List (list) is the most commonly used Python data type, which can appear as a comma-separated value within square brackets.
The data items in the List do not need to be of the same type. The operations that can be performed include indexing (the first index is 0, the second index is 1, and so on), slicing, addition, multiplication, Check members etc.
To create a list, just enclose the different data items separated by commas in square brackets, as shown below:
list1 = ['physics', 'chemistry', 1997, 2000] list2 = [1,2,3,4,5] list3 = ["a", "b", "c", "d"]
Like the index of the string, the List index starts from 0 , you can perform operations such as interception and combination.
Access the values in the list
Use subscript index to access the values in the list, you can also use square brackets to intercept characters, as shown below:
list1[0] ; #取第一个元素 list1[-1] # 取最后一个元素 list1[ : ] 或者 list1[ : len(list1)] # 取所有列表元素 list1[0 : n] # 从第0号取到n-1号元素
The output is as follows:
##Update list
You can modify or update the data items of the list, or you can use the append() method to add list items, as shown below:list1[0] = 'D' # 修改元素值 list1.append('E') # 列表添加元素 list1.insert(0 , 'F') # 在某处插入元素Specific example:
Delete list elements
You can use the del statement to delete elements of the list.del list1[0] # 删除元素
list1.remove('1') # 移除第一次出现的元素
list1.pop() # 移出元素，默认从最后移出，返回该元素值；括号中可加入元素索引值来移除
Python List Script Operator
The operators of list pairs and * are similar to strings. The symbol is used to combine lists, and the * symbol is used to repeat lists.
Python List Functions & Methods
Python contains the following functions:
python video tutorials, welcome to learn online!
The above is the detailed content of What is the usage of lists in python. 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
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),
SublimeText3 English version
Recommended: Win version, supports code prompts!
SublimeText3 Chinese version
Chinese version, very easy to use
Dreamweaver Mac version
Visual web development tools
VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft
