Creating classes in Python requires understanding the structure and usage scenarios. 1. Use class to define the class and initialize the properties through \_\_init\_\_, such as class Person: def \_\_init\_\_(self, name, age): self.name = name; self.age = age. 2. The method is used to operate attributes and must contain self parameters, such as say_hello and update_age methods. 3. Classes are templates, instances are specific objects, and each has independent attributes; class attributes are shared by all instances, modifying class attributes affects all instances, but modifying instance attributes alone does not affect other instances. Master these core points and write Python classes with clear functions.
Creating a class in Python is not difficult, the focus is on understanding the basic structure and usage scenarios of the class. Simply put, a class is a template for creating an object, which you can use to define the properties and methods of an object. Next, let’s take a look at how to write a Python class step by step.

Define the basic structure of a class
Python uses the class
keyword to define a class, and the basic format is as follows:

class class name: # Properties and methods
For example, if we want to define a class that represents "people", we can write it like this:
class Person: def __init__(self, name, age): self.name = name self.age = age def says_hello(self): print(f"Hello, my name is {self.name}")
Here are a few key points:

-
__init__
is a constructor used to initialize the properties of an object. -
self
means the instance itself and must be passed in as the first parameter. -
say_hello
is an instance method that can be called on an object.
Add properties and methods
The core function of a class is to encapsulate data and behavior. Attributes are usually variables, and methods are functions.
Common practices:
- Initialize attributes in
__init__
- Define other methods to manipulate these properties
For example, we can add a method to modify the age of Person
class above:
def update_age(self, new_age): if new_age > 0: self.age = new_age
You can also add a method to calculate age in ten years:
def age_in_ten_years(self): return self.age 10
Note: Do not forget to add self
parameter in the method, otherwise an error will be reported during runtime.
The relationship between classes and instances
A class is a blueprint, and an instance is a specific object. for example:
p1 = Person("Alice", 30) p2 = Person("Bob", 25)
These two instances are independent, each with their own name
and age
.
You can also add class attributes to the class, which are shared by all instances:
class Person: species = "Human" print(p1.species) # output Human print(p2.species)
If you modify the class attributes:
Person.species = "AI" print(p1.species) # Become AI
But if you only modify the properties of one instance, it will not affect other instances:
p1.species = "Robot" print(p1.species) # Robot print(p2.species) # Still AI
Basically that's it. By mastering the use of class structures, constructors, properties and methods, you can write Python classes with clear functions. In actual development, advanced features such as inheritance and static methods can also be used, but that is the next step.
The above is the detailed content of How to create a python class. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

The key to dealing with API authentication is to understand and use the authentication method correctly. 1. APIKey is the simplest authentication method, usually placed in the request header or URL parameters; 2. BasicAuth uses username and password for Base64 encoding transmission, which is suitable for internal systems; 3. OAuth2 needs to obtain the token first through client_id and client_secret, and then bring the BearerToken in the request header; 4. In order to deal with the token expiration, the token management class can be encapsulated and automatically refreshed the token; in short, selecting the appropriate method according to the document and safely storing the key information is the key.

Assert is an assertion tool used in Python for debugging, and throws an AssertionError when the condition is not met. Its syntax is assert condition plus optional error information, which is suitable for internal logic verification such as parameter checking, status confirmation, etc., but cannot be used for security or user input checking, and should be used in conjunction with clear prompt information. It is only available for auxiliary debugging in the development stage rather than substituting exception handling.

A common method to traverse two lists simultaneously in Python is to use the zip() function, which will pair multiple lists in order and be the shortest; if the list length is inconsistent, you can use itertools.zip_longest() to be the longest and fill in the missing values; combined with enumerate(), you can get the index at the same time. 1.zip() is concise and practical, suitable for paired data iteration; 2.zip_longest() can fill in the default value when dealing with inconsistent lengths; 3.enumerate(zip()) can obtain indexes during traversal, meeting the needs of a variety of complex scenarios.

TypehintsinPythonsolvetheproblemofambiguityandpotentialbugsindynamicallytypedcodebyallowingdeveloperstospecifyexpectedtypes.Theyenhancereadability,enableearlybugdetection,andimprovetoolingsupport.Typehintsareaddedusingacolon(:)forvariablesandparamete

InPython,iteratorsareobjectsthatallowloopingthroughcollectionsbyimplementing__iter__()and__next__().1)Iteratorsworkviatheiteratorprotocol,using__iter__()toreturntheiteratorand__next__()toretrievethenextitemuntilStopIterationisraised.2)Aniterable(like

To create modern and efficient APIs using Python, FastAPI is recommended; it is based on standard Python type prompts and can automatically generate documents, with excellent performance. After installing FastAPI and ASGI server uvicorn, you can write interface code. By defining routes, writing processing functions, and returning data, APIs can be quickly built. FastAPI supports a variety of HTTP methods and provides automatically generated SwaggerUI and ReDoc documentation systems. URL parameters can be captured through path definition, while query parameters can be implemented by setting default values ??for function parameters. The rational use of Pydantic models can help improve development efficiency and accuracy.

To test the API, you need to use Python's Requests library. The steps are to install the library, send requests, verify responses, set timeouts and retry. First, install the library through pipinstallrequests; then use requests.get() or requests.post() and other methods to send GET or POST requests; then check response.status_code and response.json() to ensure that the return result is in compliance with expectations; finally, add timeout parameters to set the timeout time, and combine the retrying library to achieve automatic retry to enhance stability.

In Python, variables defined inside a function are local variables and are only valid within the function; externally defined are global variables that can be read anywhere. 1. Local variables are destroyed as the function is executed; 2. The function can access global variables but cannot be modified directly, so the global keyword is required; 3. If you want to modify outer function variables in nested functions, you need to use the nonlocal keyword; 4. Variables with the same name do not affect each other in different scopes; 5. Global must be declared when modifying global variables, otherwise UnboundLocalError error will be raised. Understanding these rules helps avoid bugs and write more reliable functions.
