Here you will find players' scores for every round reaching back to Round 1607, in other words, for the post-CompuServe era, in a form that will be familiar to a wide audience: a Pandas dataframe. This data is updated irregularly as opportunity serves.
This data does not compete with the official record that is published in the Google Group: on the contrary, it is directly derived from it. Here you will find a faithful copy of the official 5-round rolling scores reports, that appear after each round of the game. The only difference is that here it is in a form that is more amenable to analysis than tabulations in forum posts.
The document “Dixonary Scores for Data Analysis” explains how the the official rolling scores reports have been interpreted and the layout of the resulting dataset. It also gives practical step-by-step examples of how you can download the data and use it to get answers to interesting questions about the scores that can not be read directly from the available official reports. But it does not try to be a Pandas tutorial. For that, look at the official Pandas site.
The 25-Round spreadsheet is an example of what you can do with Pandas using the dataframe provided here. The code to do this is one of the examples in “Dixonary Scores for Data Analysis”.