Home Backend Development Python Tutorial What are the basic data types in Python?

What are the basic data types in Python?

Dec 11, 2023 pm 04:08 PM
python Basic data types

There are seven basic data types in Python. Detailed introduction: 1. Numbers. Python supports several types of numbers, including integers, floating point numbers, complex numbers and Boolean values; 2. Strings, which are composed of zero or An ordered sequence of characters composed of multiple characters. In Python, strings are immutable, which means that the characters in the string cannot be changed; 3. Lists are variable data types in Python and can contain any number and Type objects, lists are ordered and can contain repeated elements; 4. Tuples, similar to lists, etc.

What are the basic data types in Python?

The operating system for this tutorial: Windows 10 system, DELL G3 computer.

Python is a widely used high-level programming language designed to allow developers to write clear and easy-to-understand code more quickly. Python has a simple and easy-to-learn syntax and rich libraries and frameworks, and is suitable for a variety of application scenarios, including web development, data science, artificial intelligence, machine learning and other fields.

Python’s basic data types include numeric, string, list, tuple, dictionary and set types. Numeric types include integers, floating point types and complex numbers. Strings are immutable character sequences. Lists and tuples are mutable sequence types. Dictionaries are unordered collections of key-value pairs. Sets are unordered and do not contain A collection of repeated elements.

Python’s basic data types:

1. Numbers: Python supports several types of numbers, including integers (int) and floating point numbers (float) , complex and bool.

2. String: A string is an ordered sequence of characters consisting of zero or more characters. In Python, strings are immutable, which means you cannot change the characters in the string.

3. List: List is a variable data type in Python and can contain any number and type of objects. Lists are ordered and can contain repeated elements.

4. Tuple: Tuples are similar to lists, but they are immutable, which means that once a tuple is created, its contents cannot be changed. Tuples are often used to represent an ordered set of constants.

5. Set: A set is an unordered data type used to store unique elements. Sets provide some useful operations such as union, intersection, and difference.

6. Dictionary: A dictionary is an unordered collection of key-value pairs. Each element in the dictionary consists of a key and a value, the keys and values ​​are separated by colons, the elements are separated by commas, and the entire dictionary is enclosed in curly braces.

7. Boolean: Boolean is a special numeric type with only two values: True and False. In Python, True equals 1 and False equals 0. Boolean values ​​are mainly used in control flow statements, such as if statements.

These basic data types are the core part of the Python programming language, and understanding them is a key step in understanding and using Python.

Python also has powerful standard libraries and third-party libraries, such as NumPy, Pandas, Matplotlib, etc., which provide powerful tools for data processing, visualization and scientific computing. Python's easy-to-learn syntax and rich library make it an easy language to learn and use for both beginners and experienced developers.

The above is the detailed content of What are 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)

Hot Topics

Java Tutorial
1662
14
PHP Tutorial
1262
29
C# Tutorial
1235
24
PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Can visual studio code be used in python Can visual studio code be used in python Apr 15, 2025 pm 08:18 PM

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

See all articles