Sakis Kasampalis – författare

Ensure your code is sleek, efficient and elegant by mastering powerful Python design patternsAbout This Book* Learn all about abstract design patterns and how to implement them in Python 3* Understand the structural, creational, and behavioral Python design patterns* Get to know the context and application of design patterns to solve real-world problems in software architecture, design, and application development* Discover how to simplify Design Pattern implementation using the power of Python 3Who This Book Is ForIf you have basic Python skills and wish to learn in depth how to correctly apply appropriate design patterns, this course is tailor made for you.What You Will Learn* Discover what design patterns are and how to apply them to writing Python* Implement objects in Python by creating classes and defining methods* Separate related objects into a taxonomy of classes and describe the properties and behaviors of those objects via the class interface* Understand when to use object-oriented features, and more importantly when not to use them* Get to know proven solutions to common design issues* Explore the design principles that form the basis of software design, such as loose coupling, the Hollywood principle, and the Open Close principle, among others* Use Structural Design Patterns and find out how objects and classes interact to build larger applications* Improve the productivity and code base of your application using Python design patterns* Secure an interface using the Proxy patternIn DetailPython is an object-oriented scripting language that is used in everything from data science to web development. Known for its simplicity, Python increases productivity and minimizes development time. Through applying essential software engineering design patterns to Python, Python code becomes even more efficient and reusable from project to project.This learning path takes you through every traditional and advanced design pattern best applied to Python code, building your skills in writing exceptional Python. Divided into three distinct modules, you'll go from foundational to advanced concepts by following a series of practical tutorials.Start with the bedrock of Python programming - the object-oriented paradigm. Rethink the way you work with Python as you work through the Python data structures and object-oriented techniques essential to modern Python programming. Build your confidence as you learn Python syntax, and how to use OOP principles with Python tools such as Django and Kivy.In the second module, run through the most common and most useful design patterns from a Python perspective. Progress through Singleton patterns, Factory patterns, Facade patterns and more all with detailed hands-on guidance. Enhance your professional abilities in in software architecture, design, and development.In the final module, run through the more complex and less common design patterns, discovering how to apply them to Python coding with the help of real-world examples. Get to grips with the best practices of writing Python, as well as creating systems architecture and troubleshooting issues.This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:* Python 3 Object-Oriented Programming - Second Edition by Dusty Phillips* Learning Python Design Patterns - Second Edition by Chetan Giridhar* Mastering Python Design Patterns by Sakis KasampalisStyle and approachAdvance your Python code through three distinct modules that each build on preceding content. Get the complete coverage of Python design patterns you need to write elegant and efficient code that's reusable and powerful.

Exploit various design patterns to master the art of solving problems using PythonKey FeaturesMaster the application design using the core design patterns and latest features of Python 3.7Learn tricks to solve common design and architectural challengesChoose the right plan to improve your programs and increase their productivityBook DescriptionPython is an object-oriented scripting language that is used in a wide range of categories. In software engineering, a design pattern is an elected solution for solving software design problems. Although they have been around for a while, design patterns remain one of the top topics in software engineering, and are a ready source for software developers to solve the problems they face on a regular basis. This book takes you through a variety of design patterns and explains them with real-world examples. You will get to grips with low-level details and concepts that show you how to write Python code, without focusing on common solutions as enabled in Java and C++. You'll also fnd sections on corrections, best practices, system architecture, and its designing aspects. This book will help you learn the core concepts of design patterns and the way they can be used to resolve software design problems. You'll focus on most of the Gang of Four (GoF) design patterns, which are used to solve everyday problems, and take your skills to the next level with reactive and functional patterns that help you build resilient, scalable, and robust applications. By the end of the book, you'll be able to effciently address commonly faced problems and develop applications, and also be comfortable working on scalable and maintainable projects of any size.What you will learnExplore Factory Method and Abstract Factory for object creationClone objects using the Prototype patternMake incompatible interfaces compatible using the Adapter patternSecure an interface using the Proxy patternChoose an algorithm dynamically using the Strategy patternKeep the logic decoupled from the UI using the MVC patternLeverage the Observer pattern to understand reactive programmingExplore patterns for cloud-native, microservices, and serverless architecturesWho this book is forThis book is for intermediate Python developers. Prior knowledge of design patterns is not required to enjoy this book.

Learn Python design patterns such as Observer, Proxy, Throttling, Dependency Injection, and Anti-Patterns to develop efficient, scalable applications.Key FeaturesMaster essential design principles to build robust software architecture with the latest features in Python 3.10Leverage concurrency, async patterns, and testing strategies for optimal performanceApply SOLID principles and advanced patterns to real-world Python projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionAs software systems become increasingly complex, maintaining code quality, scalability, and efficiency can be a daunting challenge. Mastering Python Design Patterns is an essential resource that equips you with the tools you need to overcome these hurdles and create robust, scalable applications.The book delves into design principles and patterns in Python, covering both classic and modern patterns, and apply them to solve daily challenges as a Python developer or architect.Co-authored by two Python experts with a combined experience of three decades, this new edition covers creational, structural, behavioral, and architectural patterns, including concurrency, asynchronous, and performance patterns. You'll find out how these patterns are relevant to various domains, such as event handling, concurrency, distributed systems, and testing. Whether you're working on user interfaces (UIs), web apps, APIs, data pipelines, or AI models, this book equips you with the knowledge to build robust and maintainable software. The book also presents Python anti-patterns, helping you avoid common pitfalls and ensuring your code remains clean and efficient.By the end of this book, you'll be able to confidently apply classic and modern Python design patterns to build robust, scalable applications.What you will learnMaster fundamental design principles and SOLID conceptsBecome familiar with Gang of Four (GoF) patterns and apply them effectively in PythonExplore architectural design patterns to architect robust systemsDelve into concurrency and performance patterns for optimized codeDiscover distributed systems patterns for scalable applicationsGet up to speed with testing patterns to ensure code reliability and maintainabilityDevelop modular, decoupled systems and manage dependencies efficientlyWho this book is forWith a focus on intermediate and advanced Python programmers, this book offers valuable insights into the best practices for software design, backed by real-world examples and decades of experience. The book is also an excellent resource for software architects and team leaders who want to improve code quality and maintainability across their projects. Prior Python proficiency, including syntax, data structures, and OOP will help you get the most out of this book.