Shulou(Shulou.com)06/02 Report--

This article mainly introduces "what should be paid attention to when learning Python". In daily operation, I believe that many people have doubts about what content they should pay attention to when learning Python. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful to answer the doubts of "what should be paid attention to when learning Python". Next, please follow the editor to study!

What is Python?

Python is an object-oriented interpretive computer programming language with rich and powerful libraries. It is often nicknamed glue language and can easily connect various modules made in other languages (especially CpicurCraft +).

It is true that Python is a popular programming language at present, but being popular does not necessarily mean it is easy to find a job. But at the same time, I like Python very much. I use it as an auxiliary language, that is, a second language, because sometimes it is very practical to write automated scripts or gadgets in Python. But friends who have gone out to look for a job should know that if you only know Python and go out to look for a job as the only main language, you will find it is very rare. Let's analyze Python rationally.

What are the business areas of Python?

There are five main areas of Python's obligations.

AI and ML are the fields of artificial intelligence and machine learning algorithms.

Data analysis

Reptile

Web backend development

Automated testing, operation and maintenance, auxiliary scripts and some auxiliary tools

First of all, let's talk about the field of AI,ML and data analysis, this field mainly uses Python as an algorithm, in this case, it is actually very demanding, requires you to have a strong mathematical foundation and needs to have a strong logical thinking. Without saying anything for the time being, the most important point is Python's artificial intelligence, machine learning and data analysis, which generally require academic qualifications, so it is not particularly optimistic at all.

In the field of crawlers, in the early years, we used JAVA to do crawlers, to climb some well-known websites, in fact, it is quite easy to climb, but this year you will find it more and more difficult to climb, and now many websites actually have a strong anti-crawling mechanism, so it is more and more difficult for you to climb to what you want to be interested in. So the reptile field is another area that I think, anyway, that I am not particularly optimistic about. The first thing about this thing is that it is very complicated to work. I really think everyone needs to consider whether or not to take reptiles as their work direction. How to put it, that is, reptiles are a little speculative. And in the future, the anti-crawling trend will become more and more serious, so it is not recommended to learn from Python to engage in crawlers.

The third area of Python is Web development, in fact, in domestic Internet companies, there are few examples of using Python as an external back-end development on a large scale. Douban seems to use Python as the back-end (it is said), and then how Jinri Toutiao used to use Python, but now it is mainly turned into Golang. Python Web can be easily used to do some auxiliary systems in the company, such as some CMS systems in the company. Of course, it can be because its development cycle is relatively short, but it is difficult to see a large head Internet company to use Python as the main web backend, which feels relatively rare, so it is another intimidating thing or something to be considered in this field.

In the field of automated testing, Python is used a little more. For example, companies that do App will use Appium framework to do automated testing of App, some companies will use Python as auxiliary scripts, and other operators will also use Python to do some automated things. This field is really widely used.

Now we analyze this circle and find that Python does not seem to be so "close to the people". In fact, the threshold in many fields is very high, and the requirements for algorithms, mathematics and academic qualifications are really very high, so it is very difficult for you to find a job if you only know how to Python (the above is analyzed from the perspective of the application field). In terms of posts, in fact, there are not many posts in pure Python. While the strengths of Python are in data analysis and algorithms, while data analysis and algorithms belong to high-end posts, the first one is that there are fewer posts, it is obviously not as many front-end and back-end development jobs, so dense, and many Python jobs are concentrated in first-tier cities. I think the key point is that Python-based algorithms and data analysis positions have educational threshold, which generally requires a postgraduate degree to start, so this is also a very unoptimistic thing.

After analyzing so much, we also found that if people want to use Python as their first main language or simply use Python to find a job. Because the vast majority of domestic companies are actually doing information system construction or information construction, to put it popularly, many companies are actually doing systems, doing all kinds of management systems, all kinds of payment systems, and some financial systems. To put it bluntly, they are all doing the construction of a series of systems, in the process of doing these Web-based construction, especially in the back-end. It should be said that JAVA is a major productivity tool in this field, and it still has a lot more jobs than Python,Gplang. After analyzing so much, Python is actually not so close to the people, regardless of its application field or its position.

Of course, you can learn it by yourself, because Python grammar is not very complicated, and the burden of the language itself is relatively light, which means it is easier to use. Since it is easy to use, it means that people can naturally shift their attention from the language itself to a series of more important things such as the algorithms and patterns you are interested in, including business, so this is indeed a major advantage of Python. And in our usual work, we usually use Python to do some gadgets and automated scripts, and the efficiency is really high and easy to write. So I think Python can only be used as a second language or paralanguage, if I dare not use it as the main language, it is really difficult to find, it is difficult to find, more still recommend JAVA.

At this point, the study of "what should be paid attention to in learning Python" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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