What is the main purpose of learning python?

In the eyes of most people, python is only used for web crawlers. In fact, python has its power. Today we will take a look at why python is so popular and what can it do?

Understand the main application areas of python with one picture:

1. Cloud Computing PYTHON language is considered the most popular language in cloud computing, and OpenStack is a typical application.

2. WEB front-end development Compared with the modular design of php\ruby, python is very convenient for function expansion; a large number of excellent web development frameworks have been formed over the years, and they are constantly iterating; such as the current excellent full-stack Django and the framework Flask all inherit the simple and clear style of Python, with high development efficiency, easy maintenance, and good integration with automated operation and maintenance. Python has become the de facto standard in the field of automated operation and maintenance platforms; many large websites are developed in Python, including Youtube, Dropbox, and Douban.

3. Artificial Intelligence Applications Artificial intelligence developed based on big data analysis and deep learning is essentially inseparable from the support of python. Currently, the world's outstanding artificial intelligence learning frameworks such as Google's TransorFlow, FaceBook's PyTorch and The open source community's neural network library Karas and others are implemented in python. Even Microsoft's CNTK (Cognitive Toolkit) fully supports Python, and Microsoft's Vscode already supports Python as a first-level language.

4. System operation and maintenance engineering project Python is very closely integrated with the operating system and management. Currently, all Linux distributions include Python, and there are a large number of modules for related management functions in Linux. Use, for example, the current mainstream automated configuration management tool: SaltStackAnsible (currently RedHat). At present, in almost all Internet companies, the standard configuration for automated operation and maintenance is python Django/flask. In addition, openstack, which has become the de facto standard in virtualization management, is implemented in Python, so Python is a necessary skill for all operation and maintenance personnel

5. Financial analysis: Quantitative trading, financial analysis, in the field of financial engineering, the Python language is not only in use, but also the most used, and its importance is increasing year by year. Reason: As a dynamic language, Python has a clear and simple language structure, rich libraries, mature and stable, scientific calculation and statistical analysis are very powerful, the production efficiency is much higher than c, c, java, and it is especially good at strategy backtesting.

6. Big data analysis The biggest feature of Python language compared to other interpreted languages ​​is its large and active scientific computing ecosystem. It has quite complete and excellent libraries in data analysis, interaction and visualization (python data Analysis stack: Numpy Pandas ScipyMatplotlipIpython), and has also formed its own unique Python distribution Anaconda for scientific computing, which has been rapidly evolving and improving in recent years, forming a very strong support for traditional data analysis languages ​​such as R MATLAB SAS Stata of substitutability.

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