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This article mainly introduces "what can Python be used for". In daily operation, I believe many people have doubts about what Python can be used for. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts about "what can Python be used for?" Next, please follow the editor to study!

What does Python mainly do? Python can do web application development, web crawler, AI artificial intelligence and machine learning, data processing for analysis, data science: including machine learning, data analysis and data visualization, script and other aspects of development.

Python is used for development:

1. Do Web application development

In China, Douban uses Python as the basic language for web development from the very beginning, and the whole architecture of Zhihu is also based on Python language, which makes the development of web development very good in China. Instagram, the world's largest video website, is also developed in python.

2. Web crawler

Crawler is one of the more operational scenarios, such as Google's early crawler written by Python. One of the libraries is called Requests, which is a library that simulates HTTP requests! People who have studied Python do not know this library, crawled data analysis and computing is the best area of Python, very easy to integrate. However, at present, the popular web crawler framework of Python is the very powerful scrapy.

3. AI artificial Intelligence and Machine Learning

Artificial intelligence is very popular, all kinds of training courses are frantically advertising to recruit students. Most of the tool frameworks of machine learning, especially the hot deep learning, provide Python interface. Python has always had a good reputation in the field of scientific computing, and its concise and clear syntax and rich computing tools are loved by developers in this field. To put it bluntly, it is because Python is easy to learn and rich in framework. Many frameworks are very friendly to Python, which is why you learn so much about Python!

4. Data analysis

Generally speaking, after we use a crawler to climb to a large amount of data, we need to process the data for analysis, otherwise the crawler will crawl in vain, and the ultimate goal is to analyze the data. In this respect, the database for data analysis is also very rich. All kinds of graphic analysis diagrams can be made. It is also very convenient, such as Seaborn visualization library, can only use one or two rows to draw the data, while the use of Pandas and numpy, scipy can simply filter a large number of data, regression and other calculations. In the follow-up complex computing, it is very simple to connect machine learning related algorithms, or to provide Web access interface, or to implement remote call interface.

5. Game development

Have you ever thought of making a game for others? Pygame is a good Python library. The advantage of this library is that it is a free and open source Python language library, and games developed using it can run in almost all commonly used operating systems.

6. Automation script

It's cool to write automated scripts in Python. For frequent, repetitive, mindless operations, you can write a Python script for your computer to do it for you, which can save you a lot of time. Other people's operation of a file, the execution of a command, a key to turn over directly.

7. Website development

Web development now uses Python a lot, the development is simple and efficient, because Python also has website development related frameworks, such as Flask, Django, Bottle. With them, whether you are developing a personal website or a corporate website, Python can do it.

Website back-end programmers: use Python to build a website, the background service is relatively easy to maintain; automatic operation and maintenance: automatically handle a large number of operation and maintenance tasks; data analysts: rapid development, rapid verification, analysis of data to get results; automated testing: written as a simple implementation script, used in Selenium/lr to achieve automation; website development: build your own website with the help of django,flask framework.

At this point, the study of "what can Python be used for" 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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