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Introduction to Design Patterns with Python
Ashish Katri
a year ago
Table of Contents
- Introduction.
- Structure of a Design Pattern
1. Pattern Name
2. Intent/Motive
3. Applicability
4. Participants and consequences
- Why Python?
- Benefits of Using Design Pattern
Introduction
Design
patterns are used to represent the pattern used by developers to create
software or web application. These patterns are selected based on the
requirement analysis. The patterns describe the solution to the problem, when
and where to apply the solution, and the consequences of the implementation.
Structure of a Design Pattern
Let’s us try to understand Structure of a design pattern with the help of the
flow chart:
1. Pattern Name
- It describes the pattern in a short and effective manner.
2. Intent/Motive
- It describes what the pattern does.
3. Applicability
- It describes the list of situations where the pattern is applicable.
4. Participants and consequences
- Participants include classes and objects that participate in the design pattern with a list of consequences that exist with the pattern.
Why Python?
Any
programming language is good for patterns. In fact, patterns should be
considered in the context of any given programming language. Both the patterns,
language syntax and nature impose limitations on our programming. The
limitations that come from the language syntax and language nature (dynamic,
functional, object oriented, and the like) can differ, as can the reasons
behind their existence. The limitations coming from patterns are there for a
reason, they are purposeful. That’s the basic goal of patterns; to tell us how
to do something and how not to do it.
In
short, Python is an open source
scripting language. It has libraries that support a variety of design patterns.
The syntax of python is easy to understand and uses English keywords.
Python
provides support for the list of design patterns that are mentioned below.
These design patterns will be used throughout this tutorial –
- Model View Controller Pattern
- Singleton pattern
- Factory pattern
- Builder Pattern
- Prototype Pattern
- Facade Pattern
- Command Pattern
- Adapter Pattern
- Prototype Pattern
- Decorator Pattern
- Proxy Pattern
- Chain of Responsibility Pattern
- Observer Pattern
- State Pattern
- Strategy Pattern
- Template Pattern
- Flyweight Pattern
- Abstract Factory Pattern
- Object Oriented Pattern
Benefits of Using Design Pattern
Following
are the different benefits of design pattern −
- Patterns provide the developer a selection of tried and tested solutions for the specified problems.
- All design patterns are language neutral.
- Patterns help to achieve communication and maintain good documentation.
- It includes a record of accomplishment to reduce any technical risk to the project.
- Design patterns are highly flexible to use and easy to understand.
I hope you enjoyed reading this article and finally, you came
to know about Introduction to Design Patterns with Python.
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