Dependency Injection in Python
<p>Python’s growing popularity has resulted in the development of larger and more intricate projects. This expansion has driven developers to explore high-level software design patterns, such as those in domain-driven design (DDD).</p>
<p>However, implementing these patterns in Python can pose challenges.</p>
<p>This hands-on series is designed to equip Python developers with practical examples, emphasizing tried-and-tested architectural design patterns to manage application complexity effectively.</p>
<p>In this series installment, we will delve into the concepts of <strong>Dependency Injection</strong> and its implementation in Python, providing valuable insights for developers looking to enhance their projects.</p>
<p>All the code discussed in this article is within the <a href="https://github.com/PatrickKalkman/python-di" rel="noopener ugc nofollow" target="_blank">accompanying GitHub repository</a>. The repository provides a convenient way to access and explore the examples in more detail.</p>
<h1>Dependency Injection</h1>
<p>Dependency Injection (DI) is a design pattern that encourages loose coupling, maintainability, and testability within software applications.</p>
<p>DI and DI frameworks have long been popular in statically typed languages like Java and C#. However, their necessity in dynamic languages like Python has been debated. Python’s inherent features, such as duck-typing, already offer some benefits associated with DI.</p>
<p><a href="https://itnext.io/dependency-injection-in-python-a1e56ab8bdd0">Read More</a></p>