Python Object Oriented Programming Build by Steven Lott (23 results)

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Taschenbuch. Condition: Neu. Python Object-Oriented Programming - Fourth Edition | Build robust and maintainable object-oriented Python applications and libraries | Steven F. Lott (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2021 | Packt Publishing | EAN 9781801077262 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. Python Object-Oriented Programming - Fifth Edition | Learn how and when to apply OOP principles to build scalable and maintainable Python applications | Steven F. Lott (u. a.) | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781836642596 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This hands-on guide empowers Python developers to write clean, production-ready code using real-world OOP, design patterns, and concurrency tools. Fully updated for Python 3.13 with new type hinting and modern software engineering practices.Key Features: Master OOP fundamentals with hands-on examples and expert insights Learn design patterns and type hinting with real-world Python 3.13 code Develop scalable programs using testing and concurrency best practices Purchase of the print or Kindle book includes a free PDF Elektronisches BuchBook Description:Learn to write effective, maintainable, and scalable Python applications by mastering object-oriented programming with this updated fifth edition. Whether you're transitioning from scripting to structured development or refining your OOP skills, this book offers a clear, practical path forward.You'll explore Python's approach to OOP, from class creation and inheritance to polymorphism and abstraction, while discovering how to make smarter decisions about when and how to use these tools. You'll apply what you learn through hands-on examples and exercises.Updated for Python 3.13, this edition simplifies complex topics such as abstract base classes, testing with unittest and pytest, and async programming with asyncio. It introduces a new chapter on Python's type hinting ecosystem-crucial for modern Python development.Written by long-time Python experts Steven Lott and Dusty Phillips, this edition emphasizes clarity, testability, and professional software engineering practices. It helps you move beyond scripting to building well-structured, production-ready Python systems.By the end of this book, you'll be confident in applying OOP principles, design patterns, type hints, and concurrency tools to create robust and maintainable Python applications.What You Will Learn: Write Python classes and implement object behaviors Apply inheritance, polymorphism, and composition Understand when to use OOP-and when not to Use type hints and perform static and runtime checks Explore common and advanced design patterns in Python Write unit and integration tests with unittest and pytest Implement concurrency with asyncio, futures, and threads Refactor procedural code into well-designed OOP structuresWho this book is for:Python developers who want to deepen their understanding of object-oriented programming to write maintainable, scalable, and professional-grade code. Ideal for developers transitioning from scripting to software engineering or those coming from other OOP languages looking to master Python's idiomatic approach. Basic Python knowledge is required.Table of Contents Object-Oriented Design Objects in Python When Objects Are Alike Expecting the Unexpected When to Use Object-Oriented Programming Abstract Base Classes and Operator Overloading Python Type Hints Python Data Structures The Intersection of Object-Oriented and Functional Programming The Iterator Pattern Common Design Patterns Advanced Design Patterns Testing Object-Oriented Programs Concurrency.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniquesKey Features:Build an intuitive understanding of object-oriented design, from introductory to mature programsLearn the ins and outs of Python syntax, libraries, and best practicesExamine a machine-learning case study at the end of each chapterBook Description:Python Object-Oriented Programming, Fourth Edition dives deep into the various aspects of OOP, Python as an OOP language, common and advanced design patterns, and hands-on data manipulation and testing of more complex OOP systems. These concepts are consolidated by open-ended exercises, as well as a real-world case study at the end of every chapter, newly written for this edition. All example code is now compatible with Python 3.9+ syntax and has been updated with type hints for ease of learning.Steven and Dusty provide a friendly, comprehensive tour of important OOP concepts, such as inheritance, composition, and polymorphism, and explain how they work together with Python's classes and data structures to facilitate good design. UML class diagrams are generously used throughout the text for you to understand class relationships. Beyond the book's focus on OOP, it features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Not one, but two very powerful automated testing systems, unittest and pytest, are introduced in this book. The final chapter provides a detailed discussion of Python's concurrent programming ecosystem.By the end of the book, you will have a thorough understanding of how to think about and apply object-oriented principles using Python syntax and be able to confidently create robust and reliable programs.What You Will Learn:Implement objects in Python by creating classes and defining methodsExtend class functionality using inheritanceUse exceptions to handle unusual situations cleanlyUnderstand when to use object-oriented features, and more importantly, when not to use themDiscover several widely used design patterns and how they are implemented in PythonUncover the simplicity of unit and integration testing and understand why they are so importantLearn to statically type check your dynamic codeUnderstand concurrency with asyncio and how it speeds up programsWho this book is for:If you are new to object-oriented programming techniques, or if you have basic Python skills and wish to learn how and when to correctly apply OOP principles in Python, this is the book for you. Moreover, if you are an object-oriented programmer coming from other languages or seeking a leg up in the new world of Python, you will find this book a useful introduction to Python. Minimal previous experience with Python is necessary.