What are the tasks in python?

What are the tasks of Python divided into?

1. Web development (Python backend)

Python has many excellent web development frameworks, such as Flask, Django, Bootstar, etc., which can help you quickly build a website. When a new feature is needed, Python only requires adding a few lines of code, which is welcomed by many start-up companies.

The earliest websites of major companies such as Zhihu, Douban, and Xiaomi were all built with Python, and more abroad, such as YouTube, Quora, Reddit, Instagram, Netflix, etc., which represent the top traffic on the earth. of major websites are all built on Python.

2. Python crawler engineer

As the name suggests, it is to use Python to collect and crawl information from the Internet. It is also the first driving force for friends to get into Python. What can be done manually in a week, you can just make coffee and run the crawler for 10 minutes. It is both installed and practical. After learning Python crawler, you can get a lot of points even if you don't work as a programmer.

3. Python Data Analyst

In this era, data is as precious as gold. The most popular companies now, such as Toutiao, Douyin, Kuaishou, etc., have products based on On top of user analysis, not to mention Taobao, JD.com, and Pinduoduo, veterans of “customized recommendations.”

It can be said that all trading companies need such a role, and Python data analyst has become one of the most popular professions at present.

4. AI Engineer

Artificial intelligence is one of the hottest directions, and the salary is very high (synonymous with rich people). From the recruitment website, we can see that there are many positions for 80 K and 100 K. The editor shed tears without skills. Of course, the requirements for these positions are relatively high.

Python is the leading language in the era of artificial intelligence. Whether it is machine learning or deep learning, the most commonly used tools and frameworks need to be called with Python, such as: Numpy, scipy , pandas, matplotlib, PyTorch, TensorFlow, etc., so Python is one of the necessary skills for artificial intelligence engineers.

5. Automated operation and maintenance engineers

Operation and maintenance engineers often have to monitor the operation of hundreds of machines or their simultaneous deployment. Using Python, you can automatically manage servers in batches, so that one person can support 10 people. Automated operation and maintenance is also one of the main application directions of Python. It has powerful functions in system management and document management.

6. Automated Test Engineer

The work of testing is boring and repetitive. In the past, every product update had to be tested repeatedly, which was inefficient and easy to make mistakes. It provides many automated testing frameworks, such as Selenium, Pytest, etc., to avoid a lot of duplication of work, and Python automated testing is becoming more and more popular.

7. Python Game Development Recruitment for Python game development is concentrated in the field of game servers, mainly responsible for server function development and function optimization of online games.

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