A quiet space where enjoying reading books
Dear reader,
We built this site in July 2021! Quiet Book Space aims to create a quiet space for developers, programmers, and engineers to supplement their knowledge.
We try to offer a large number of books, mainly computer and technical book categories. Science and math books will also be available. We also have a considerable accumulation of investment and computer and engineering content reference books. The site is just getting started, the number of books is small, but they are relatively new. We hope to help developers to join the discussion in each book post. You can express what your thoughts are regarding any book. Also, we expect developers can tell us which category of books you are interested in. We can keep the list in our minds and post them once we have those books.
This site also focuses on some current topics in the IT industry. Therefore, we will post some articles regarding programming language status, any published tools, and so on. Thank you!
Regards!
QuietBookSpace.com
Hits: 17
Data science is an interdisciplinary practice that draws on methods such as data engineering, descriptive statistics, data mining, machine learning, and predictive analytics. Like data science, operations research focuses on executing data-driven decisions and managing their results.
R is open source software which can run well on multiple platforms, like Unix, Linux, Apple’s macOS, and Microsoft Windows. R is a rich and broad language, and there are usually many ways to accomplish the same task. This represents an initial learning curve, as it is difficult to understand what R programs mean until you are familiar with the notation. However, reviewing some of the basic notations is well rewarded, which is good for understanding the R to learn data science methods and practices.