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What is the application direction of Python? in view of this problem, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

1. General software development

Python supports functional programming and OOP object-oriented programming, and can carry out all kinds of software development, so general software development, scripting, network programming and so on are standard functions.

two。 Scientific calculation

Due to the development of NumPy, SciPy, Matplotlib, Enthoughtlibrarys and other libraries, Python is more and more suitable for scientific computing and drawing high-quality 2D and 3D images. Compared with Matlab, Matlab is the most popular commercial software in the field of scientific computing. Python is a general programming language, which is more widely used than the scripting language adopted by Matlab, and is supported by more libraries. Although many advanced features and toolboxes in Matlab are still irreplaceable, there are still a lot of day-to-day research and development work that can be replaced by Python.

3. Automatic operation

Python is almost a self-reserved place for Python applications. As the preferred programming language for operation and maintenance engineers, Python has gone deep into the field of automation operations, such as Saltstack and Ansible are famous automation platforms.

4. Cloud Computing

OpenStack, an open source cloud computing solution, is based on Python and is known to its students.

5. Develop WEB

You don't need too many Python-based Web development frameworks, such as familiar Django and Tornado, Flask. The architecture of Python+ Django is widely used, the development speed is very fast, and the learning barrier is very low, which can help you to quickly build available WEB services.

6. Web crawler

Also known as web spider, is the core tool to obtain big data industry data. If there is no automatic, round-the-clock, highly intelligent web crawler, it will be impossible to obtain free data on the Internet, then the enterprises related to big data will probably be 3/4 less. There are many programming languages that can write web crawlers, but Python is definitely one of the mainstream, and the Scripy crawler framework is also widely used.

7. Analysis data

Based on massive data, combined with scientific computing, machine learning and other technologies, data cleaning, weight removal, standardization and targeted analysis is the cornerstone of big data industry. Python is one of the mainstream data analysis languages.

8. artificial intelligence

In a wide range of artificial intelligence fields, Python is the mainstream programming language such as machine learning, neural network, deep learning and so on. It has been widely supported and applied.

The answers to the questions about the application direction of Python are shared here. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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