Summary of python full stack knowledge points

Full stack refers to full stack engineers, which refer to people who master multiple skills and can use multiple skills to complete products independently. That is, the metropolis related to this skill can be completed independently.

Full stack is just a concept, and it can be divided into many types. True full-stack engineers cover web development, DBA, crawler, testing, operation and maintenance, and the content to be learned is quite huge. As far as the development direction of web is concerned, the front-end knowledge includes HTML5 CSS3 JS Jquery Ajax, and the back-end needs to be able to use Django and tornado skillfully at least, but flask is better.

Extended information:

The strength of a full-stack engineer is not that he has a lot of knowledge and can do multiple jobs by one person. It means that he has overall thinking when dealing with problems.

With the rapid development of science and technology, the front end of web is no longer as simple as cutting a picture and using an jQuery and an AJAX to be compatible with various browsers. For modern Web front-end, you need modular development, multi-screen compatibility, MVC, various complex interactions and optimizations, and even you need Node. js to assist in front-end development.

Therefore, a modern project is a very complicated composition. We need a person to control the overall situation. He does not need to be a senior expert in various technologies, but he needs to be familiar with various technologies. For a team, especially an Internet enterprise, it is particularly important to have a person with overall thinking, which shows the value of full-stack development engineers at this time.

Why choose Python full stack learning

You may have heard of many popular programming languages, such as C, which is very difficult to learn in college, Java, which is very popular in society, Basic, which is suitable for beginners, Java, which is very suitable for web programming, etc. Python is one of them.

Python can be used for front-end development, back-end development, crawler, database and artificial intelligence, and now many testing and operation and maintenance positions also require technical engineers to master Python language, so Python can also be used for software testing and software operation and maintenance. Which one is better for Python development and training?

Python is a programming language with relatively few keywords, simple structure, clear syntax definition and relatively simple learning. With the rapid development of AI technologies such as Alpha Dog and Autopilot, Python quickly attracts people's attention, because the development of these AI technologies cannot be separated from Python, and Python is an indispensable programming language in the field of artificial intelligence.

If you want to choose a language to get started with programming, Python is definitely the first choice! It is very close to natural language, simplifies many unnecessary semicolons and brackets, and is very easy to read and understand. Programming is simple and straightforward, which is more suitable for beginners to focus on programming logic instead of obscure syntax details. It is much easier than JAVA, C # and C/C + +.

Therefore, even a non-computer major or a small white without foundation can get started in minutes. The ranking of Python has been rising continuously with the help of artificial intelligence since last year, and its popularity has also driven the employment fever of engineers. According to statistics, the starting salary of junior python engineers is generally 10-20K. Come and learn Python full stack technology