Since the birth of the Python language in the early 1990s, it has gradually been widely used in the processing of system management tasks and Web programming.
In 1991, the first Python compiler (also an interpreter) was born. It is implemented in C language and can call C libraries (.so files). Since its birth, Python has had: classes, functions, exception handling, core data types including lists and dictionaries, and module-based Expand the system. (Recommended learning: Python video tutorial)
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 [3] 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 scientific computing extension libraries dedicated to Python.
For example:
The following three very classic scientific computing extension libraries: NumPy, SciPy and matplotlib, which respectively provide fast array processing, numerical operations and Drawing function. 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.
For more Python related technical articles, please visit the Python Tutorial column to learn!
The above is the detailed content of When did python come out?. For more information, please follow other related articles on the PHP Chinese website!

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于Seaborn的相关问题,包括了数据可视化处理的散点图、折线图、条形图等等内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于进程池与进程锁的相关问题,包括进程池的创建模块,进程池函数等等内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于简历筛选的相关问题,包括了定义 ReadDoc 类用以读取 word 文件以及定义 search_word 函数用以筛选的相关内容,下面一起来看一下,希望对大家有帮助。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于数据类型之字符串、数字的相关问题,下面一起来看一下,希望对大家有帮助。

VS Code的确是一款非常热门、有强大用户基础的一款开发工具。本文给大家介绍一下10款高效、好用的插件,能够让原本单薄的VS Code如虎添翼,开发效率顿时提升到一个新的阶段。

本篇文章给大家带来了关于Python的相关知识,其中主要介绍了关于numpy模块的相关问题,Numpy是Numerical Python extensions的缩写,字面意思是Python数值计算扩展,下面一起来看一下,希望对大家有帮助。

pythn的中文意思是巨蟒、蟒蛇。1989年圣诞节期间,Guido van Rossum在家闲的没事干,为了跟朋友庆祝圣诞节,决定发明一种全新的脚本语言。他很喜欢一个肥皂剧叫Monty Python,所以便把这门语言叫做python。


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

Dreamweaver Mac version
Visual web development tools

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

Atom editor mac version download
The most popular open source editor

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

SublimeText3 Chinese version
Chinese version, very easy to use
