How to operate mysql in python: first enter the command line pip install pymysql to import the package; then open the pycham editor to create a python file, enter import pymysql to import the package; finally operate the database through the cursor.
The operating environment of this tutorial: windows7 system, mysql8.0.22&&python3.9 version, DELL G3 computer. This method is suitable for all brands of computers.
Related free learning recommendations: mysql video tutorial, python video tutorial
How to operate mysql in python:
1. First, enter the command line pip install pymysql
on the virtual machine or the local cmd command line to import the package. The initial package import takes a long time, just wait patiently for the data to be loaded.
Note: If your python is running locally, import the package in cmd. If you are running in a virtual machine, you can import the package in Xshell.
2. Open the pycham editor to create a python file, then enter import pymysql
to import the package, and then establish a connection data inventory and python connection.
con =pymysql.connect( host = '127.0.0.1', port =3306, user = 'mango', password = '123456', db = 'test1', charset = 'utf8' )
Note: host is the local IP address, port is the port number, user is the database username, and password is the database password. db refers to the data name of the operation, and charset is the encoding format.
3. After setting up the connection between Python and the database, define a cursor and operate the database through the cursor. The definition method is as follows: cur = con.cursor( )
4. Use cur.execute() to execute sql statements, such as querying all tables in the data inventory. The specific operations are as follows:
row = cur.execute('show tables') print(row)
5. Through the above operation, we can see how many tables there are in the database, so how to get out the data in the table.
At this time, cur.fetchall()
will be used to fetch data. The specific operations are as follows:
all = cur.fetchall() print(all)
6. After learning to simply execute sql statements and get data, we can start to create tables in the database through python. Create a variable to receive the sql statement. Use triple quotes to facilitate free line breaks when editing the sql statement. The specific operations are as follows:
table = ''' create table test0( id INT, name CHAR(10) )''' cur.execute(table)
Note: After creating the table, you need to comment out cur.execute(table) to avoid repeated execution of sql statements, resulting in error reminders.
7. After creating the table, we can insert data into the table. At this time, we need to use conn.commit() to commit the transaction, otherwise the data will not be written. to the database. The specific operations are as follows:
cur.execute(”insert test0 value(1,‘小王’)”) con.commit()
8. Through the above operations, we have learned how to insert a piece of data into the database. So what if we want to insert multiple pieces of data into the database? At this time You need to use cur.executemany()
. The specific operation is as follows:
cur.executemany(“INSERT test0 VALUE(%s,%s)”,[(2,‘小白’),(3,’小五’)]) con.commit()
9. Then we can view it through the previous aspect of fetching data. The data in the test0 table, the specific operations are as follows:
select = cur.execute('SELECT * FROM test0') all = cur.fetchall() print(all)
10. Finally, when we finish and continue programming, we need to close the cursor and disconnect.
cur.close()关闭游标 con.close()关闭连接
The above is the detailed content of How python operates mysql. For more information, please follow other related articles on the PHP Chinese website!

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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

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

Hot Article

Hot Tools

MantisBT
Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version
Useful JavaScript development tools