


What are python enumeration types? A brief introduction to python enumeration types
This article brings you what is the Python enumeration type? A brief introduction to python enumeration types has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.
1: Definition of enumeration type
2: The difference between enumeration classes and ordinary classes
1: Values are immutable
2: It has the function of preventing the same label from changing the value of different labels It can be the same!
Three: Enumeration type, enumeration value, enumeration name
1: VIP.YELLOW.Value Get the value of the tag
2: VIP.BLACK.name Get the tag name
3 : The parts in the enumeration are enumeration types!
Four: Comparison between enumerations
1: Supports equality comparison and is, does not support size comparison
2: Comparison between different enumeration classes
5 : Notes on enumeration
When the values of different tags are the same, the second one will be used as an alias and will be overwritten when called!
It will not be printed when traversing. The solution is:
for v in VIP.__members__.items(): print(v)
6: Enumeration conversion
Remove the value corresponding to a certain value from the database (a = 1), Match the type of the enumeration based on the value of a
a = 1 print(VIP(a))
Seven: Others
1: IntEnum type description: The enumerations are all of int type!
2: Limit the values of enumeration types to not be the same
# ----------------------------------------------# # 定义一个枚举类型 # ----------------------------------------------# from enum import Enum from enum import IntEnum, unique class VIP(Enum): YELLOW = 1 GREEN = 2 BLACK = 3 RED = 4 class Common: YELLOW = 2 # 注意这里显示的是VIP.Black而不是3,枚举的意义重在标签而不是标签的值 print(VIP.BLACK) # ----------------------------------------------------# # 枚举类和普通类的区别 # 字典和普通类封装数据: 1:可变 2:没有防止相同标签得功能 # ----------------------------------------------------# # VIP.GREEN = 6 # 当改变值得时候报错 Common.YELLOW = 9 # 改变类变量的值 print(Common.YELLOW) x = Common() # 类的实例化 print(x.YELLOW) # ----------------------------------------------# # 枚举类型、枚举值、枚举名称 # ----------------------------------------------# print("Black = ", VIP.BLACK.value) # get value of Enum print("name = ", VIP.BLACK.name) # get value of Name,the type of name is str print(VIP.BLACK) # 名字为枚举类型 print(VIP['BLACK']) # 枚举可以被遍历 for v in VIP: print(v) # ----------------------------------------------# # 枚举之间的比较,支持等值比较,不支持大小比较 # ----------------------------------------------# result1 = VIP.GREEN == VIP.BLACK result2 = VIP.GREEN.value == 2 # 注意这里的结果 print(result1, result2) class VIP1(Enum): YELLOW = 1 GREEN = 2 BLACK = 3 RED = 4 WRITE = 5 result3 = VIP.GREEN == VIP1.GREEN print(result3) # ----------------------------------------------# # 枚举注意事项 # ----------------------------------------------# class VIP2(Enum): YELLOW = 1 GREEN = 1 # 别名 BLACK = 3 RED = 4 for v in VIP2: print(v) for v in VIP2.__members__.items(): print(v) for v in VIP2.__members__: print(v) # ----------------------------------------------# # 枚举转换 # ----------------------------------------------# a = 1 print(VIP(a)) # 可以看做是类型转换 # ----------------------------------------------# # 枚举补充 # ----------------------------------------------# # 1:IntEnum类型说明 class VIP3(Enum): YELLOW = 1 GREEN = "str" # 别名 BLACK = 3 RED = 4 class VIP4(IntEnum): YELLOW = 1 # GREEN = 'str' # 字符串报错 BLACK = 3 RED = 4 # 2:限制枚举类型的值不能一样 @unique class VIP6(Enum): YELLOW = 1 GREEN = 1 # 当值相同的时候会报错! BLACK = 3 RED = 4
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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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