How to delete some specific columns in a large measurenent data which donot contain a some values?

i have a large measurement data which contain 35O columns after filtering(for example to A49,B0to B49,F0 toF49) with some random numbers.Now i want to look in to (B0 to B49) whether it has values in the range(say: between 20 and 30).If not I want to delete that columns from the measurement data.

How to do this in python with pandas? I want to know some faster methods for this filtering?
sample data:https://docs.google.com/spreadsheets/d/17Xjc81jkjS-64B4FGZ06SzYDRnc6J27m/edit?usp=sharing&ouid=106137353367530025738&rtpof=true&sd=true