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Clean Code
The document discusses the principles of clean code as outlined in the book "Clean Code" by Robert C. Martin. It covers topics like meaningful names, comments, functions, objects and data structures, error handling, and unit tests. The goal of clean code is to produce readable, maintainable code through practices like breaking code into small, single-purpose functions and hiding implementation details in objects.
In this document
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A brief introduction to the concept of clean code, highlighting its importance and the various topics to be discussed.
Clean Code is described as elegant, efficient, readable, and easy to enhance, focusing on eliminating duplications.
The motivation behind clean code includes improving productivity and maintaining clean code over time, comparing it to leaving a campground cleaner.
Emphasis on using meaningful names for variables, functions, and classes that elucidate their purpose and usage, avoiding misleading conventions.
Discussion of good vs. bad comments, emphasizing that comments should clarify code, but not compensate for poor coding practices.
Functions should be small and focused on a single task. Guidelines on the ideal number of arguments and side effects are provided.
Differentiates between objects that hide data and expose functionality and data structures that expose data without meaningful functions.
Discusses clean error handling strategies, advocating for exceptions over error codes and avoiding NULL values.
Unit tests ensure code quality, emphasizing Test Driven Development (TDD) and structured testing principles like F.I.R.S.T.
Conclusion of the presentation with sources referenced for further reading.
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