This article was automatically translated from the original Turkish version.

In the software development process, it is not sufficient for code to simply only run; it must also be readable, understandable and maintainable, which carries significant importance. The concept of Clean Code refers in the software development world to code that is well-designed, comprehensible and resilient to errors. This approach provides substantial advantages for both individual developers and team projects. This methodology, detailed by Robert C. Martin in his book "Clean Code: A Handbook of Agile Software Craftsmanship", holds a prominent important in the field of software engineering.
Clean code means code that is easy to read, maintain and extend. Clean code eliminates unnecessary repetition and provides a clear logical flow. As stated by Robert C. Martin in his book "Clean Code", it should be consistent, simple and functional.
For code readability, variable, function and class names must be clear and meaningful. Names should convey the purpose of the variable or function, rather than using arbitrary letter and numbers.
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A function should perform only one task and be as short as possible. Long and complex functions make code harder to understand and complicate error debugging.
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Clean code should be self-explanatory. Instead of unnecessary comments, code should be clear and explicit.
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Preventing code duplication and making code modular increases maintainability and readability. Instead of repeatedly writing the same code blocks, it is better to encapsulate them in a common function.
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Each function and class should have only one responsibility and be organized in a modular structure. Modularity facilitates developing code in separate components and simplifies maintenance. Classes and functions that perform multiple tasks make code harder to manage.
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Clean code must be written to be compatible with unit tests. Different parts of the code should be testable independently.
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Writing code according to a consistent standard improves readability. For example, in Python, the PEP8 such as standards should be followed.
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Clean Code
Principles of Writing Clean Code
Meaningful and Clear Naming
Short and Focused Functions
Minimizing Comments for Code Clarity
Avoiding Code Duplication (DRY - Don't Repeat Yourself)
Single Responsibility Principle (SRP)
Code Testability
Formatting Code and Using Standards
Advantages of Clean Code