Facade works as an abstraction layer, over the underlying complex system. The client communicates with the facade, and the facade communicates with the subsystems. In this article, we discuss the implementation of the Facade Pattern in Python.
Decorator pattern is used to add some additional responsibilities to an object dynamically. We can add some new tasks, checking, etc. before and/or after the original functionality of the the object. Using the Decorator pattern we can extend the behavior, with property transparency, and without affecting other objects. In this article, we discuss the implementation of the Decorator Pattern in Python.
In composite pattern we use the same interface for the same object and composition of objects. This way we can treat and use the individual item object and item list/composition of object exactly the same way. In this article, we discuss the implementation of the Composite Pattern in Python.
Bridge pattern is used to separate/decouple the abstraction from the implementation, so that we can change those separately. The bridge pattern works as the communication for those two separate parts. In this article, we discuss the implementation of the Bridge Pattern in Python.
Prototype pattern enables us to create an object from an existing object(by copying or cloning it), rather than creating an object from scratch. This process saves the overhead of the initialization process required for creating a new object from scratch. In this article, we discuss the implementation of the Prototype Pattern in Python.
Builder design pattern helps us by providing a system to construct complex objects, step by step. Especially when an object has multiple varying parts, and we need an easy way to set up those parts. Where other patterns like the Factory pattern, construct an object in a single step, the Builder pattern enables multi-step build. Builder pattern encapsulates the complexity of the complex multi-step build. In this article, we discuss the implementation of the Builder Pattern in Python.
Abstract factory pattern works as a logical group for the Factory pattern. Abstract factory is used to generate multiple types of factories, and those factories are used to generate the desired item objects. In this article, we discuss the implementation of the Abstract Factory Pattern in Python.
Factory design pattern is used, so that a client(the client code) can provide some criteria and and ask for an object. And the factory will generate the object based on the provided criteria and return that. In this article, we discuss the implementation of the Factory Pattern in Python.
The Singleton Pattern is used to put restrictions on object creation, so that we can instantiate a single object of the class. Every time we try to instantiate a class, it will return the same object. In this article, we are discussing the implementation of the Singleton Pattern in Python.
Here we are discussing the implementation of Server-Server Events(SSE) using Python, specifically using the Flask framework. We are discussing 2 ways to implement SSE in Flask-Using Flask Features (without any extra package) and using Flask-SSE package.