Abstract

This article discusses the application of the concept of Constraints in Python to control loops, variable values, and functions. We also explain the use of Constraints in machine learning, particularly in credit analysis, to control the amount of data used and improve model performance. Each topic is equipped with Python code examples to make it easier to understand and implement these concepts. By understanding and using Constraints, you can write code that is more efficient and easier to maintain, especially in managing literacy and variable values ​​in programming and machine learning.

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