Lokesh Darapureddy: Don't Repeat Yourself (DRY) Principle Explained            
       
                                                               

Thursday, 22 February 2024

                               
                                                                   

                            Don't Repeat Yourself (DRY) Principle Explained                        

                                                               
                       
Don't Repeat Yourself (DRY) Principle Explained

Don't Repeat Yourself (DRY) Principle Explained

What is DRY Principle?

The DRY principle states that every piece of knowledge must have a single, unambiguous, authoritative representation within a system. It encourages the avoidance of duplication, such as in logic, rules, or user interfaces.

Why is DRY Important?

1. **Maintainability**: By avoiding duplication, code becomes easier to maintain. If a change is needed, it only needs to be made in one place.

2. **Readability**: DRY code is generally easier to read and understand, as there are fewer redundant pieces to sift through.

3. **Scalability**: As a project grows, the risk of inconsistencies and bugs increases with duplicated code. DRY code reduces this risk.

Real-life Examples and Use Cases

1. **Database Operations**: Rather than repeating database connection code in multiple places, create a centralized function or class for handling database operations.

2. **User Interface**: If multiple components in a user interface share similar functionality or appearance, extract common code into reusable components or functions.

3. **Business Logic**: When implementing business rules or algorithms, ensure they are encapsulated in functions or classes that can be reused across the application.

4. **Configuration**: Instead of hardcoding configuration settings throughout the codebase, store them centrally and access them as needed.

                   
                                   
               
                                           

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