library 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. The book discusses object-oriented programming in Python and 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.What you will learnSet up a productive development environment by leveraging automatic toolsLeverage the magic methods in Python to write better code, abstracting complexity away and encapsulating detailsCreate advanced object-oriented designs using unique features of Python, such as descriptorsEliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented designCreate Python-specific solutions using decorators and descriptorsRefactor code effectively with the help of unit testsBuild the foundations for solid architecture with a clean code base as its cornerstoneWho this book is forThis book is intended for software engineers, team leads, and architects who want to write Pythonic, scalable, and maintainable code. It is ideal for professionals looking to improve code quality, enhance testability, and refactor large-scale projects efficiently. A basic understanding of Python and object-oriented programming is recommended.

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Paperback. Condición: New. Write professional, scalable, and maintainable Python code by applying industry-approved clean coding principles. Learn to refactor, implement SOLID principles, and structure code efficiently using the latest features in Python 3.9Key FeaturesEnhance your coding skills using the new features introduced in Python 3.9Implement the refactoring techniques and SOLID principles in PythonApply microservices to your legacy systems by implementing practical techniquesBook DescriptionExperienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code.This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library 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. The book discusses object-oriented programming in Python and 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.What you will learnSet up a productive development environment by leveraging automatic toolsLeverage the magic methods in Python to write better code, abstracting complexity away and encapsulating detailsCreate advanced object-oriented designs using unique features of Python, such as descriptorsEliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented designCreate Python-specific solutions using decorators and descriptorsRefactor code effectively with the help of unit testsBuild the foundations for solid architecture with a clean code base as its cornerstoneWho this book is forThis book is intended for software engineers, team leads, and architects who want to write Pythonic, scalable, and maintainable code. It is ideal for professionals looking to improve code quality, enhance testability, and refactor large-scale projects efficiently. A basic understanding of Python and object-oriented programming is recommended.

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Paperback. Condición: New. Write professional, scalable, and maintainable Python code by applying industry-approved clean coding principles. Learn to refactor, implement SOLID principles, and structure code efficiently using the latest features in Python 3.9Key FeaturesEnhance your coding skills using the new features introduced in Python 3.9Implement the refactoring techniques and SOLID principles in PythonApply microservices to your legacy systems by implementing practical techniquesBook DescriptionExperienced professionals in every field face several instances of disorganization, poor readability, and testability due to unstructured code.This second edition has been updated to reflect new best practices in Python 3.9, helping developers write professional, scalable, and maintainable code. It introduces advanced object-oriented design, decorators, descriptors, and refactoring strategies using SOLID principles. Whether modernizing legacy projects or building new applications, this book provides practical techniques to write cleaner and more efficient Python code using the Python standard library 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. The book discusses object-oriented programming in Python and 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.What you will learnSet up a productive development environment by leveraging automatic toolsLeverage the magic methods in Python to write better code, abstracting complexity away and encapsulating detailsCreate advanced object-oriented designs using unique features of Python, such as descriptorsEliminate duplicated code by creating powerful abstractions using software engineering principles of object-oriented designCreate Python-specific solutions using decorators and descriptorsRefactor code effectively with the help of unit testsBuild the foundations for solid architecture with a clean code base as its cornerstoneWho this book is forThis book is intended for software engineers, team leads, and architects who want to write Pythonic, scalable, and maintainable code. It is ideal for professionals looking to improve code quality, enhance testability, and refactor large-scale projects efficiently. A basic understanding of Python and object-oriented programming is recommended.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Clean Code in Python, Second Edition will help you understand the problems that arise due to inefficient code formatting, and more importantly, demonstrate how to correct them.&Uumlber den AutorrnrnMariano Anaya Mariano Anaya is a software .

Taschenbuch. Condición: Neu. Clean Code in Python - Second Edition | Develop maintainable and efficient code | Mariano Anaya | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781800560215 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Tackle inefficiencies and errors the Pythonic way Key Features: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 Book 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. 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 Who this Book is 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.