What is Python full stack development

Full-stack refers to mastering multiple skills and being able to use multiple skills to complete the product independently. In layman's terms, it is related to this skill, and it can be completed independently.

Python, because it is very popular at the moment, can develop a lot of projects. For example: web front-end and back-end, automated operation and maintenance, software, small game development, mobile development (WeChat applet, etc.), big data processing, AI (artificial intelligence, the hottest direction), etc., and Python is a glue language, which can be used in combination with any other language, and cross-platform (Windows, Linux, Mac OS, UNIX), etc., these directions will basically be, and can basically be done independently, Even if it's a full-stack python engineer.

But at present, because Python can do too much, and the functions are extensible, and the direction is constantly expanding, I personally think that strictly speaking, there are not many engineers with the full stack of Python at home and abroad.

So generally speaking, Python full stack generally refers to people who use Python to automate operation and maintenance and web front-end and back-end on Linux Windows environment, as well as some project development, but those who can do these are already very powerful people.

Full-stack refers to full-stack engineers, who have mastered multiple skills and can use multiple skills to complete products independently.

Python is a full-stack development language, and to put it simply, if you learn the python language well, then you can do the front-end, back-end, testing, and big data analysis work well. From the perspective of the market, Python full-stack engineers are a more popular type of talents, and the Python language itself has the ability to develop full-stack, so there are more full-stack engineers in Python.

Python is a very powerful glue language, and there are many things that can be done, and the whole set of skills that cover from front-end to back-end to database development is called full-stack development, and python is the core language that connects these technologies, which is one of the reasons why python is so popular.

Full-stack refers to full-stack engineers, who have mastered multiple skills and can use multiple skills to independently complete products. Even the metropolis related to this skill can be completed independently.

Full stack is just a concept, and there are many different types. A real full-stack engineer covers web development, DBA, crawlers, testing, and operations, and that's a huge amount of content to learn. What to learn in terms of web development:

Front-end knowledge includes HTML5 CSS3 JS jQuery Ajax, and back-end needs to be at least proficient in using Django and Tornado, and of course Flask is better.

Extended information: The great thing about a full-stack engineer is not that he has a lot of knowledge and can do multiple jobs on his own. It's about having a holistic mindset when dealing with problems.

Nowadays, with the rapid development of technology, the web front-end is no longer as simple as cutting a picture from the past, using a jquery and an AJAX to be compatible with various browsers. For modern web front-ends, you need to use modular development, multi-screen compatibility, MVC, all kinds of complex interactions and optimizations, and even you need to assist in front-end development.

So a modern project is a very complex composition, we need a person to control the overall situation, he doesn't need to be a senior expert in various technologies, but he needs to be familiar with various technologies. For a team, especially for Internet companies, it is particularly important to have a person with a global thinking, which also highlights the value of training full-stack development engineers.

1. Full stack refers to people.

2. Python is a programming language.

Full stack: 1, the company's founder Cofounder full stack: technology + product + design + operation + sales car + legal affairs + financing + PR

As the founder of the company, he was really a chiefeverythingofficer in the early daysYou must be proficient in at least one or more of the above, and you must have some knowledge or basic understanding of the others. And your mastery must correspond to the company's business form.

2. Engineer Architect Full Stack: Big Front-end (Web + Mobile) + Back-end. The full stack of technology should refer to the premise of being proficient in a certain programming language technology, and also having sufficient understanding and mastery of other upstream and downstream technologies.

In the early stage of product development, prototypes can be quickly made with less manpower and lower communication costs.

3. Product Manager Designer Full Stack: Product + Design + Basic Multi-terminal Technology + Basic Operation. The full stack of the product should be on top of the basic product design capabilities, and also have a certain understanding of the upstream and downstream fields of the product.

python:

1. Python (English pronunciation: ?.)pa?θ?n) is an object-oriented, interpreted computer programming language.

2. The Python source also follows the GPL (GnuGeneralPublic License) license. The Python syntax is concise and clear, with a rich and powerful class library. Often nicknamed the glue language, it makes it easy to link together various modules made in other languages, especially C++.

3. Use Python to quickly generate a prototype of the program, and then rewrite the part with special requirements in a more appropriate language, such as the graphics rendering module in the 3D game, the performance requirements are particularly high, you can rewrite it with C C++, and then encapsulate it into an extended class library that Python can call.

4. It should be noted that you may need to consider platform issues when using extension libraries, and some may not provide cross-platform implementations.

Because application development engineers, operation and maintenance engineers, and data scientists all like Python, Python has become a full-stack development language for big data systems.

For development engineers, the elegance and conciseness of python is undoubtedly the biggest attraction, in the python interactive environment, execute import this, read python Zen, crack dates you will understand why python is so attractive.

The Python community has always been very dynamic, and unlike the NodeJS community package growth, the growth rate of Python packages has been relatively stable, and the quality of the packages is relatively high. There are many people who criticize Python for being too strict with whitespace, but it is precisely because of this requirement that Python has an advantage over other languages when working on large projects. This is evidenced by the OpenStack project's total of more than 2 million lines**.

The biggest advantage of Python for operations engineers is that almost all Linux distributions have a built-in Python interpreter. Although the shell is powerful, the syntax is not elegant enough, and it can be painful to write more complex tasks. Using Python instead of shell to do some complex tasks is a liberation for O&M personnel.