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What can python do?
Python supports functional programming and OOP object-oriented programming, and can undertake any kind of software development, so conventional software development, scripting, network programming and so on are standard capabilities.
2. Scientific calculation
With the development of NumPy, SciPy, Matplotlib, Enthoughtlibrarys and other libraries, Python is becoming 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, which has a wider application range and more library support than the scripting language adopted by Matlab. Although many advanced functions and toolboxes in Matlab are irreplaceable at present, there is still a lot of work that Python can do in daily scientific research and development.
3. Automated operation and maintenance
This is almost a reserved place for Python applications. Python, as the preferred programming language for operation and maintenance engineers, has been deeply rooted in the field of automatic operation and maintenance. For example, Saltstack and Ansible are well-known automation platforms.
4. Cloud computing
OpenStack, an open source cloud computing solution, is developed based on Python, and all students who engage in cloud computing understand it.
5.WEB development
Python-based Web development frameworks should not be too many, such as Django, Tornado and Flask. Among them, Python+Django architecture is widely used, with fast development speed and low learning threshold, which can help you build available WEB services quickly.
6. Web crawler
Also known as the web spider, it is the core tool for the big data industry to obtain data. If there is no web crawler to automatically grab free data on the Internet day and night, the number of companies related to big data will probably be less than three quarters. There are many programming languages that can write web crawler, but Python is definitely one of the mainstream, and its Scripy crawler framework is widely used.
7. Data analysis
On the basis of a large number of data, combined with scientific computing, machine learning and other technologies, it is the cornerstone of the big data industry to clean, duplicate, standardize and analyze the data. Python is one of the mainstream languages for data analysis.
8. artificial intelligence
Python is the mainstream programming language in the field of artificial intelligence such as machine learning, neural network and deep learning, and has been widely supported and applied.
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