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Main application areas of Python development

2025-02-24 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >

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This article mainly introduces "the main application fields of Python development". In daily operation, I believe many people have doubts about the main application fields of Python development. Xiaobian consulted all kinds of materials and sorted out simple and easy operation methods. I hope to help you answer the doubts of "the main application fields of Python development"! Next, please follow the small series to learn together!

1. Web development

While PHP is still the most popular language for Web development today, Python is gaining momentum. As Python Web development frameworks mature, such as the familiar Django and flask, you can quickly develop powerful Web applications. I recommend Django first, and I strongly recommend that anyone interested in Python Web development master this framework. Whether it's building a large website, developing OA or Web APIs, Django can easily do it.

2. web crawler

Thanks to Python, a small white can write a crawler with a few lines of code. However, the real role of crawler is to obtain useful data or information from the network, which can save a lot of artificial time. There are many programming languages that can write web crawlers, but Python is definitely one of the mainstream. Python's urllib library, third-party requests library, and Scrappy framework make it easy to develop crawlers.

3. Calculation and data analysis

With the development and perfection of NumPy, SciPy, Matplotlib and many other libraries, Python is increasingly suitable for scientific calculation and data analysis. It not only supports various mathematical operations, but also can draw high-quality 2D and 3D images. Compared to Matlab, the most popular commercial software in scientific computing, Python has a wider range of applications than the scripting language used by Matlab, and can handle more types of files and data.

4. Artificial intelligence

The hottest, highest-paying IT job right now is an engineer in artificial intelligence. Python is a mainstream programming language in machine learning, neural networks, deep learning, etc. in the field of artificial intelligence, and has been widely supported and applied. The most popular neural network frameworks such as Facebook's PyTorch and Google's TensorFlow use Python. If you don't learn Python, will you use those frameworks?

5. automated operation and maintenance

This is almost a reservation for Python applications, as the programming language of choice for operations engineers. Python is a standard system component on many operating systems. Most Linux distributions and Mac OS X integrate Python, which can be run directly from the terminal. The Python standard library contains several libraries that invoke operating system functionality. Pywin32, a third-party package, enables Python to access Windows COM services and other Windows APIs. With IronPython, Python programs can call.NetFramework directly. In general, Python system administration scripts outperform regular shell scripts in readability, performance, code reuse, and extensibility.

6. cloud computing

Python's greatest strength lies in modularity and flexibility, and OpenStack, which builds the IasS service of the cloud computing platform, uses Python, and other services of cloud computing are also on top of IasS services.

7. network programming

Python provides rich module support for sockets programming, making it easy to quickly develop distributed applications. Many large-scale software development projects such as Zope, Mnet, BitTorrent and Google are using it extensively.

8. game development

Many games use C++ to write high-performance modules such as graphics display, while Python or Lua is used to write the logic and server of the game. Lua is simpler and smaller than Python, but Python supports more features and data types. Python's PyGame library can also be used to develop simple games directly.

At this point, the study of "the main application areas of Python development" is over, hoping to solve everyone's doubts. Theory and practice can better match to help you learn, go and try it! If you want to continue learning more relevant knowledge, please continue to pay attention to the website, Xiaobian will continue to strive to bring more practical articles for everyone!

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