Is python widely used?
Python is a simple and fast programming language, so many people like to program in PYTHON language, and its fields are very wide. Python code can implement many kinds of tasks easily and quickly, reducing the repetitive things developers do day after day. Python is usually used in various fields and is a universal language. Whether it is websites, game development, robots, artificial intelligence, big data, cloud computing or some high-tech space shuttle control, Python language can be used.
Fields where PYTHON language is more commonly used:
1. Cloud computing
PYTHON language is considered the most popular language in cloud computing. Typical applications are OpenStack
2. WEB front-end development
Modular design of python compared to php\ruby , very convenient for function expansion; a large number of excellent web development frameworks have been formed over the years, and are constantly iterating; such as the current excellent full-stack Django and framework Flask, all inherit the simple and clear style of Python, with high development efficiency and easy maintenance , has good integration with automated operation and maintenance, and 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 Application
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 Intelligent learning frameworks such as Google's TransorFlow, FaceBook's PyTorch, and the open source community's neural network library Karas are implemented in Python. Even Microsoft's CNTK (Cognitive Toolkit) fully supports Python, and Microsoft's Vscode has already used Python as a First level language support.
4. System operation and maintenance engineering project
Python is very closely integrated with the operating system and managed. Currently, python is included in all Linux distributions, and for There are a large number of modules available for related management functions in Linux, such as 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 management analysis
Quantitative trading, financial analysis, in the field of financial engineering, 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.
5. Big data analysis
The biggest feature of the Python language compared to other interpreted languages is its large and active scientific computing ecosystem. There are quite complete and excellent libraries for visualization (python data analysis stack: Numpy Pandas ScipyMatplotlipIpython), and it has also formed its own unique Python distribution for scientific computing, Anaconda, which has been rapidly evolving and improving in the past few years. Data analysis languages such as R MATLAB SAS Stata have formed very strong alternatives.
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