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What is python mainly used for?
Python mainly has the following four main applications:
● Web crawler
● web development
● Data Analysis
● Artificial Intelligence
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Python can be used as a web crawler
80% of the world's crawlers are developed based on Python. Learning crawler skills can provide important data sources for subsequent big data analysis, mining, machine learning, etc.
Python technology can be used for web development
Many people only know that Java and PHP can be used for web development, but they know very little that Python can also be used for web development. Many people may not know that Python actually grew up with the Internet. As dynamic languages with a higher level of abstraction, Python and Perl were quickly discovered by developers to be more suitable for developing websites and played an important role in the rise of the early Internet.
Python technology can be used for data analysis
From the current market, there is no programming language that can be used to process data, except for Python technology. Find out which programming language can match. As a glue language, Python can interact well with the operating system, and it is also easy to integrate tool libraries written in other languages. Moreover, Python's own ecosystem is robust enough to support distributed task management, Web development, etc. For the same reason, AWS, currently the public cloud platform with the largest market share, provides Python SDK support at the beginning of its release. It gives the greatest response to Python's ability to occupy a place in the programming world!
Python technology can do artificial intelligence
Artificial intelligence is not a new concept, its history has been more than half a century. In the development of the field of artificial intelligence in the past few decades, the traditional mainstream programming language is clearly Lisp, and the rising stars are also languages like Prolog. But when this wave of artificial intelligence really started to become popular, people discovered that those popular frameworks and tools were either written in Python, such as Theano, or written in C, but Python serves as an interface language, such as TensorFlow, Caffe, MxNet et al. Torch, the only non-Python framework, could not resist the pressure in 2017 and developed PyTorch.
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