aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Two changed were made for improving the integration of these notebooks with Google Colab:
1) a zip file of the data for Chapter 5 was added to the Chapter 5 subfolder. This will allow for uploading and unzipping of the data for this chapter to be done in one go (since runtimes are reset after periods of inactivity, so the CSV files cannot actually be stored in the environment of a Google Colab notebook indefinitely. This fixes that).
2) The HTML file for Chapter 6 is now working. The Dropbox link to the Javascript file is no longer valid. This was replaced with a rawgit URL that allows the Javascript file to be served from the Github repository itself.
Two changed were made for improving the integration of these notebooks with Google Colab:
1) a zip file of the data for Chapter 5 was added to the Chapter 5 subfolder. This will allow for uploading and unzipping of the data for this chapter to be done in one go (since runtimes are reset after periods of inactivity, so the CSV files cannot actually be stored in the environment of a Google Colab notebook indefinitely. This fixes that).
2) The HTML file for Chapter 6 is now working. The Dropbox link to the Javascript file is no longer valid. This was replaced with a rawgit URL that allows the Javascript file to be served from the Github repository itself.