Compared with inheritance writing in C++, Python is more concise and efficient. Here is a simple Python inheritance example. EClass Member:
DEF __init __ (Self, name, Age):
Self.name = name
Self.age = Age
Print 'Member init:%s'%self.name
DEF TELL ( Self): in Print 'Name:%S, Age:%D'%(Self.name, Self.age),
Class Student (Member):
DEF __init __ (Self, Name, Age, Marks):
‐ Member.__init__ self.marks
def tell(self): " Member.__init__(self, name, age)
salary = salary
Print 'Teacher Init:%s'%seld.name
deftell (self):
member.tell (self)
print' salary:%d'%seld.salarly
s = Student('Tom', 20, 80)
t = Teacher('Mrs.Huang', 30, 50000)
members = [s, t]
for mem in members:
mem.tell()
Running effect:
[root@localhost hhl]
Member init:Tom
Student init:Tom
Member init:Mrs.Huang
Teacher init:Mrs.Huang
Name:Tom,Age: 20 Marks :80
Name:Mrs.Huang,Age:30 Salary:50000
We also write a C++ example with the same effect:
#include
#include
using namespace std ;
class Member
{ public:
Member(char *n, int a);
void tell();
private:
char name[10];
int age;
};
Member::Member(char *n, int a)
{
memcpy(name, n, sizeof(name));
age = a;
cout
}
void Member::tell()
{
cout
}
class Student:public Member
{
public:
Student(char *n, int a, int m);
void tell_s();
private:
int marks;
};
Student::Student(char *n, int a, int m):Member(n, a)
{
marks = m;
cout
}
void Student::tell_s()
{
Member::tell();
cout
}
class Teacher:public Member
{
public:
Teacher(char *n, int a, int s);
void tell_t();
private:
int salary;
};
Teacher::Teacher(char *n, int a, int s):Member(n, a)
{
salary = s;
cout
}
void Teacher::tell_t()
{
Member::tell();
cout
}
int main(void)
{
Student s("Tom", 20, 80);
Teacher t("Mrs.Huang", 30, 50000);
s.tell_s();
t.tell_t();
return 0;
}
运行效果:
[root@localhost hhl]
Member init:Tom
Student init:Tom
Member init:Mrs.Huang
Teacher init:Mrs.Huang
Name:Tom,Age:20,Marks:80
Name:Mrs.Huang,Age:30,Salary:50000
这两者的运行效果是一样的,但是python更简洁些。。。
以上就是Python类与继承讲解的内容,更多相关内容请关注PHP中文网(www.php.cn)!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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