https://towardsdatascience.com/data-science-for-startups-blog-book-bf53f86ca4d5 > There’s a number of compelling reasons for data scientists to write books. I wanted to better understand new tools, and to document some of my past experience in industry. Kirill Eremenko also claims that writing makes you happier, more understanding, and more productive. > My initial approach for accomplishing this goal was to use Medium to publish a series of blog posts on Towards Data Science. My first article had a great response, and I got great feedback on the follow up articles that I shared. Once I made some good progress on this series, I was inspired to use “Blog Based Peer Review” to author a book. This approach was pioneered by Noah Wardrip-Fruin, a professor a UC Santa Cruz, when authoring his book “Expressive Processing”. I didn’t take this formal approach to peer review, but I did incorporate feedback when converting blog posts to book chapters.