This article will share the knowledge about descriptors in Python. It is very good and has reference value. Friends who need it can refer to it
Definition
Usually, a descriptor is an object property with "binding behavior". The bound behavior can be overridden by custom __get__() , __set__() and __delete__() methods through the descriptor protocol. If any of the above three methods of an object is overridden, it can be called a descriptor.
The default operations for properties are to get, set, and delete a property from the object dictionary. For example, if a. If an object in the search chain has a descriptor method defined, Python will override the default behavior.
Descriptor is a powerful tool. Although developers do not often come into contact with it, it is actually the operating mechanism behind classes, properties, functions, methods, static methods, class methods and super().
Descriptor protocol
The three method prototypes are as follows:
descr.__get__(self, obj, type=None) --> value descr.__set__(self, obj, value) --> None descr.__delete__(self, obj) --> None
The data descriptor has both_ Objects with _get__() and __set__() methods, if they only have __get__() methods, are non-data descriptors. If there is an entry with the same name as the data descriptor in the instance dictionary, the data descriptor has higher priority. In contrast, non-data descriptors have low priority.
Let the __set__() method throw an exception to create a read-only data descriptor.
Call descriptor
descriptor can be called directly through the method name. For example, d.__get__(obj) .
It is more common to automatically call the descriptor by accessing the object properties. For example, if d defines the method __get__(), then obj.d calls d.__get__(obj).
For objects, b.x will be converted to type(b).__dict__['x'].__get__(b, type(b)) . And for classes (yes, classes can be called too), B.x will be converted to B.__dict__['x'].__get__(None, B) .
Descriptor Example
class RevealAccess(object): """A data descriptor that sets and returns values normally and prints a message logging their access. """ def __init__(self, initval=None, name='var'): self.val = initval self.name = name def __get__(self, obj, objtype): print('Retrieving', self.name) return self.val def __set__(self, obj, val): print('Updating', self.name) self.val = val >>> class MyClass(object): ... x = RevealAccess(10, 'var "x"') ... y = 5 ... >>> m = MyClass() >>> m.x Retrieving var "x" 10 >>> m.x = 20 Updating var "x" >>> m.x Retrieving var "x" 20 >>> m.y 5
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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.

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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.

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