PydbliteWebpy: Lightweight database access class library implemented in Python

PydBlite is a lightweight database access to a pure Python. It provides a simple and easy -to -use interface to perform database operations in Python applications.In this article, we will introduce the functions and usage of PYDBLITE in detail, and provide relevant programming code and configuration description. First, we need to install the PydBlite library.You can use the PIP command to install the latest version of PYDBLITE: `PIP Install Pydblite`. Once Pydblite is installed, we can start using it by importing related modules.The following is a basic example that shows how to use PydBlite to create a database, insert data and query them: python # Import pydblite module from pydblite import Base # Create a new database db = Base (': Memory:') # The database in memory can also be used to create a database on the disk # Define the database table structure db.create('Students', 'Name', 'Age') # Insert data db.Students.insert(Name="Alice", Age=20) db.Students.insert(Name="Bob", Age=22) db.Students.insert(Name="Charlie", Age=25) # Query data for student in db.Students: print(student['Name'], student['Age']) # update data db.Students.update(db.Students.Name == 'Alice', Age=21) # delete data db.Students.delete(db.Students.Age < 22) # Save the database change db.commit() In the above code, we first imported the `Pydblite` module and created a database in memory.Next, we defined a table called `Students` and specified the name of the table. Then we inserted three student records to the `Students` table with the` Insert` method.After that, we used the `for` to traverse all the records in the table of the` Students` and print the name and age of the student. Then, we used the `update` method to update the age of 21 students named` Alice`. Finally, we used the `Delete` method to delete a student record of younger age, and use the` Commit` method to save the database change. In addition to basic database operations, PYDBLITE also provides some other functions, such as index, sorting, filtering and data import/export.You can check the official documentation of Pydblite to learn more details. It should be noted that PYDBLITE is a lightweight database library that is suitable for small data sets and simple application scenarios.If a large amount of data is required or more high -level functions and performance, you may need to consider other more powerful database libraries, such as SQLite, MySQL or Postgresql. It is hoped that this article will help understand and use PydBlite and provide sufficient code examples and configuration descriptions.