Want to learn programming, how about python? Is there such a course for ape education?
The content is relatively simple and the course is good. Programming is easy to learn and suitable for lazy people. It's the kind of easy three-minute self-study, and I'm too lazy to look for courses and download software everywhere, saving money and trouble. Personally, the content of 1000 yuan is not worth it, because I have a little programming foundation and I can learn it by myself. However, the course of wind variable programming is well explained and will be told to you in an easy-to-understand way. If programming is difficult for you to understand and you want to learn, this is also a way. Finally, free Python courses are easy to find and software is easy to download. You can teach yourself if you don't want to spend money, but there's no need to lose someone else's job. A thousand dollars is expensive and not worth it, but for some people, a thousand dollars is pocket money, which is also their choice to save money and trouble. Different from other languages, as long as there is the best way to solve a specific problem, the Python maxim written by Tim Peters (known as Zen in Python) expresses this point: there should be one-and preferably only one-taboo way to do it. This is completely contrary to the central idea of Perl (another high-level dynamic language with similar functions): TMTOWTDI (there is more than one method). Python's design philosophy is "elegance", "clarity" and "simplicity". Therefore, the idea that there are always many ways to do the same thing in Perl language is usually unbearable for Python developers. Python developers' philosophy is "to do one thing in one way, and it is best to do it in only one way". When designing Python language, if faced with multiple choices, Python developers will generally reject fancy grammar and choose explicit grammar with little or no ambiguity. Because of this difference in design concept, Python source code is generally considered to be more readable than Perl and can support large-scale software development. These guidelines are called Python guidelines. Run import this in the Python interpreter to get a complete list.