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Clean Architecture with Python
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To fully appreciate Python’s type system, it’s important to distinguish between dynamically typed languages like Python and statically typed languages like Java or C++. In statically typed languages, variables have a fixed type that’s determined at compile time. Python, as a dynamically typed language, allows variables to change types during runtime, offering great flexibility but also introducing potential challenges. This dynamic typing is both a blessing and a challenge when implementing Clean Architecture. While it offers flexibility and rapid development, it can also lead to unclear interfaces and hidden dependencies, issues that Clean Architecture aims to address. In this section, we’ll explore how type awareness can enhance our Clean Architecture implementations without sacrificing Python’s dynamic nature.
Python’s approach to typing...