Types Of Design Patterns In Python
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Design Patterns in Python
This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python. A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring problem in software design. You will find a familiarity with Design Patterns very useful when planning, discussing, developing, managing and documenting your applications from now on and into the future. You will learn these Design Patterns. Creational - Factory - Abstract Factory - Builder - Prototype - Singleton Structural - Decorator - Adapter - Facade - Bridge - Composite - Flyweight - Proxy Behavioral - Command - Chain of Responsibility - Observer Pattern - Interpreter - Iterator - Mediator - Memento - State - Strategy - Template - Visitor. If you want a break from your computer and read from a book for a while, then this book is for you. *** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book *** Thanks, Sean Bradley
Python Programming with Design Patterns
Improve Your Python Code with Modern Object-Oriented Design Patterns To write clean, efficient, maintainable code, developers everywhere turn to design patterns. Now there's a Python-specific patterns guide that's friendly and practical enough for every Python developer, regardless of experience. Best-selling patterns author James W. Cooper presents visual, example-driven explanations of 23 proven patterns for writing superior object-oriented code. Through clear and intuitive code samples, he introduces modern techniques for creating Python objects that interact effectively in powerful, flexible programs. Python newcomers--including those moving from other languages--will find a succinct introduction designed to get them up to speed fast. Cooper's wide-ranging patterns coverage addresses abstract classes, multiple inheritance, GUI programming and widgets, graphical classes, drawing and plotting, math, databases, Python decorators, images, threads, iterators, creating executable code, and more. Throughout, his informal visual presentation makes patterns far easier to work with--so you can confidently build sophisticated programs that use Python's rich capabilities. Review the essentials of Python objects and visual programming Learn what design patterns are, and how they help you write better code Use creational patterns to enhance flexibility and avoid unnecessary complexity Apply structural patterns to ensure that program elements work together well in large programs Optimize communication between objects with behavioral patterns