Selection of learning directions

I am deeply aware of this: it is easy to learn and hard to practice internal skills. A thick book Algorithm The introduction is placed on my desk. Looking back at the path we 've traveled and crossing the door one by one, we have finally reached the so-called realm of application experts, object-oriented, design patterns, and ,. I have made a lot of achievements in the Net Framework and various development libraries, and this process is not smooth. When I learned the design model, I once thought that the model was just the gameplay that some experts created and understood the basic object-oriented theories, I was surprised to find that I opened a treasure house, and the experiences I had summarized hit my mind. I suddenly realized: Program It can also be written like this! Then the confusion arises. The learning of model design requires a wealth of practical experience as a guide, and the model is learned. It does not mean that the model will be used, especially when the mode is not correctly used, instead, I am bound by the pattern and have trouble with myself. Currently, I still have little engineering experience. In terms of the design pattern, I still need to continue to study in depth. . Net Framework is a class library with extremely rich functions. Its content and knowledge, as well as various techniques are dazzling. net programmers do not understand their internal implementation. They can only know themselves and know each other and write more efficient programs only by fully understanding the underlying layer.

I once thought that learning computer is just learning a varietyProgramming LanguageTechnology, standards, and so on, after a development path, I found that although programming languages should be learned, learning computer algorithms and theories is more important, because computer languages and development platforms are changing with each passing day, but those algorithms and theories are the same. Currently, in my opinion, design patterns and various frameworks are just a means of implementation. Some people vividly compare algorithms to internal functions ", however, if we regard these methods as "external achievements", we cannot become masters if we pursue new technologies and standards without focusing on internal accomplishments. When I learned a lot about the application that hides a variety of brilliant algorithms, I deeply felt that the programmer's skills lie in algorithms and mathematics. In the real world, programs are built on a solid foundation of mathematics, if you want to engage in high-end development, enter the science field, and get rid of the programmer's 35-year-old fate, you can use algorithms as the soul. Now, I am more and more interested in weak artificial intelligence. I have become a programmer who is happy with learning algorithms and wants to use this as a lifelong goal. Do you support me, my friends?