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This article mainly explains "what are the application fields of Python". The explanation in this article is simple and clear, easy to learn and understand. Please follow the ideas of Xiaobian and go deep into it slowly to study and learn "what are the application fields of Python" together!

Python's application areas:

Web front-end development

Python has many free data function libraries, free web page template systems, and libraries that interact with web servers to achieve web development and build web frameworks. The most famous Python web framework is Django. Working in this field should learn from multiple fields such as data, components, security, etc., understand how it works from the bottom and can control any mainstream Web framework in the industry.

Second, network programming

Network programming is another direction of Python learning. Network programming is everywhere in life and development. Where there is communication, there is network. It can be called the "cornerstone" of all development. For all programming developers must know this and know why, so the network part will be analyzed from the bottom layer of protocol, packaging, unpacking, etc.

III. Python crawler development

In the crawler field, Python is almost dominant, using all data on the network as a resource, and targeted data collection and processing through automated programs. Engaged in this field should learn crawler strategy, high-performance asynchronous IO, distributed crawler, etc., and conduct in-depth analysis of Scrapy framework source code, so as to understand its principle and implement custom crawler framework.

IV. Cloud computing development

Python is a programming language that needs to be mastered for cloud computing work. OpenStack, the current popular cloud computing framework, is developed by Python. If you want to learn deeply and develop it again, you need Python skills.

V. Artificial Intelligence

MASA and Google used Python extensively in the early days, accumulating a rich scientific operation library for Python. When the AI era came, Python stood out from many programming languages, and various artificial intelligence algorithms were written based on Python. Especially after PyTorch, Python's position as the top language in the AI era was basically determined.

VI. Automated operation and maintenance

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

VII. Desktop software

Python is very powerful in graphical interface development, you can use tkinter/PyQT framework to develop a variety of desktop software!

VIII. Financial analysis

Financial analysis includes financial knowledge and Python related modules, including Numpy\Pandas\Scipy data analysis module, etc., as well as common financial analysis strategies such as "double moving averages,""weekly regular trading,""alpaca strategy,""Dual Thrust trading strategy," etc.

IX. Scientific operations

Python is a programming language that is very suitable for scientific calculations. Since 1997, NASA has used Python extensively for various complex scientific calculations. With the development of NumPy, SciPy, Matplotlib, Enthought libraries and many other libraries, Python is more and more suitable for scientific calculations and drawing high-quality 2D and 3D images.

X. Game Development

Python also has many applications in online game development. Compared with Lua or C++, Python has higher abstraction ability than Lua, which can describe game business logic with less code. Python is very suitable for writing projects with more than 10,000 lines, and can control the scale of online game projects well within 100,000 lines of code.

Thank you for reading, the above is the content of "Python's application fields". After studying this article, I believe that everyone has a deeper understanding of Python's application fields. The specific use situation still needs to be verified by practice. Here is, Xiaobian will push more articles related to knowledge points for everyone, welcome to pay attention!

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