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.