Backend Development
Python Tutorial
How to clear a list in Python? 4 ways to clear a list (code example)There are many ways to clear the list through different construction methods provided by the Python language. The following article will introduce you to 4 methods of clearing the list in Python. I hope it will be helpful to you.

Method 1: Reinitialize the list
You can reinitialize the list and initialize the items in the scope When using a list, the list will be initialized without a value, allowing the list to be cleared.
Code example:
List = [5, 6, 7] print('List清空前:', List) #重新初始化列表 List = [] print('List清空后:', List)
Output:

##Method 2: Use the clear() method
clear() method is used to clear the list. Basic syntax:list.clear()Code example:
List = [6, 0, 4, 1] print('List清空前:', List) #清空元素 List.clear() print('List清空后:', List)Output:

Method 3: Use "* = 0"
This is a little-known method, but This method removes all elements from the list and makes them empty. Code example:List = [8, 6, 16]
print ("List清空前 : " + str(List))
#重新初始化列表
List *= 0
print("List清空后:" + str(List))Output: 
##Method 4: Use del a[: ] del can be used to clear list elements in the range. If we do not give a range, all elements will be deleted to clear the list.
Code example
List1 = [8, 6, 16]
List2 = [4, 5, 7]
print ("List1清空前 : " + str(List1))
#使用del删除List1
del List1[:]
print("List1清空后:" + str(List1))
print('\n')
print ("List2清空前 : " + str(List2))
#使用del删除List2
del List2[:]
print("List2清空后:" + str(List2))Output:
Related video tutorial recommendation: "
" The above is the entire content of this article, I hope it will be helpful to everyone's study. For more exciting content, you can pay attention to the relevant tutorial columns of the PHP Chinese website! ! !
The above is the detailed content of How to clear a list in Python? 4 ways to clear a list (code example). For more information, please follow other related articles on the PHP Chinese website!
Python vs. C : Learning Curves and Ease of UseApr 19, 2025 am 12:20 AMPython 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.
Python vs. C : Memory Management and ControlApr 19, 2025 am 12:17 AMPython and C have significant differences in memory management and control. 1. Python uses automatic memory management, based on reference counting and garbage collection, simplifying the work of programmers. 2.C requires manual management of memory, providing more control but increasing complexity and error risk. Which language to choose should be based on project requirements and team technology stack.
Python for Scientific Computing: A Detailed LookApr 19, 2025 am 12:15 AMPython's applications in scientific computing include data analysis, machine learning, numerical simulation and visualization. 1.Numpy provides efficient multi-dimensional arrays and mathematical functions. 2. SciPy extends Numpy functionality and provides optimization and linear algebra tools. 3. Pandas is used for data processing and analysis. 4.Matplotlib is used to generate various graphs and visual results.
Python and C : Finding the Right ToolApr 19, 2025 am 12:04 AMWhether to choose Python or C depends on project requirements: 1) Python is suitable for rapid development, data science, and scripting because of its concise syntax and rich libraries; 2) C is suitable for scenarios that require high performance and underlying control, such as system programming and game development, because of its compilation and manual memory management.
Python for Data Science and Machine LearningApr 19, 2025 am 12:02 AMPython is widely used in data science and machine learning, mainly relying on its simplicity and a powerful library ecosystem. 1) Pandas is used for data processing and analysis, 2) Numpy provides efficient numerical calculations, and 3) Scikit-learn is used for machine learning model construction and optimization, these libraries make Python an ideal tool for data science and machine learning.
Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AMIs it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.
Python for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AMKey applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code
Python vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AMPython is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.


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.

SublimeText3 Linux new version
SublimeText3 Linux latest version

SublimeText3 Chinese version
Chinese version, very easy to use

Atom editor mac version download
The most popular open source editor

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





