Python Oop Step By Step A Practical Guide With Examples
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Python OOP Step by Step: A Practical Guide with Examples
This book provides a comprehensive and systematic introduction to Python programming with a focused emphasis on object-oriented principles. It offers detailed guidance on the core aspects of Python, covering everything from fundamental syntax and data structures to more advanced topics like class design, inheritance, and polymorphism. The content is arranged logically to build a strong foundation in programming followed by an in-depth exploration of object-oriented methodologies. The material is divided into distinct sections that progressively introduce essential programming concepts before transitioning to sophisticated applications. Topics such as configuring a development environment, understanding Python’s built-in constructs, and developing clear, maintainable code prepare the reader for advanced discussions on classes and objects. Subsequent sections elaborate on inheritance models, method overriding, and design patterns while also addressing the intricacies of testing and debugging within object-oriented systems. Ideal for beginners and intermediate programmers, this guide is both practical and detailed, ensuring that readers not only learn theoretical principles but also understand how to apply them in real-world projects. By following structured modules and hands-on examples, readers gain the proficiency required to develop robust Python applications and navigate the challenges of modern software development with clarity and precision.
Python Object-Oriented Programming
Author: Steven F. Lott
language: en
Publisher: Packt Publishing Ltd
Release Date: 2021-07-02
A comprehensive guide to exploring modern Python through data structures, design patterns, and effective object-oriented techniques Key Features Build an intuitive understanding of object-oriented design, from introductory to mature programs Learn the ins and outs of Python syntax, libraries, and best practices Examine a machine-learning case study at the end of each chapter Book Description Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. 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 comprehensive, illustrative 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. In addition, the book also features an in-depth look at Python's exception handling and how functional programming intersects with OOP. Two very powerful automated testing systems, unittest and pytest, are introduced. 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 methods Extend class functionality using inheritance Use exceptions to handle unusual situations cleanly Understand when to use object-oriented features, and more importantly, when not to use them Discover several widely used design patterns and how they are implemented in Python Uncover the simplicity of unit and integration testing and understand why they are so important Learn to statically type check your dynamic code Understand concurrency with asyncio and how it speeds up programs Who 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.
Automating Tasks with Python for New Developers: A Practical Guide with Examples
Automating Tasks with Python for New Developers: A Practical Guide with Examples equips readers with the essential skills required to streamline repetitive tasks and optimize workflow efficiency through Python programming. Designed for individuals with little or no prior coding experience, this book provides clear, step-by-step guidance from Python fundamentals to the practical implementation of automation in both personal and professional settings. The material covers core topics such as basic syntax, data structures, control flow, user interaction, and error handling to ensure a solid programming foundation. As the chapters progress, the book introduces practical automation scenarios including file and folder organization, scheduling scripts, web automation, data extraction from spreadsheets, and sending automated notifications. Each project is accompanied by detailed examples, making complex processes accessible and empowering readers to adapt solutions to their unique requirements. The inclusion of optional advanced topics, such as object-oriented programming, provides pathways for readers to expand their technical repertoire as their confidence grows. Beyond technical instruction, the book emphasizes best practices for organizing code, managing dependencies, collaborating with others, and version control. Resources and guidance are provided for continued learning, participation in the Python community, and further skill development. By the end of this guide, readers will possess the practical knowledge to automate everyday processes and a strong foundation for future programming and automation projects.