C++17 is the latest informal name after C++14 for the next revision of the ISO/IEC standard of C++ programming language. It is based on C++ 11 (once known as C++1z), and aims to make C++ be a less bloated and complex programming language, simplify everyday use of this language, and make it easier for developers to write and maintain code. C++17 is a major update to the C++ language, introducing many new language features. For instance: parallel STL, Boost derived file system libraries, and so on. In addition, both GCC and LLVM/Clang effectively provide full C++ 17 support.

As a small, clever micro computer that was made with the same technology we can find in a smartphone, Raspberry Pi is packed with a lot of potential in practical applications. To be specific, it is designed to help user learn coding on a micro computer, discover how a micro computer works, and finally build your own amazing cool stuffs.

Practical Raspberry Pi goes further than the regular Raspberry Pi user guide books, and explores the contents for actual operations. It starts from the inspection of hardware equipment and the installation of software, then covers the operation methods of actual projects in the following chapters, such as the production of a smart thermometer, the design of a security monitoring equipment, the construction of a mini media center, the control of mobile devices, and more.

Python is an excellent programming language that is very easy to get started with. For example, compared to other data processing modes, Python language has the distinct advantages of supporting so many data import methods and perfectly cooperating with network capturing. In addition, Python is very efficient in data processing. According to its author, 4 GBs of physical memory can handle hundreds of millions of data with ease. So it is enough to be considered an edge tool for huge data processing.

Among all the books on algorithms, some are very rigorous, but not comprehensive; others cover a lot of materials, but lack preciseness. Introduction to Algorithms combines rigor and comprehensiveness together, discusses all kinds of algorithms in depth, and focuses on making the design and analysis of these algorithms more acceptable to readers at all levels.