What is Python suitable for?

From a language point of view, Python can do almost anything except a few fields. The language is easy to understand, easy to learn and powerful. After learning, you can do the following work:

1.Web development

Django is the most popular Python web framework, which supports Tornado framework with asynchrony and high concurrency. The short slogan flask, bottle, Django Django defines Django as a perfect framework with a deadline (meaning an efficient web framework developed for perfectionists).

2. Network programming

Asyncio introduced by py3 supports high concurrency twisted network framework, which makes asynchronous programming very simple.

3. Crawler development

In the field of reptiles, Python is almost dominant, such as scrapy/request/beautysoap/urllib, and you can climb whatever you want.

4. Cloud computing development

At present, the most popular and well-known cloud computing framework is OpenStack, and the current fire of Python is largely due to the outbreak of cloud computing market in recent years.

5. Artificial intelligence

Python was widely used in the early days of MASA and Google. Why Python has accumulated a wealth of scientific computing libraries? When the AI era came, Python stood out from many programming languages, and all kinds of artificial intelligence algorithms were written based on Python. After Python, Python's position as the top language in the AI ? ? era is basically established!

6. Automated operation and maintenance

Ask every operator in China what language the operator must know. 10 people will give you the same answer in detail. Its name is Python.

7. Financial analysis

Many financial companies use Python for analysis programs and high-frequency trading software. At present, Python is the most widely used language in the field of financial analysis and quantitative trading.

8. Scientific operation

Since 1997, NASA has been using Python in a large number of complex scientific operations. With the development of many libraries such as NumPy, SciPy, Matplotlib and Enthought librarys, Python has become more and more suitable for scientific calculation 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 its application scope is wider than that of the scripting language adopted by Matlab.

9. Game development

Python also has many applications in online game development. Compared with Lua or C++, Python has higher abstraction ability 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 best on Python side, and then some extensions can be written in C/C++ when necessary. Python is very suitable for writing projects with more than 65438+100000 lines, and can well control the scale of online game projects within 65438+100000 lines of code.

10. Desktop software

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