Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles
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Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles
Transform complex architectural challenges into digestible, implementable solutions.
Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles
Nr produktu: 145081270

Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles

Nr produktu: 145081270

PLN 196

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Co wyróżnia ten produkt

Proven Principles
Utilizes established architectural principles to ensure your applications are both scalable and maintainable, helping developers to build robust software that adapts to changing requirements.
Python-Focused
Tailored specifically for Python developers, combining language-specific best practices to enhance productivity and code quality while leveraging the full capabilities of this popular programming language.
Scalable Solutions
Equips developers with the knowledge to implement scalable applications, ensuring long-term growth and adaptability without compromising performance or user experience.

Szczegóły Produktu

Shop Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles online at a best price in Polska. 183664289X
Publisher Packt Publishing
Publication date June 20, 2025
Language English
Print length 362 pages
ISBN-10 183664289X
ISBN-13 978-1836642893
Item Weight 1.37 pounds (620 grams)
Dimensions 7.5 x 0.82 x 9.25 inches (19.1 x 2.1 x 23.5 cm)

Dla kogo jest przeznaczony?

Suitable For
  • Aspiring Developers

    Ideal for those wishing to enhance their Python skills by learning architecture principles for better app design.

  • Experienced Programmers

    Beneficial for seasoned developers wanting to implement cleaner, more maintainable systems in their projects.

  • Software Architects

    Essential for architects aiming to apply solid principles to create scalable architectures for complex applications.

Not Suitable For
  • Beginners Only

    Not suitable for complete beginners with no programming experience, as the concepts might be overwhelming.

OPIS PRODUKTU

Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles

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Pytania i odpowiedzi klientów

  • pytanie: What is the main concept of Clean Architecture as discussed in the book?

    odpowiedź: The main concept of Clean Architecture is to separate the software into distinct layers, each with its own responsibility, such as the user interface, business logic, and data access. This separation ensures that the application remains flexible and independent of frameworks, allowing for easier testing and maintenance. By following proven architectural principles, readers can implement systems that are easier to evolve over time while minimizing dependencies.
  • pytanie: Who is the target audience for 'Clean Architecture with Python'?

    odpowiedź: The target audience for 'Clean Architecture with Python' includes software developers, architects, and technical leads who are looking to enhance their skills in creating robust applications using Python. Beginners may also find it beneficial as it lays a solid foundation in the best practices of software design and architecture. Ultimately, it's suitable for anyone keen on understanding how to build scalable systems.
  • pytanie: What are some practical use cases for applying Clean Architecture principles?

    odpowiedź: Clean Architecture principles can be applied in various scenarios such as developing enterprise applications, microservices, or even web applications that require a strong foundation for scalability and maintainability. For instance, a complex e-commerce platform could benefit from these principles by structuring the codebase into layers, enabling teams to work on different parts independently without affecting other functionalities. This approach is essential for applications that intend to handle frequent updates or changes in requirements.
  • pytanie: How does Clean Architecture help with software testing?

    odpowiedź: Clean Architecture improves software testing by promoting decoupled components, which can be tested in isolation. With clear boundaries between layers, developers can create unit tests for individual modules without the need to incorporate external dependencies. This modularity not only aids in ensuring code quality but also speeds up the testing process, allowing for faster feedback. Consequently, developers can deliver a more reliable product before deploying it.
  • pytanie: Can Clean Architecture be implemented in existing projects?

    odpowiedź: Yes, Clean Architecture can be implemented in existing projects, although it may require some refactoring. By gradually restructuring the codebase to fit into the layered architecture model, teams can enhance maintainability without a complete rewrite. This approach also allows developers to iterate on their existing applications, making incremental improvements while ensuring that the core functionality remains intact.
  • pytanie: What tools and frameworks complement Clean Architecture in Python?

    odpowiedź: Several tools and frameworks can complement Clean Architecture in Python, including Flask and Django for web frameworks, SQLAlchemy for data access, and pytest for testing. These tools help to achieve the desired separation of concerns, simplify development, and test different layers effectively. For instance, using Flask allows developers to build the application layer while maintaining a clean interface between the web layer and the business logic.
  • pytanie: What architectural styles are discussed in this book?

    odpowiedź: The book discusses various architectural styles, including layered architecture, microservices, and hexagonal architecture. Each style offers different benefits and trade-offs depending on the project's needs. For example, microservices allow for separate deployment and scaling, while hexagonal architecture emphasizes the separation of the core business logic from external systems. Understanding these styles enables readers to choose the best approach for their specific application requirements.
  • pytanie: How does the book address potential pitfalls in Clean Architecture?

    odpowiedź: The book addresses potential pitfalls by discussing common mistakes developers make when implementing Clean Architecture, such as overengineering or misapplying the principles. It emphasizes the importance of balance in applying architectural patterns that suit the project's context rather than adhering rigidly to theoretical ideals. By learning from these challenges, readers can avoid common traps and create more effective architectures tailored to their needs.
  • pytanie: Where can I buy Clean Architecture with Python?

    odpowiedź: You can buy 'Clean Architecture with Python: Implement scalable and maintainable applications using proven architectural principles' at Ubuy in Poland. Ubuy offers a user-friendly platform to browse and purchase the book, ensuring you have access to this invaluable resource for better software design.

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Zalety

  • Clear and practical examples
  • Covers essential architectural principles
  • Suitable for beginners and experts
  • Helps in scalable application design
  • Well-organized and easy to follow

Wady

  • Occasional jargon that may confuse beginners.

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PLN 196

Zamów teraz i otrzymaj około Wtorek, Sierpień 04

Ilość:

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Zgodność z PCI DSS oraz certyfikat ISO 27001:2022, szyfrowane płatności i pełna ochrona kupującego przy każdym zamówieniu.

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Cechy i zalety

  • Learn Clean Architecture through real-world examples and exercises.
  • Optimizes system componentization, reducing maintenance burdens and complexity.
  • Applies Clean Architecture concepts to new projects and legacy code refactoring.
  • Enhances ability to respond to changing requirements in Python projects.
  • Includes free PDF eBook with print or Kindle purchase.
  • Perfect for intermediate and senior Python developers looking to formalize their knowledge.

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