Microsoft's .NET platform is a game-changer for modern developers. It delivers a versatile, comprehensive framework for building applications across a wide array of solutions, including line-of-business tools, high-performance games, and large-scale distributed systems.

Linux has open-source nature and powerful command-line interface, and offers users unparalleled flexibility and control over their computing environment. With Linux becoming increasingly prevalent in various industries, acquiring a strong foundation in this versatile operating system has never been more important. Linux in Action provides the perfect opportunity to do just that.

jQuery is absolutely one of the most popular JavaScript frameworks, and still widely used today. 65% of the top 10 million websites in the world is using jQuery, so its importance is self-evident. jQuery's philosophy is "Write Less, Do More", advocating writing small amounts of code to achieve complex functions. It is simple, fast and lightweight, provides rich functional interfaces, and is suitable for modern, rapid Web development.

JavaScript used to be just a scripting language running in the browser's sandbox environment. Since the release of Node.js in 2009, JavaScript has show extraordinary talents on the server side, the Internet of Things, mobile native application development, and even desktop application development. In the past, to develop desktop applications, we need to learn the exclusive programming languages and development frameworks for different platforms, which not only costs a lot, but also takes a lot of time to make a desktop application that supports and is compatible with multiple OS platforms, and basically needs to be implemented by different teams for different platforms.

You've probably heard this formula: program = data structure + algorithm. What it means is that: data structure is the skeleton of a program, and algorithm is the soul of the program. Therefore, data structures and algorithms are very complex, abstract and difficult to understand knowledge. Even for a skilled programmer, it is not easy to master both data structure and algorithm well.