Lists are an integral part of daily programming in Python, and it is essential to understand the related operations of lists. The following article will show you how to get the length of a list in Python. I hope it will be helpful to you.
Method 1: Loop Counter
In this method, just run a loop and increment Counter, until the last element of the list is traversed, its count is obtained, which is the length of the list. This method is the most basic way to get the length of a list.
Code example: Using a loop to traverse the counter to get the list length
# 初始化列表 List = [ 1, 4, 5, 7, 8 ] # 输出列表 print ("列表为: " + str(List)) # 初始化计数器,使用循环查找列表长度 counter = 0 for i in List: #递增计数器 counter = counter + 1 # 输出列表长度 print ("列表长度为: " + str(counter))
Output:
##Method 2: Use len()
Python len() method to return the length or number of items of an object (character, list, tuple, etc.). It provides the most common and simplest way to find the length of any list; it is also the most common technique employed today.Code example: Use the len() method to get the list length
Example 1:# 初始化列表 List = [ "php", "python", 3, 7,"html" ] List.append(6) List.append("Hello") # 输出列表 print ("列表为: " + str(List)) # 输出列表长度 print ("列表长度为: " ,len(List))Output:
n = len([10, 20, 30]) # 输出列表长度 print ("列表长度为:" ,n)Output:
列表长度为:3
Method 3: Using length_hint()
Code example: Use the length_hint() method to get the list length
from operator import length_hint # 初始化列表 List = [ 1, 4, 5, 7, 8 ] # 输出列表 print ("列表为: " + str(List)) list_len_hint =length_hint(List) # 输出列表长度 print ("列表长度为: " + str(list_len_hint))Output:
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

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.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

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.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python 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.


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