I'm grateful for the opportunity to review a few books (draft, partial) recently. It is amazing how much time and effort the authors put in for a book.
This year, I reviewed a couple machine learning books and a programming book. They are all great. I have to point out what needs to be improved, and that's sometimes painful when the writing is just perfectly good. And unfortunately, the publisher always give tight deadlines for review.
Anyways, I can't wait until the books get finished and published.
One of the books I reviewed is being sold as an early access book - Unsupervised Learning with Python: https://www.manning.com/books/unsupervised-learning-with-python
It's a great reading -- a bit long in some sections but you can read like a novel. I really enjoyed the book.
I haven't posted about this book, another one I reviewed in 2019 (published in 2020), Learn Docker in a Month of Lunches: https://www.manning.com/books/learn-docker-in-a-month-of-lunches
I used to enjoy reading computer books a lot, until some years ago, many authors just list source code and diagrams, putting labels on them, and put the description below, that spans through pages. This makes the reader to go back and forth between the diagram/code and the description.
However this book and the books I recently reviewed -- they are very easy reading I can just read through without flipping pages back and forth.