Clean Code in Python: Develop maintainable and efficient code, 2nd Edition
von
Mariano Anaya
Verlag: Packt Publishing
Erschienen 2021 - Taschenbuch
422 S. Wie neu Exemplar. Es können Abweichungen in Auflage, Schutzumschlag oder Coverabbildung zum Abbildungsexemplar vorliegen. Bitte rechnen Sie mit möglichen gewissen Zustandsabweichungen. Selbstverständlich garantieren wir ein uneingeschränktes Rückgaberecht. Die Rechnung mit ausgewiesener Mehrwertsteuer wird zeitnah nach dem Versand der Bestellung als PDF-Dokument per E-Mail zugestellt. Das Buch könnte Gebrauchsspuren und Knicke aufweisen, ansonsten allgemein in gutem Zustand. Gegebenenfalls kann Namenseintrag tragen und das Titelbild oder die Auflage könnte abweichen. Kostenfreie Rücksendung. Die Rechnung mit ausgewiesener Mehrwertsteuer erhalten Sie bequem per E-Mail im PDF-Format.
Mehr anzeigen- Produktart:
- 📚 Bücher
- Autor(en):
- Anaya, Mariano
- Anbieter:
- Berg-Berg Bücherwelt Inh.Aksoy
- Bestell-Nr.:
- G12111430644
- Sprache:
- Englisch
- Katalog:
- Varia
- ISBN | EAN:
- 1800560214 | 9781800560215
- Zahlungsarten:
- Vorauskasse
Gebraucht, wie neu27,17 EUR
zzgl. 3,99 EUR Verpackung & Versand
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
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
Mariano Anaya is a software engineer who spends most of his time creating software with Python and mentoring fellow programmers. Mariano's principal areas of interest 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.
