Home Backend Development Python Tutorial Detailed explanation of Python data types: Comprehensive understanding of the basic data types in Python

Detailed explanation of Python data types: Comprehensive understanding of the basic data types in Python

Jan 20, 2024 am 08:56 AM

Detailed explanation of Python data types: Comprehensive understanding of the basic data types in Python

Encyclopedia of Python basic data types: To fully understand Python’s data type classification, specific code examples are required

In the Python programming language, data types are a very important concept. Python provides a wealth of data types for storing and manipulating different types of data. In this article, we will introduce Python's basic data types and provide specific code examples to help readers better understand and use these data types.

  1. Number type
    Number type is one of the most basic data types in Python. Python provides two number types: integer (int) and floating point number (float). Integers can represent integral values, while floating point numbers can represent numerical values ​​with decimals.

The following are application examples of numeric types:

num1 = 10  # 整数类型
num2 = 3.14  # 浮点数类型

# 进行加法运算
result = num1 + num2
print(result)  # 输出:13.14

# 进行乘法运算
result = num1 * num2
print(result)  # 输出:31.400000000000002

# 进行除法运算
result = num1 / num2
print(result)  # 输出:3.1847133757961785
Copy after login
  1. String type
    String is the data type used to represent text in Python. A string consists of a series of characters, which can be represented by single quotes (') or double quotes (").

The following is an application example of the string type:

str1 = 'Hello, World!'  # 使用单引号表示字符串
str2 = "Python Programming"  # 使用双引号表示字符串

print(str1)  # 输出:Hello, World!
print(str2)  # 输出:Python Programming

# 字符串拼接
result = str1 + ' ' + str2
print(result)  # 输出:Hello, World! Python Programming

# 字符串长度
length = len(str1)
print(length)  # 输出:13

# 字符串切片
slice = str2[0:6]
print(slice)  # 输出:Python
Copy after login
  1. List type
    A list is a data type used in Python to represent a set of ordered elements. The elements in the list can be different types of data, including numbers, strings, etc.

The following is an application example of the list type:

list1 = [1, 2, 3, 4, 5]  # 整数类型列表
list2 = ['apple', 'banana', 'orange']  # 字符串类型列表

print(list1)  # 输出:[1, 2, 3, 4, 5]
print(list2)  # 输出:['apple', 'banana', 'orange']

# 列表长度
length = len(list1)
print(length)  # 输出:5

# 列表元素访问
element = list2[1]
print(element)  # 输出:banana

# 列表元素修改
list1[0] = 10
print(list1)  # 输出:[10, 2, 3, 4, 5]

# 列表元素添加
list2.append('grape')
print(list2)  # 输出:['apple', 'banana', 'orange', 'grape']
Copy after login
  1. Tuple type
    Tuple is a data type used to represent an immutable ordered collection of elements in Python. Unlike a list, the Elements cannot be modified.

The following is an application example of the tuple type:

tuple1 = (1, 2, 3, 4, 5)  # 整数类型元组
tuple2 = ('apple', 'banana', 'orange')  # 字符串类型元组

print(tuple1)  # 输出:(1, 2, 3, 4, 5)
print(tuple2)  # 输出:('apple', 'banana', 'orange')

# 元组长度
length = len(tuple1)
print(length)  # 输出:5

# 元组元素访问
element = tuple2[1]
print(element)  # 输出:banana
Copy after login
  1. Dictionary type
    A dictionary is used in Python to represent a collection of key-value pairs Data type. Elements in the dictionary are accessed using keys, which must be unique.

The following is an application example of the dictionary type:

dict1 = {'name': 'Alice', 'age': 25, 'city': 'New York'}  # 字符串类型键的字典
dict2 = {1: 'apple', 2: 'banana', 3: 'orange'}  # 整数类型键的字典

print(dict1)  # 输出:{'name': 'Alice', 'age': 25, 'city': 'New York'}
print(dict2)  # 输出:{1: 'apple', 2: 'banana', 3: 'orange'}

# 字典元素访问
value = dict1['name']
print(value)  # 输出:Alice

# 字典元素修改
dict1['age'] = 30
print(dict1)  # 输出:{'name': 'Alice', 'age': 30, 'city': 'New York'}

# 字典元素添加
dict1['gender'] = 'female'
print(dict1)  # 输出:{'name': 'Alice', 'age': 30, 'city': 'New York', 'gender': 'female'}
Copy after login

Through this article, we have introduced in detail Python's basic data types include numeric types, string types, list types, tuple types and dictionary types. In order to help readers better understand and use these data types, we also provide specific code examples. I hope this article will be helpful to everyone Python learning helps!

The above is the detailed content of Detailed explanation of Python data types: Comprehensive understanding of the basic data types in Python. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How to solve the permissions problem encountered when viewing Python version in Linux terminal? How to solve the permissions problem encountered when viewing Python version in Linux terminal? Apr 01, 2025 pm 05:09 PM

Solution to permission issues when viewing Python version in Linux terminal When you try to view Python version in Linux terminal, enter python...

How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? How to avoid being detected by the browser when using Fiddler Everywhere for man-in-the-middle reading? Apr 02, 2025 am 07:15 AM

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

How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? How to efficiently copy the entire column of one DataFrame into another DataFrame with different structures in Python? Apr 01, 2025 pm 11:15 PM

When using Python's pandas library, how to copy whole columns between two DataFrames with different structures is a common problem. Suppose we have two Dats...

How does Uvicorn continuously listen for HTTP requests without serving_forever()? How does Uvicorn continuously listen for HTTP requests without serving_forever()? Apr 01, 2025 pm 10:51 PM

How does Uvicorn continuously listen for HTTP requests? Uvicorn is a lightweight web server based on ASGI. One of its core functions is to listen for HTTP requests and proceed...

How to solve permission issues when using python --version command in Linux terminal? How to solve permission issues when using python --version command in Linux terminal? Apr 02, 2025 am 06:36 AM

Using python in Linux terminal...

How to teach computer novice programming basics in project and problem-driven methods within 10 hours? How to teach computer novice programming basics in project and problem-driven methods within 10 hours? Apr 02, 2025 am 07:18 AM

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 get news data bypassing Investing.com's anti-crawler mechanism? How to get news data bypassing Investing.com's anti-crawler mechanism? Apr 02, 2025 am 07:03 AM

Understanding the anti-crawling strategy of Investing.com Many people often try to crawl news data from Investing.com (https://cn.investing.com/news/latest-news)...

See all articles