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.
The above is the detailed content of What does python language do?. For more information, please follow other related articles on the PHP Chinese website!
Python: Automation, Scripting, and Task ManagementApr 16, 2025 am 12:14 AMPython excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.
Python and Time: Making the Most of Your Study TimeApr 14, 2025 am 12:02 AMTo maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.
Python: Games, GUIs, and MoreApr 13, 2025 am 12:14 AMPython excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.
Python vs. C : Applications and Use Cases ComparedApr 12, 2025 am 12:01 AMPython is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.
The 2-Hour Python Plan: A Realistic ApproachApr 11, 2025 am 12:04 AMYou can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.
Python: Exploring Its Primary ApplicationsApr 10, 2025 am 09:41 AMPython is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.
How Much Python Can You Learn in 2 Hours?Apr 09, 2025 pm 04:33 PMYou can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.
How to teach computer novice programming basics in project and problem-driven methods within 10 hours?Apr 02, 2025 am 07:18 AMHow to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SublimeText3 Linux new version
SublimeText3 Linux latest version

Dreamweaver CS6
Visual web development tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.






