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

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Clean Code

This title shows the process of cleaning code. Rather than just illustrating the end result, or just the starting and ending state, the author shows how several dozen seemingly small code changes can positively impact the performance and maintainability of an application code base.

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Domain-driven Design

"Domain-Driven Design" incorporates numerous examples in Java-case studies taken from actual projects that illustrate the application of domain-driven design to real-world software development.

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