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Mandelbrot set (Julia set is similar) is regarded as one of the most mysterious and formidable research objects in mathematics, also the most fantastic and magnificent geometric figures ever created over the whole history of mankind that called “fingerprints” of god. Grasping the drawing methods of them both, you will see and experience the beauty of mathematics.
Compilation principle is an important and professional course for computer majors, also one of the most difficult and challenging courses to learn. It aims at introducing the general principles and basic methods of compiler construction, and studying how to develop computer programs more efficiently so as to reduce the threshold of programming. In this age of highly developed IDEs, why should programmers learn the principles of compilation? In fact, the principle of compilation permeates every aspect of the daily programming work. Therefore, learning the principles of compilation can help you better understand computer programs and provide a solid foundation for your future development.
Some computer science books are classic but not suitable for beginners, and some are the opposite. Donald Knuth‘s The Art Of Computer Programming probably belongs to the former condition, and Robert Sedgewick‘s Algorithms belongs to the latter. Of course, both of their algorithm analysis idea comes down in one continuous line, and they are all the classic and bestselling reference book in the computerized algorithm field.
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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.
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.
The kernel of Linux is responsible for handling all the interactions between CPU and outside world, deciding the order of all programs share the processor time, effectively managing hundreds or thousands of processes to share the limited memory available in system, skillfully planning the data transmission as a whole to save the time consumed by CPU on waiting for the slower hard drive. Therefore, in-depth study of the most essential parts of the Linux kernel lets you completely understand what makes Linux run normally and why it can work well in various system distributions.
The assembly language is actually a strongly functional programming language, which can utilize all features of computer hardware and directly control them. As a machine language, corresponding to the high-level language compiler, assembly language also needs a assembler to compile its source code into executable machine code. As far as I know, there are at least two skills can not do anything without the basic knowledge of assembly language, they are reverse engineering (software cracking) and disk repair.
