Lack of standardization in Kaggle jupyter notebooks when using lasso/ridge?

I've recently started using Kaggle, and I've noticed that for a lot of these jupyter notebooks written by others, when they use Ridge/Lasso, they don't standardize the non-categorical numerical features. My understanding is it's best practice to standardize when regularizing, so there's some form of parity when it comes to penalizing the different coefficients.

Why is there (seemingly) a lack of this standardization practice on Kaggle? Am I missing something here?

Here are a couple examples: https://www.kaggle.com/mohaiminul101/car-price-prediction

https://www.kaggle.com/burhanykiyakoglu/predicting-house-prices/comments

Honestly. I feel like the majority that I've seen that use Lasso/Ridge do not do any standardization, and I usually only look at the highest voted ones for pretty popular datasets, so I'm a little surprised.