


The Ultimate Guide to Python Database Operations: Become a Master of Database Operations
The Ultimate Guide to Python Database Operations
Operation database in python is like a delicious dinner. You must not only learn to choose the appropriate tools, but also master the cooking skills. Just like you are the master of the kitchen, the sqlAlchemy library is your toolbox. It not only helps you easily connect to different databases, such as Mysql , postgresql and SQLite, it also allows you to perform database operations in the form of objects, which is simply a powerful assistant for database operations.
Connect to the database
Connecting to the database is as easy as watering the garden and only requires a few lines of code. First, we need to import the SQLAlchemy library, and then create an Engine object, which is like a water pipe and can be connected to the database.
import sqlalchemy as sa engine = sa.create_engine("mysql+pymysql://username:passWord@localhost/database_name")
Create Session
Session is like a container that allows you to operate the database. You need to create a Session before each database operation.
session = engine.sessionmaker()()
CRUD operation
CRUD is the four magic weapons for database operations, representing Create, Read, Update and Delete.
Create data
Just like planting flowers in the database, you can use the Session.add() method to insert data into the database.
new_user = User(name="John Doe", email="johndoe@example.com") session.add(new_user) session.commit()
Read data
Just like picking flowers from the database, you can query data using the Session.query() method.
users = session.query(User).filter(User.name == "John Doe").all()
update data
Just like watering the flowers in the database, you can use the Session.query() method to query the data, and then use the .update() method to update the data.
session.query(User).filter(User.name == "John Doe").update({"email": "newjohndoe@example.com"}) session.commit()
delete data
Just like pulling flowers from the database, you can use the Session.query() method to query the data, and then use the .delete() method to delete the data.
session.query(User).filter(User.name == "John Doe").delete() session.commit()
Summarize
PythonDatabase operations are like cooking. Once you master the skills, you will be able to operate them with ease. By using the SQLAlchemy library, we can not only easily connect to different databases, but also perform database operations in the form of objects, just like a skilled chef, we can easily cook delicious dishes.
The above is the detailed content of The Ultimate Guide to Python Database Operations: Become a Master of Database Operations. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

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

Hot Topics



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 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.

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

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.

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".

Python excels in automation, scripting, and task management. 1) Automation: File backup is realized through standard libraries such as os and shutil. 2) Script writing: Use the psutil library to monitor system resources. 3) Task management: Use the schedule library to schedule tasks. Python's ease of use and rich library support makes it the preferred tool in these areas.

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.
