


Introduction to Python functions: functions and usage examples of the vars function
Introduction to Python functions: functions and usage examples of the vars function
In Python programming, vars() is a very useful built-in function that returns an object's A dictionary of properties and values. This function can be used to obtain all properties and corresponding values of an object, including variables, functions, classes, modules, etc.
The vars() function can accept one parameter, which is an object. If no parameters are passed in, the vars() function will return a dictionary of all global variables in the current scope. If a parameter is passed in, a dictionary of all attributes and corresponding values of the object is returned.
The following is a simple example to show the use of vars() function:
class Person: def __init__(self, name, age): self.name = name self.age = age person = Person("Alice", 30) print(vars(person))
In this example, we define a Person class, which has two attributes: name and age . Then a Person object person is created and two parameters are passed in. Finally, by calling the vars() function, we can get the dictionary of attributes and corresponding values of the person object. Running this code, the output is as follows:
{'name': 'Alice', 'age': 30}
In addition to objects, we can also use the vars() function to obtain the module's attributes and corresponding values. The following is an example:
import math print(vars(math))
In this example, we imported Python's built-in math module and called the vars() function to obtain a dictionary of the module's attributes and corresponding values. Running this code, the output result is as follows:
{'__name__': 'math', '__doc__': 'This module provides access to the mathematical functions defined by the C standard.', '__package__': 'math', '__loader__': <class '_frozen_importlib.BuiltinImporter'>, '__spec__': ModuleSpec(name='math', loader=<class '_frozen_importlib.BuiltinImporter'>), 'e': 2.718281828459045, 'pi': 3.141592653589793, ...}
By using the vars() function, we can obtain a dictionary of all attributes of the math module and corresponding values, including the ringing sand number e, pi, etc.
In addition to classes and modules, the vars() function can also be used inside functions. The following is an example:
def example_function(): var1 = 1 var2 = 2 print(vars()) example_function()
In this example, we define a function named example_function(), which defines two variables var1 and var2 internally, and obtains the current value by calling the vars() function A dictionary of all variables in the scope and their corresponding values. Running this code, the output is as follows:
{'var1': 1, 'var2': 2}
By using the vars() function, we can obtain a dictionary of all variables and corresponding values inside the function.
To summarize, the vars() function is a very convenient built-in function that is often used in Python programming. It can be used to obtain a dictionary of attributes and corresponding values within objects, modules, and functions. By calling the vars() function, we can easily obtain all properties and corresponding values of the object, and then operate and process them. At the same time, the vars() function can also help us understand the variables inside modules and functions, providing a convenient debugging tool.
The above is the detailed content of Introduction to Python functions: functions and usage examples of the vars function. For more information, please follow other related articles on the PHP Chinese website!

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...


Hot AI Tools

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

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

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Atom editor mac version download
The most popular open source editor

SublimeText3 Linux new version
SublimeText3 Linux latest version

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),