Introduction to Python
Python is a high-level scripting language that combines interpretation, compilation, interactivity and object-oriented.
Python is designed to be highly readable. Compared with other languages, it often uses English keywords and some punctuation marks in other languages. It has a more distinctive grammatical structure than other languages.
Python is an interpreted language: This means that there is no compilation link in the development process. Similar to PHP and Perl languages.
Python is an interactive language: This means that you can write your program directly and interactively at a Python prompt.
Python is an object-oriented language: This means that Python supports object-oriented style or programming techniques where code is encapsulated in objects.
Python is a Beginner’s Language: Python is a great language for beginning programmers, supporting a wide range of application development, from simple word processing to WWW browsers to games.
History of Python development
Python was designed by Guido van Rossum at the National Institute of Mathematics and Computer Science in the Netherlands in the late 1980s and early 1990s.
Python itself was developed from many other languages, including ABC, Modula-3, C, C++, Algol-68, SmallTalk, Unix shell and other scripting languages, etc.
Like the Perl language, Python source code also follows the GPL (GNU General Public License) agreement.
Now Python is maintained by a core development team, with Guido van Rossum still playing a vital role in guiding its progress.
Python Features
1. Easy to learn: Python has relatively few keywords, a simple structure, and a well-defined syntax, making it easier to learn.
2. Easy to read: Python code is more clearly defined.
3. Easy to maintain: The success of Python is that its source code is quite easy to maintain.
4. An extensive standard library: One of Python’s biggest advantages is its rich library, which is cross-platform and compatible with UNIX, Windows and Macintosh.
5. Interactive mode: Interactive mode is supported, you can input languages from the terminal and get the results, interactive testing and debugging code snippets.
6. Portable: Python can run on a variety of hardware platforms and has the same interface on all platforms.
7. Extensible: Low-level modules can be added to the Python interpreter. These modules allow programmers to add or customize their own tools to be more efficient.
8. Database: Python provides interfaces to all major commercial databases.
9.GUI Programming: Python supports GUI that can be created and ported to many system calls.
10. Scalability: Compared to shell scripts, Python provides a better structure and supports large programs.

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

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics



VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

VS Code is available on Mac. It has powerful extensions, Git integration, terminal and debugger, and also offers a wealth of setup options. However, for particularly large projects or highly professional development, VS Code may have performance or functional limitations.

The key to running Jupyter Notebook in VS Code is to ensure that the Python environment is properly configured, understand that the code execution order is consistent with the cell order, and be aware of large files or external libraries that may affect performance. The code completion and debugging functions provided by VS Code can greatly improve coding efficiency and reduce errors.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.
