Which country does python come from?

Python is a programming language, regardless of nationality. The founder is the Dutch "Guido van Rossum". During the Christmas period of 1989, in order to kill the boredom of Christmas, Guido developed a new script interpreter program as an inheritance of the ABC language and named it "Python".

The development history of Python

During Christmas in 1989, The Dutchman Guido van Rossu In order to kill the boredom of Christmas, Guido van Rossum developed a new script interpreter as an inheritance of the ABC language. The reason why Python was chosen as the name of this programming language was taken from the British TV comedy "Monty Python's Flying Circus" which first aired in the 1970s.

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. It was named the 2010 Language of the Year by the TIOBE Programming Language Ranking. After a few years, it was once again named the 2018 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. 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 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.

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