What software is Python?
What software is Python?
Python is not a software. Python is an interpreted, object-oriented, dynamic data type high-level programming language. It is mainly used for developing Web websites, desktop interface development, web crawlers, Artificial intelligence, automated operation and maintenance, data analysis, machine learning, etc.
Python development history
Since the birth of the Python language in the early 1990s, it has been gradually widely used in the processing of system management tasks and Web programming.
The founder of Python is the Dutchman Guido van Rossum. During the Christmas period of 1989, in Amsterdam, Guido decided to develop a new script interpreter as an inheritance of the ABC language in order to kill the boredom of Christmas. The reason why Python (meaning boa constrictor) was chosen as the name of the programming language was taken from the British TV comedy "Monty Python's Flying Circus" that premiered in the 1970s.
ABC is a teaching language designed by Guido. In Guido's own opinion, ABC is a very beautiful and powerful language that is specially designed for non-professional programmers. However, the ABC language did not succeed. Guido believed that the reason was due to its non-openness. Guido is determined to avoid this mistake in Python. At the same time, he wanted to achieve something that had been glimpsed in ABC but never came to fruition.
In this way, Python was born in the hands of Guido. It can be said that Python developed from ABC and was mainly influenced by Modula-3 (another very beautiful and powerful language designed for small groups). And combines the habits of Unix shell and C.
Python has become one of the most popular programming languages. Since 2004, python usage has grown linearly. Python 2 was released on October 16, 2000, and the stable version is Python 2.7. Python 3 was released on December 3, 2008 and is not fully compatible with Python 2. In January 2011, it was named the 2010 Language of the Year by the TIOBE Programming Language Ranking.
Due to the simplicity, readability and scalability of the Python language, there are an increasing number of research institutions using Python for scientific computing abroad. Some well-known universities have adopted Python to teach programming courses. For example, the basics of programming at Carnegie Mellon University and the introduction to computer science and programming at MIT are taught using the Python language. Many open source scientific computing software packages provide Python calling interfaces, such as the famous computer vision library OpenCV, the three-dimensional visualization library VTK, and the medical image processing library ITK. There are even more Python-specific scientific computing extension libraries, such as the following three very classic scientific computing extension libraries: NumPy, SciPy and matplotlib, which provide fast array processing and numerical operations for Python respectively. and drawing functions. Therefore, the development environment composed of the Python language and its numerous extension libraries is very suitable for engineering and scientific researchers to process experimental data, make charts, and even develop scientific computing applications. In March 2018, the language author announced on the mailing list that Python 2.7 would end support on January 1, 2020. Users who want to continue to receive support related to Python 2.7 after this date will need to pay a commercial provider.
Recommended tutorial: "
Python TutorialThe above is the detailed content of What software is Python?. For more information, please follow other related articles on the PHP Chinese website!

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











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

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.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".