What fields can python be used for?

Python is a simple, easy-to-learn and promising programming language. Many people are interested in Python. However, after learning the basic usage of Python, they will be confused, especially those who are self-taught. They don’t know what to do next. What are the directions for learning Python and what can you do after learning it? The following article will introduce you to the top ten application areas of Python. I hope it will be helpful to you.

The top ten application areas of Python

1. WEB development

Python It has many free data function libraries, free web page template systems, and libraries for interacting with web servers, which can realize web development and build web frameworks. The most famous Python web framework at present is Django. Those who work in this field should learn from multiple fields such as data, components, and security, understand its working principles from the bottom, and be able to control any mainstream web framework in the industry.

2. Network programming

Network programming is another direction of Python learning. Network programming is everywhere in life and development. Wherever there is communication, there is a network. It can be called the "cornerstone" of all development. All programming developers must know what is happening and why, so the network part will be deeply analyzed from the bottom layer such as protocols, packets, and unpacking.

3. Crawler development

In the field of crawlers, Python is almost dominant. It uses all data on the network as resources and conducts targeted data collection through automated programs. deal with. Those engaged in this field should learn crawler strategies, high-performance asynchronous IO, distributed crawlers, etc., and conduct in-depth analysis of the Scrapy framework source code to understand its principles and implement a custom crawler framework.

4. Cloud computing development

Python is a programming language that needs to be mastered to work in cloud computing. The currently popular cloud computing framework OpenStack is developed by Python , if you want to learn in depth and conduct secondary development, you need to have Python skills.

5. Artificial Intelligence

MASA and Google used Python extensively in the early days and accumulated a rich scientific computing library for Python. When the AI ​​era came, Python was used by many programming It stands out among the languages. Various artificial intelligence algorithms are written based on Python. Especially after PyTorch, Python's position as the leading language in the AI ​​era is basically determined.

6. Automated Operation and Maintenance

Python is a comprehensive language that can meet most automated operation and maintenance needs. Both front-end and back-end can be done. To engage in this field, you should learn from the design level, framework selection, flexibility, scalability, fault handling, and how to optimize.

7. Financial analysis

Financial analysis includes the learning of financial knowledge and Python related modules. The learning content includes Numpy\Pandas\Scipy data analysis modules, etc., as well as common financial Analyze strategies such as "Dual Moving Average", "Weekly Rule Trading", "Alpaca Strategy", "Dual Thrust Trading Strategy", etc.

8. Scientific calculations

Python is a programming language that is very suitable for scientific calculations. Since 1997, NASA has used Python extensively to carry out various complex sciences. Operations, with the development of many program libraries such as NumPy, SciPy, Matplotlib, Enthought libraries, etc., Python is becoming more and more suitable for scientific calculations and drawing high-quality 2D and 3D images.

9. Game development

In online game development, Python also has many applications. Compared with Lua or C, Python has higher-level abstraction capabilities than Lua. , you can use less code to describe game business logic. 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

Python is very powerful in graphical interface development, and you can use the tkinter/PyQT framework to develop various desktop software!

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