From a recent exercise in which my objective was to use Google Trend Explore  to compare interests between Python and Ruby (programming languages) over the past few years. A question arised – python could be the snake, monty python, the programming language, etc. Likewise, ruby could be a type of gems, a programming language, etc. If I did a trend comparison between python and ruby, I might run into problem such as comparing trend interest between a python the snake, and ruby the programming language (instead of comparing a programming language to another). How do I gain confidence that when I do a trend of Python vs Ruby, I am indeed comparing apple-to-apple? (programming language to programming language?). Here is my approach: Compare the trends between “python language”, “python program”, and “python code”. I want to gain some confidence that all three mean more or less the same thing. Do the same for Ruby. Compare the trends between “ruby language”, “ruby program”, and “ruby code”. From the comparisons above, I believe I can make more or less “apple-to-apple” comparison between python and ruby (as programming languages). Do some “eye-ball” comparisons between the above “python language” and “ruby language” trends, and make some fairly reasonable conclusion. I was actually hoping to see the above 3 trend comparisons to be more or less the same. Reality turns out they differ quite a bit. I guess more work is required to digest the data and make sense of it. Can you suggest a better way to compare interest of two programming languages? (e.g. Python and Ruby)? And what would be your conclusion? Would love to hear your thoughts.