From School to Work, Part II | Towards Data Science
Briefly

The article emphasizes the significance of writing clean, maintainable code in Python development, highlighting that code should be readable and well-structured. This promotes easier debugging, scalability, and reusability. It addresses how poor code structuring and documentation can lead to problematic projects, distinguishing between student and professional code. The author reaffirms that adopting best practices in the early stages of a project enhances collaboration and ensures that code remains manageable by future developers, contributing to overall project success.
Half of good code is Clean Code. This statement encapsulates the importance of focusing on code structure and readability to ensure long-term maintainability and collaboration.
Well-structured code is easier to read, understand, and modify. Organized code with clear variable names and structured functions makes it easier to identify and fix bugs efficiently.
Read at towardsdatascience.com
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