What development can python programming do?

Release: 2019-06-25 11:55:18
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What development can python programming do?

Python is widely praised as a powerful, easy-to-learn programming language, so can Python do everything? In summary, there are the following aspects.

1. Web development

One of the basic applications of using Python is web development. In China, the larger companies that use Python for infrastructure include Meituan, Ele.me, and Sohu. etc. Abroad, Google has widely used Python in its network search system and hired the father of Python. In addition, most of the YouTube video sharing service is also written in Pyom.

2. Big data processing

With the rise of big data in recent years, Python has also experienced an unprecedented explosion. Python relies on third-party big data processing and big data processing. With the rise of big data in recent years, Python has also experienced an unprecedented explosion. Python relies on third-party big data processing. The management framework can easily develop a big data processing platform. So far, Python is the most used language in the fields of financial analysis and quantitative trading. For example, Tunisia Bank has developed new products and infrastructure interfaces using the Python language for processing financial data.

3. Artificial Intelligence

Artificial Intelligence (Artificial Intelligence), the English abbreviation is AI. The reason why Python is so popular is mainly due to the development of artificial intelligence. Phon is a scripting language, which is more suitable for the field of artificial intelligence. Using Python in artificial intelligence has greater advantages than other programming languages. The main advantages are that it is simple, fast, and scalable (mainly reflected in the fact that it can apply multiple excellent artificial intelligence frameworks), etc. In addition, machine learning in Python can realize most needs in the field of artificial intelligence.

4. Automated operation and maintenance

Development Mastering a development language has become an essential skill for senior operation and maintenance engineers. Python is a simple, easy-to-learn scripting language that can meet most automated operation and maintenance needs. For operation and maintenance engineers, they usually don't know how to develop, so if they want to learn a development language, Pyha is the first choice.

5. Cloud computing

Python can play a unique role in a wide range of scientific computing fields. Through powerful support modules, work can be completed efficiently in computing large data, vector analysis, neural networks, etc., especially in education and scientific research, which can bring unique advantages into play. Since 1999, NASA has been using Phon extensively for various tasks. Complex scientific calculations. Now a set of cloud computing software named Openstack (Open Protocol Root) has finally been invented and released to the public.

6. Crawler network

Crawler (also known as spider) began and developed in Baidu and Google. However, with the rise of big data in recent years, crawler applications have been elevated to unprecedented heights. Most analysis and data mining companies use web crawlers to obtain data collections from different sources, and finally build their own comprehensive big data platform for their use. In the field of crawlers, Python is almost dominant, through the standard support library it provides. You can get the data you want at will.

7. Game development

You can write great game programs through Python. For example, the well-known game Sid Meier's Civilization (Civilization) is written in Pdtm. In addition, Pom also has many applications in online game development. It is embedded in the game as a game script. The advantage of this is that it can take advantage of the high performance of the game engine. , and can benefit from the advantages of scripted development. It shows that Pyho has many more small-angle domains than mentioned above. For example, using Python to process graphics and images, program drawing robots, database programming, and write portable Tools for operating system maintenance, natural language analysis, etc.

For more Python-related technical articles, please visit the Python Tutorial column to learn!

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