What is Python suitable for?

From a language perspective, Python is almost omnipotent except for a few fields. The language is easy to understand, easy to get started, and powerful. After learning it, you can engage in the following jobs:

1. Web development

The most popular Python web framework Django, Tornado framework that supports asynchronous high concurrency, short and concise flask, bottle, Django’s official slogan defines Django as the framework for perfectionist with deadlines (roughly a high-efficiency web framework developed for completionists)

2. Network programming

Supports the high-concurrency Twisted network framework, and the asyncio introduced in py3 enables asynchronous programming It has become very simple

3. Crawler development

In the field of crawlers, Python is almost dominant, Scrapy/Request/BeautifuSoap/urllib, etc., you can crawl whatever you want

4. Cloud computing development

The most popular and well-known cloud computing framework at present is OpenStack. Python’s current popularity is largely due to the explosion of the cloud computing market in recent years

5. Artificial Intelligence

MASA and Google used Python extensively in the early days. Why did Python accumulate a rich scientific computing library? When the AI ??era came, Python stood out from many programming languages ??and various artificial intelligence algorithms. They are all written based on Python. After PyTorch, Python’s position as the leading language in the AI ??era has been basically established!

6. Automated operation and maintenance

Ask every operation and maintenance personnel in China, What language must operation and maintenance personnel know? 10 people will give you the same answer in detail, its name is Python

7. Financial analysis

Many analyzes used by financial companies Programs and high-frequency trading software use Python. Currently, Python is the most used language in the fields of financial analysis and quantitative trading

8. Scientific computing

Starting in 1997, NASA Python is used extensively to perform various complex scientific operations. With the development of NumPy, SciPy, Matplotlib, Enthought libraries and many other libraries, Python is becoming more and more suitable for scientific calculations and drawing high-quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a general programming language and has a wider range of applications than the scripting language used by Matlab

9. Game development

Python also has many applications in online game development. Compared with Lua or C, Python has higher-level abstraction capabilities than Lua and can describe game business logic with less code. Compared with Lua, Python is more suitable as a Host language, that is, the entry point of the program is in Python That end would be better, and then use C/C to write some extensions when necessary. Python is very suitable for writing projects with more than 10,000 lines of code, and can well control the scale of online game projects within 100,000 lines of code.

10. Desktop software

Although people rarely use desktop software, Python is also very powerful in graphical interface development. You can use the tkinter/PyQT framework to develop various desktop software !