With the widespread popularity of Web applications, Python has become more and more widely used in the field of Web development. Many Python Web Frameworks today provide some ORM frameworks for operating databases. SQLObject is one of the very popular and easy-to-use ORM frameworks. This article will introduce in detail how to use the SQLObject framework.
- Install SQLObject
Using the pip tool can easily install SQLObject:
pip install sqlobject
- Connect to the database
First introduce the sqlobject library and use the connectionForURI method to connect to the database. The following is an example of a MySQL database connection:
import MySQLdb from sqlobject import * connection_string = 'mysql://user:password@localhost/database' connection = connectionForURI(connection_string) sqlhub.processConnection = connection
The user, password, localhost and database should be replaced with actual values.
- Define model class
When defining a model class, you must inherit the SQLObject class. The following is a simple definition example of the Person class:
class Person(SQLObject): name = StringCol(length=100) age = IntCol(default=0)
The Person class contains two fields: name and age. name is a string type with a length of 100, and age is an integer type with an initial value of 0. SQLObject provides several different types of columns, including StringCol, IntCol, FloatCol, DecimalCol, BoolCol, DateCol, DateTimeCol and TimeCol, etc. You can also set other properties of the column, such as default value, uniqueness, index, etc.
- Create table
To create a table in the database, just introduce the module that defines the model class in the Python shell or script and execute the createTable() method:
from models import Person Person.createTable()
If the table already exists, it will not be created again.
- Insert data
To insert data into the table, just create an instance of the model class and assign values to each field. For example:
john = Person(name='John Smith', age=30)
To save the instance to the database, call its save() method:
john.save()
At this time, a table named person will be created in the database and a name will be inserted. Record for John Smith, age 30.
- Querying data
SQLObject provides many methods for querying data in the database. The following are several commonly used method examples:
(1) Get all records
To get all records in the Person table, you can call the select() method of the Person class:
people = Person.select() for person in people: print(person.name, person.age)
This code will iterate through each record in the Person table and output their name and age field values.
(2) Filter records by conditions
To filter records by conditions, you can pass in a SQLExpression object in the select() method. For example, the following code will get everyone whose age is 30 or above:
people = Person.select(Person.age >= 30) for person in people: print(person.name, person.age)
Similarly, you can use operators such as , >=, ==, and != for comparison .
(3) Sort by field
To sort by field, you can pass in an OrderBy clause in the select() method. For example, the following code will sort the age field in ascending order:
people = Person.select(orderBy=Person.age) for person in people: print(person.name, person.age)
To sort in descending order, you can add a minus sign before the field name, for example:
people = Person.select(orderBy=-Person.age)
- Update data
To update data, just modify the attribute value of the model class instance and then call its save() method. For example, the following code will modify John Smith's age to 35:
john.age = 35 john.save()
- Delete data
To delete data, simply call the destroySelf() method of the model class instance That’s it. For example, the following code will delete a record named John Smith:
john.destroySelf()
- Summary
SQLObject is a very convenient ORM framework that can greatly simplify Python web development Operations on the database. This article introduces the basic usage of SQLObject, including connecting to the database, defining model classes, creating tables, inserting data, querying data, updating data and deleting data. I hope readers can try using SQLObject for Python web development.
The above is the detailed content of Detailed explanation of ORM framework SQLObject in Python. 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

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

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.

SublimeText3 Chinese version
Chinese version, very easy to use