Object-oriented programming is a common paradigm in programming. In my actual work, using object-oriented programming mainly serves two purposes: reducing duplicate code through inheritance features, and encapsulating frequently used data into objects to avoid excessive, repetitive, and nested parameter passing.

After getting used to Python, developing scripts in R can feel quite painful. Putting aside the often-discussed issues with unclear error tracing, when scripts become slightly more complex and need to be split into multiple files, I realized R’s import mechanism is also quite frustrating… Fortunately, there’s the box package that allows module imports similar to Python’s logic.