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The purpose of this article is to share with you about the application scenarios of Python. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Application of Python

First of all, let's take a look at the ability of Python, through his ability, we can better understand the direction of employment after learning Python.

1. System programming: Python provides a large number of available API, which can facilitate system maintenance and management. Under the Linux system, Python is one of the most iconic languages and an ideal programming tool for many system administrators. (at present, the default Python version of the Linux system is the Python2.x version, and the Python2.x version will stop maintenance and update on January 1, 2020. It is recommended that you use the Python3 version to learn the application.)

2. Graphics processing: Python provides PIL, Tkinter and other graphics library support, which is very convenient for graphics processing.

3. Mathematical processing: the Numpy extension provides a large number of standard math library interfaces.

4. Text processing: Python provides re module with very friendly support for regular expressions, as well as SGML and XML analysis modules. At present, many programmers use Python to develop XML programs.

5. Database programming: programmers can communicate with MicrosoftSQLServer, Oracle, Sybase, DB2, MySQL, SQLite and other databases through modules that follow the PythonDB-API (database application programming interface) specification. Python comes with a Gadfly module that provides a complete SQL environment.

6. Network programming: Python provides rich modules to support sockets programming, which can easily and quickly develop distributed applications. It is widely used in many large-scale software development plans such as Zope,Mnet and BitTorrent.Google.

7. Web programming: application development language, supporting the latest XML technology.

8. Multimedia applications: the PyOpenGL module of Python encapsulates the "OpenGL application programming interface", which can process two-bit and three-dimensional images, and the PyGame module is used to write game software.

9. PYMO engine: PYMO (Pythonmemoriesoff) is an AVG game engine running on SymbianS60V3, Symbian3, S60V5 and Android systems.

10. Hacker programming: Python has a hack library with a variety of built-in functions.

Through these Python application capabilities, it has basically covered all kinds of application fields of Python. What are the convenient jobs that Python developers can do in the workplace?

1. Software development: Python supports functional programming and object-oriented programming, and can undertake any kind of software development work. Therefore, conventional software development, scripting and network programming all belong to the standard configuration capability.

2. Web development: there are many Web development frameworks based on Python, such as Django, Tornado, Flask and so on. Among them, Python+Django architecture is the most widely used Python in the field of Web development.

3. Web crawler: Python is widely used in crawler development, in which Sripy crawler framework is widely used.

4. Automated operation and maintenance: at first, the development of Python is mainly used for automated scripting, but now Python has been deeply rooted in automated operation and maintenance. For example, Saltstack and Ansible are famous automation platforms.

5. Automated testing: this is also the application of Python in the field of automation, through Python development applications to achieve automated simulation of manual testing scripts, so as to achieve efficient automated testing applications.

6. Cloud computing: OpenStack, an open source cloud computing solution, is based on Python.

7. Scientific computing: with the development of NumPy,SciPy,Matplotlib,Enthoughtlibrarys and many other libraries, Python is more and more suitable for scientific calculation and drawing high-quality 2D and 3D images.

8. Data analysis: on the basis of a large number of data, combined with scientific computing, machine learning and other technologies, data cleaning, de-duplication, standardization and targeted analysis is the cornerstone of big data industry. Python is one of the mainstream languages of data analysis.

9. Artificial intelligence: Python is the mainstream programming language in machine learning, neural network and deep learning in the wide field of artificial intelligence, and it has been widely supported and applied. Python is known as the preferred programming language for artificial intelligence.

10, game development: many games use C++ to write graphics display and other high-performance modules, while the use of Python or Lua to write game logic, server. Compared to Python,Lua, it is simpler and smaller, while Python supports more features and data types.

Thank you for reading! This is the end of this article on "what is the application scenario of Python"? I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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