Steven F. Lott Livres

Gain comprehensive insights into programming practices, and code portability and reuse to build flexible and maintainable apps using object-oriented principles Key Features Extend core OOP techniques to increase integration of classes created with Python Explore various Python libraries for handling persistence and object serialization Learn alternative approaches for solving programming problems with different attributes to address your problem domain Book Description Object-oriented programming (OOP) is a relatively complex discipline to master, and it can be difficult to see how general principles apply to each language's unique features. With the help of the latest edition of Mastering Objected-Oriented Python, you'll be shown how to effectively implement OOP in Python, and even explore Python 3.x. Complete with practical examples, the book guides you through the advanced concepts of OOP in Python, and demonstrates how you can apply them to solve complex problems in OOP. You will learn how to create high-quality Python programs by exploring design alternatives and determining which design offers the best performance. Next, you'll work through special methods for handling simple object conversions and also learn about hashing and comparison of objects. As you cover later chapters, you'll discover how essential it is to locate the best algorithms and optimal data structures for developing robust solutions to programming problems with minimal computer processing. Finally, the book will assist you in leveraging various Python features by implementing object-oriented designs in your programs. By the end of this book, you will have learned a number of alternate approaches with different attributes to confidently solve programming problems in Python. What you will learn Explore a variety of different design patterns for the __init__() method Learn to use Flask to build a RESTful web service Discover SOLID design patterns and principles Use the features of Python 3's abstract base Create classes for your own applications Design testable code using pytest and fixtures Understand how to design context managers that leverage the 'with' statement Create a new type of collection using standard library and design techniques Develop new number types above and beyond the built-in classes of numbers Who this book is for This book is for developers who want to use Python to create efficient programs. A good understanding of Python programming is required t..

This guide delves into modern Python programming, emphasizing key concepts such as data structures, design patterns, and effective object-oriented techniques. It aims to enhance the reader's understanding of Python through practical applications and examples, making it suitable for both beginners and experienced programmers looking to refine their skills. The focus on contemporary practices ensures that readers are well-equipped to tackle real-world programming challenges.

Explore the principles of functional programming in Python, emphasizing concise and expressive coding techniques. This guide covers essential concepts such as higher-order functions, immutability, and pure functions, providing practical examples and exercises to enhance your skills. Learn to leverage Python’s functional features to write cleaner, more efficient code, while also understanding the benefits of a functional approach in solving complex problems. Ideal for both beginners and experienced programmers looking to deepen their understanding of functional programming paradigms.

This collection offers practical Python recipes tailored for today's busy programmers. Each recipe addresses common challenges and provides clear, efficient solutions, allowing developers to enhance their coding skills and streamline workflows. With a focus on real-world applications, the book covers a variety of topics, making it a valuable resource for both beginners and experienced users looking to optimize their Python projects.

Explore the principles of functional programming through practical implementations in Python. The book emphasizes writing clean, efficient code by leveraging functions as first-class citizens, immutability, and higher-order functions. Readers will learn to apply these concepts to solve complex problems, enhance code readability, and improve maintainability. With hands-on examples and exercises, it guides both beginners and experienced programmers in adopting a functional mindset for better software development.

If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.

This book is designed for Python 2 developers who want to get to grips with Python 3 in a short period of time. It covers the key features of Python, assuming you are familiar with the fundamentals of Python 2.

If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.

The third edition of this cookbook offers over 130 new and updated recipes tailored for Python 3.12, focusing on practical applications. Readers will find enhanced coverage of graphics, visualizations, and managing dependencies, along with insights into virtual environments. This resource is designed to deepen Python skills through hands-on examples, making it ideal for both beginners and experienced programmers looking to refine their expertise.

This book enhances efficiency in tackling LeetCode challenges, making it a valuable resource for programmers looking to improve their problem-solving skills. Its practical approach helps users navigate complex coding problems more effectively, offering strategies and insights that can lead to better performance in coding interviews and competitions.