The super() function has the following specific functions based on the two parameters passed in:
The class name passed in as the first parameter determines the current position in the MRO. MRO (Method Resolution Order);
Determine the current MRO list through self passed in as the second parameter.
def super(cls, inst): mro = inst.__class__.mro() #确定当前MRO列表 return mro[mro.index(cls) + 1] #返回下一个类
The following code:
class A(object): def name(self): print('name is xiaoming') #super(A,self).name()class B(object): def name(self): print('name is cat')class C(A,B): def name(self): print('name is wang') super(C,self).name()if __name__ == '__main__': c = C() print(c.__class__.__mro__) c.name()
Execute the above code output: When the super() function under class C is executed, the name function under class A is actually called. The super() function is commented out in A, so execution does not continue backwards. And the current MRO list order is printed out as C,A,B,object.
(<class '__main__.C'>, <class '__main__.A'>, <class '__main__.B'>, <class 'object'>)name is wang name is xiaoming
When we remove the comments in class A, the execution code output: You can see that when A is executed, execution continues The name() function in B. If there is still a super function in B, it will continue to look up to see if there is a name() function in object.
(<class '__main__.C'>, <class '__main__.A'>, <class '__main__.B'>, <class 'object'>)name is wang name is xiaoming name is cat
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Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


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