What is python generally used for?

Python can be used for: 1. Download videos, MP3, automated excel operations, and automatically send emails; 2. Web application development; 3. System network operation and maintenance; 4. Backstage of online games; 5. 3D game development ; 6. Science and digital computing; 7. Artificial intelligence; 8. Web crawlers; 9. Data analysis, etc.

What can you do with Python?

1. Do daily tasks, such as downloading videos, MP3s, automatically operating excel, and automatically sending emails

2. Do website development, web application development, many famous websites like Zhizhi Almost, YouTube is written in Python;

Many large websites are developed in Python, such as YouTube, Instagram, and domestic Douban.

Many large companies, including Google, Yahoo, etc., and even NASA (National Aeronautics and Space Administration) use Python extensively.

3. Do the backend of online games. The backends of many online games are developed in Python.

4. System network operation and maintenance

Linux operation and maintenance requires and must master the Python language. It can meet the work needs of Linux operation and maintenance engineers, improve efficiency, and generally improve their own abilities. When operation and maintenance engineers need to independently develop a complete automation system, this is when the real value is reflected, and only then can they prove their abilities and attract the attention of their bosses.

5. 3D game development

Python can also be used for game development, because it has a good 3D rendering library and game development framework. Currently, there are many developers using Python Games such as Disney's Toontown and Blades of Darkness.

6. Science and digital computing

We all know that the era of big data is coming. Data can explain the reasons for all problems. Nowadays, many people doing data analysis are not as simple as they used to be. Python language It has become the first choice for data analysts, and it can also bring great efficiency to the work.

7. Artificial intelligence

Artificial intelligence is a very challenging science. People engaged in this work must understand computer knowledge, psychology and philosophy. Artificial intelligence is a very broad science, which consists of different fields, such as machine learning, computer vision, etc. Generally speaking, a main goal of artificial intelligence research is to enable machines to perform tasks that usually require human intelligence. Complex work. Python language is the best language for artificial intelligence. At present, many people are starting to learn the artificial intelligence Python subject.

8. Web crawler

Crawler is a scenario where operations are more common. For example, Google's crawler was written in Python in the early days. There is a library called Requests, which is A library that simulates HTTP requests is very famous! Anyone who has learned Python knows this library. Data analysis and calculation after crawling are the areas that Python is best at, and it is very easy to integrate. However, the most popular web crawler framework in Python is the very powerful scrapy.

9. Data analysis

Generally after we use a crawler to crawl a large amount of data, we need to process the data for analysis, otherwise the crawler will crawl in vain. Our ultimate goal is to analyze the data. There are also very rich libraries for data analysis in this area, and various graphical analysis charts can be made. It is also very convenient. Visualization libraries such as Seaborn can plot data using only one or two lines, while using Pandas, numpy, and scipy can simply perform calculations such as screening and regression on large amounts of data. In subsequent complex calculations, it is very simple to connect machine learning-related algorithms, provide a Web access interface, or implement a remote calling interface.

In short, you can do many, many things!

Of course there are things that Python cannot do.

For example, writing an operating system can only be written in C language;

Writing mobile applications can only be written in Objective-C ( For iPhone) and Java (for Android);

Is it difficult to learn Python?

Is it true that the lower-level programs are more difficult to learn, while the more advanced programs are easier?

On the surface, yes.

However, in very high abstract calculations, advanced Python programming is also very difficult to learn, so high-level programming languages ​​do not mean simplicity.

However, the Python language is very simple and easy to use for beginners and for completing common tasks.

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