Many of us in Data Science come from math, biology, chemistry or engineering or other non-Computer Science backgrounds, which may mean that we don’t have much experience writing and maintaining large code bases. Recently, I found myself getting frustrated with the structure of some of my code and searching for a better way to structure my code base. Let’s explore some ways that we can improve our Software Engineering skills as Data Scientists! ...
In Python, decorators allow Data Scientists to extend and modify callables, such as functions, methods and classes, without explicitly changing the callable. Using decorators can improve the readability of your code as well code flexibility and modularity. In this article, we’ll discuss why we would use decorators, how to implement decorators and give a few examples. Use Cases for Decorators in Python Decorators are powerful because they enable “wrapping” of functions with a master function. Some common use cases for decorators in Python include: ...