


Python server programming: Interacting with MySQL databases using PyMySQL
Python is a popular high-level programming language with a rich library and framework that can be used to develop various types of applications. In the field of server programming, Python can be used not only to develop web applications but also to interact with various databases.
This article will introduce how to use Python to interact with the MySQL database. We will use PyMySQL as the library for Python to interact with MySQL.
1. Install the PyMySQL library
Before using the PyMySQL library, you need to install it first. Open a terminal or command prompt and enter the following command to install:
pip install PyMySQL
2. Connect to the MySQL database
To connect to the MySQL database, we need to know the host name and port number of the MySQL server ,user name and password.
We can connect to the MySQL database using the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 关闭数据库连接 db.close()
In this code, we have used the connect()
of the pymysql
library Function to connect to a MySQL database. The parameters of this function include information such as host name, port number, user name and password.
In addition, we also specify the name of the database to connect to, which is passed through the database
parameter. In the code below, we will continue to use this connection.
3. Create a table
Before interacting with the MySQL database, we need to create a table. We can create a table named users
in a MySQL database using the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 创建表 cursor = db.cursor() cursor.execute('DROP TABLE IF EXISTS users') sql = '''CREATE TABLE users ( id INT(11) NOT NULL AUTO_INCREMENT, name VARCHAR(20) NOT NULL, email VARCHAR(30) NOT NULL, password VARCHAR(30) NOT NULL, PRIMARY KEY (id))''' cursor.execute(sql) # 关闭数据库连接 db.close()
In this code, we define a table named users
table and defines four columns: id
, name
, email
, and password
. Among them, id
is the primary key, using the INT
data type, name
and email
are saved using the VARCHAR
data type The string, password
is also a string saved using the VARCHAR
data type. The table creation process uses MySQL SQL statements. Note that we also set up an auto-increment column in the users
table, which will automatically increment.
4. Insert data
Now that we have created the users
table, we can start inserting data into the table. We can insert some data into this table using the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 插入数据 cursor = db.cursor() sql = "INSERT INTO users(name, email, password) VALUES (%s, %s, %s)" values = [('Alice', 'alice@email.com', '123456'), ('Bob', 'bob@email.com', '789012'), ('Charlie', 'charlie@email.com', '345678')] cursor.executemany(sql, values) db.commit() # 关闭数据库连接 db.close()
In this code, we first insert multiple data into users using the
executemany() function
table. The first parameter of this function specifies the SQL statement to be executed, and the second parameter is a tuple or list containing the data to be inserted. Note that we used the placeholder %s
to represent the actual value to be inserted.
After calling the executemany()
function, we must call the commit()
method to save the data to the database.
5. Query data
To retrieve data from the users
table, we can use the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 查询数据 cursor = db.cursor() sql = "SELECT * FROM users" cursor.execute(sql) results = cursor.fetchall() for row in results: id = row[0] name = row[1] email = row[2] password = row[3] print("{} - {} - {} - {}".format(id, name, email, password)) # 关闭数据库连接 db.close()
In this code, we Use the SELECT
statement to retrieve all rows from the users
table. Then, use the fetchall()
method to get all retrieved rows and use a loop to process each row as a tuple. Finally, we print the output based on the column values of each row.
6.Update data
To update the data in the users
table, we can use the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 更新数据 cursor = db.cursor() sql = "UPDATE users SET password = %s WHERE name = %s" values = ('abcdef', 'Alice') cursor.execute(sql, values) db.commit() # 关闭数据库连接 db.close()
In this code, we Use the UPDATE
statement to update the password of the user named Alice
to abcdef
. The code uses a SQL statement with parameters, where %s
is a placeholder. We also wrap the actual value to be updated in a tuple and pass it to the execute()
function.
7. Delete data
To delete data from users
table, we can use the following Python code:
import pymysql # 打开数据库连接 db = pymysql.connect(host='localhost', port=3306, user='root', password='', database='test') # 删除数据 cursor = db.cursor() sql = "DELETE FROM users WHERE email = %s" value = ('bob@email.com',) cursor.execute(sql, value) db.commit() # 关闭数据库连接 db.close()
In this code, we Use the DELETE
statement to delete the user whose email address is bob@email.com
.
Summary
In this article, we introduced how to use Python to interact with the MySQL database and used the pymysql
library as a bridge between Python and MySQL. We learned how to connect to a MySQL database, create tables, insert data, update data, and delete data, which are common tasks that are often involved when developing web applications. By mastering these skills, you can start using Python to build powerful server applications, as well as interact with a variety of databases.
The above is the detailed content of Python server programming: Interacting with MySQL databases using PyMySQL. For more information, please follow other related articles on the PHP Chinese website!

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.

Python 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'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.

Whether 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 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.

Is 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.

Key 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 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

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

WebStorm Mac version
Useful JavaScript development tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.