Data Science Books

Data Science, in my opinion, is a fascinating field with pretty much boundless opportunities. Below is a link to some of the books on this subject for those who would like to learn more about it.

Data Science Books

Python Books

Recently I became very interested in Python and its use, both in Data Science and in Software Development. It seems to be a very no-nonsense language, which also makes it easy to achieve many tasks, and is easy to learn.
According to Python's website:

Python is a programming language that lets you work quickly and integrate systems more effectively.

Below, I compiled a list of books that I think could be great for beginners. Please, feel free to leave your impressions/reviews of any of these books.

All about CSS

CSS 2 Cheatsheet provides pretty good coverage on various CSS elements and their attributes. It covers all CSS 2 properties. It also includes sections on selectors, pseudo-elements, pseudo-classes, @rules, and colors.

Colors Cheatsheet contains a chart of 1050 colors grouped by hue and varied into 25 different saturations and brightnesses for each. Each color has the HTML color code represented as a Hex triplet (e.g. #808080). Also, it contains a chart of the 216 Web-safe colors and each is represented as a single-digit Hex triplet (e.g. #999).