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Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries
This fourth edition builds upon classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. You’ll learn how to tackle a project using OOP from all its different perspectives and see how a design evolves over time.
Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries
Item #: 37076925

Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries

Item #: 37076925

JOD 44

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This fourth edition builds upon classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software. You’ll learn how to tackle a project using OOP from all its different perspectives and see how a design evolves over time.
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What Stands Out

Comprehensive Guide
Offers an in-depth exploration of object-oriented programming principles, ensuring readers build robust applications with best practices and maintainable code structures, essential for both beginners and experienced developers.
Updated Content
The 4th edition includes the latest Python features and enhancements, ensuring readers stay current with modern programming trends and techniques, making it relevant for today's development landscape.
Practical Examples
Features real-world examples and case studies that facilitate hands-on learning, allowing readers to apply concepts immediately and effectively, bridging the gap between theory and practical application.

Product Details

Shop Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries online at a best price in Jordan. B094DJYLTV
Publisher Packt Publishing
Publication date July 2, 2021
Edition 4th ed.
Language English
Print length 714 pages
ISBN-10 1801077266
ISBN-13 978-1801077262
Item Weight 2.66 pounds (1.21 kg)
Dimensions 7.5 x 1.61 x 9.25 inches (19.1 x 4.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Developers

    New developers looking to strengthen their understanding of object-oriented programming in Python will benefit greatly.

  • Intermediate Programmers

    Programmers with basic Python knowledge seeking to build more robust applications will find valuable insights and practices.

  • Software Engineers

    Professionals wanting to implement effective object-oriented principles and design patterns in their projects will gain practical skills.

Not Suitable For
  • Complete Beginners

    Individuals with no programming background may find the concepts too advanced without prior foundational knowledge.

Product Description

Python Object-Oriented Programming: Build robust and maintainable object-oriented Python applications and libraries

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Object-Oriented Design Editorial Review

The reception for this product is mixed. Some customers feel that the book is difficult to follow, with pages printed cheaply in black and white. Others, who are more experienced in Python and OOP, see this book as an opportunity to take their programming knowledge to the next level. The content is quite dry, and it would require a high level of concentration to follow the exercises and sample code. Some readers found the examples explained in the book abstract, and therefore, hard to follow. However, others found it beneficial to have a book covering modern data types, like NamedTuple, TypedDict, tuples, etc., but found the examples too complicated. The book is mostly praised by the ones who have learned from other books by the same author. They praised the author's tips on writing nice tests, the interesting chapters on Concurrency and Design Patterns, and how the book teaches the differences between OOP and functional programming. The book is not recommended for beginners in Python programming, needing a book with more simplistic instructions.

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Pros

  • Deep understanding of Python and OOP
  • Takes programming knowledge to the next level
  • Covers modern data types
  • Tips for writing nice tests and interesting chapters on concurrency and design patterns
  • Theory-heavy for those looking for a deep dive

Cons

  • Poor print quality in black and white

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