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Networking and concurrency are integral parts of modern software development. Handling I/O operations efficiently, running parallel tasks, and communicating between distributed systems pose numerous challenges. Luckily, Python’s rich ecosystem offers various libraries and packages that address these issues.
Combined with the concept of polymorphism, Python becomes an excellent choice for developing scalable and reliable networking and concurrency applications.
In this article, you will learn how to apply polymorphism in networking and concurrency scenarios using Python. First, we will discuss the basics of polymorphism and introduce relevant libraries. Later, we will walk through examples illustrating how to utilize these concepts effectively.
Polymorphism in Python
Polymorphism refers to the idea that an entity — such as a function, operator, or object — can adopt multiple forms or appearances. In Python, polymorphism manifests mainly through inheritance, operator overloading, and duck typing.
