Clean Architecture Essentials: Transforming Python Development
As Python developers, we apply best practices such as writing clean functions, using descriptive variable names, and striving for modularity. Yet, as our applications grow, we often struggle to maintain this clarity and adaptability at scale. Python’s simplicity and versatility make it popular for projects ranging from web development to data science, but these strengths can become challenges as applications become more complex. We find ourselves lacking a master plan, an overarching architecture to guide our decisions and keep our projects maintainable as they evolve. This is where Clean Architecture comes into play, offering a structured approach to building Python applications that balance planning and agility, providing the architectural guidance we need for sustainable, large-scale development.
Clean Architecture, introduced by Robert C. Martin in 2012 (https://blog.cleancoder.com/uncle-bob/2012/08/13/the...
