In fact, Python is not a new favorite in all programming languages. The first version was released in 1991, and it has been almost 30 years since.
In recent years, with the popularity of artificial intelligence, Python has rapidly warmed up and become the language of choice for many AI practitioners.
According to the machine learning and data science survey released by the data platform Kaggle, Python is the language most used by data scientists and artificial intelligence practitioners in terms of tool language usage.
Python is also at the top of the list of the most popular programming languages ​​released by IEEE Spectrum.
So why is Python so hot now?
1.Python is a human language
Developers don't need to pay attention
Simple and intuitive syntax
Consistent expression
Let's take "Hello World" as an example to see the code in several languages:
C language code:
Int main(){ printf("Hello, World!"); return 0;}
Java code:
Public class HelloWorld { public staTIc void main(String[] args){ System.out.println("Hello World!"); }}
Python code:
Print("Hello World!")
Of course, just a "Hello World", C and Java code is not a few lines. But don't forget that C and Java code must be compiled before they can be run.
Python does not need to be compiled and runs directly. And you can not write files, a statement can be run directly as a command line.
2. Powerful AI support library
Matrix Operations
NumPy was created by data scientist Travis Oliphant and supports dimensional arrays and matrix operations. Combined with Python's built-in math and random libraries, it is called AI data artifact! With them, you can safely play the matrix!
ML model
Implementing most of the classic models in Python, tens of hundreds of lines of code is enough.
Of course, for ordinary users, you can even use the algorithm, just call the Scikit-Learn interface.
Support chart
Python also has a number of support libraries for charts. It is very simple to use to generate various graphical forms.
Nowadays, the status of artificial intelligence technology in modern society is becoming more and more important, especially in the fields of automation and data-driven, such as image recognition, robotics, search engine, and autonomous driving technology. With the help of AI and data science, the Python language has climbed to the top of the programming language ecosystem. It can be said that Python and AI are tightly bundled together.
Python is easy to read and write, so it's often called pragmatism, and it's easy for non-programmers or developers to get started. In addition, Python can meet a variety of development needs, providing programmers with a variety of options, if you are used to using Python, it is easy to jump from one industry to another.
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