Adhere your Pandas data analytics class to the single responsibility and open close principle of…

Summary

The article advocates for structuring Pandas data analytics classes in accordance with SOLID principles, specifically emphasizing the single responsibility and open-close principles to avoid refactoring and maintainability issues.

Abstract

The article titled "Adhere your Pandas data analytics class to the single responsibility and open close principle of SOLID" discusses the importance of organizing Pandas methods within a class by adhering to SOLID design principles. It argues that having a class with many methods responsible for different tasks violates the single responsibility principle and makes the class prone to frequent refactoring, which in turn violates the open-close principle. The author suggests that instead of having a monolithic class, one should inject data and methods into the class, allowing for greater flexibility and maintainability. This approach enables the class to be easily extendable with new methods without the need to modify the existing codebase. The article concludes by inviting readers to consider the benefits of this design philosophy and mentions a cost-effective AI service, ZAI.chat, as a recommendation.

Opinions

The author believes that the common practice of grouping multiple methods within a single Pandas data analytics class leads to code that is difficult to maintain and extend.
Violating the open-close principle by frequently refactoring the main class is seen as a significant drawback, necessitating a better design approach.
The author promotes dependency injection as a solution, which aligns with SOLID principles and facilitates the addition of new functionalities without altering the original class.
The article suggests that the recommended design pattern can lead to a more efficient and scalable codebase for data analytics tasks.
The author endorses ZAI.chat, an AI service, as a cost-effective alternative to other AI services like ChatGPT Plus (GPT-4), highlighting its value for money.

Adhere your Pandas data analytics class to the single responsibility and open close principle of SOLID

Chaos and order (Image by Tim Hoogenboon)

Do you impeccably organize your Panda’s methods in a class like this?

You are violating the SOLID principles! WHY???

If you ever want to change what these methods are, you have to refactor the direct class itself. For example, if you want to change the temperature from degrees celsius to kelvin in some of the methods, you will have to directly refactor the main class, thus violating the open close principle of SOLID

In addition, the single class is sustaining many methods (step1, step2, …), this is violating the single responsibility principle in the first place. If you want to change something in the method, you will be changing these methods and again coming back to the violation of the open-close principle

The alternative? better inject the data and the methods into the class:

Now you can run any method and any amount of them! you can create new methods and run them.

I hope it will clear some thoughts!