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.
The above is the detailed content of Is python widely used?. For more information, please follow other related articles on the PHP Chinese website!

To 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 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 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.

You 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 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.

You 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 within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...


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

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

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.

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment