SQLITE3: A Python repository from OsandaLelum

SQLite is a self-contained, serverless, and zero-configuration database engine that is widely used in various applications for local data storage. It is not a specific version of SQL but rather a database management system that implements a subset of SQL (Structured Query Language) for managing and querying relational databases.

SQLite features:

Serverless and Zero-Configuration: SQLite doesn't require a separate server process to operate. It operates directly on the data files, making it easy to set up and use without any complex configurations.
Self-Contained: The entire database system is contained within a single file, which makes it highly portable and easy to distribute.
Cross-Platform: SQLite is available on various platforms, including Windows, macOS, Linux, and more.
ACID-Compliant: It supports transactions and follows the ACID properties (Atomicity, Consistency, Isolation, Durability) to ensure data integrity.
Small Footprint: SQLite is lightweight and has a small memory footprint, making it suitable for embedded systems and mobile applications.
No User Management: SQLite doesn't have a user management system like other database engines. Access control is managed by the application itself.
Limited Concurrency: While it supports multiple connections, it's not suitable for high-concurrency scenarios compared to traditional client-server databases.
Data Types: SQLite supports a variety of data types, including INTEGER, TEXT, REAL, BLOB, and more.
SQL Support: SQLite supports a subset of SQL commands for creating, querying, and modifying databases and their contents.

To use SQLite, you would typically interact with it using SQL commands through various programming languages (such as Python, Java, C++, etc.) or through tools like the command-line shell provided by SQLite itself.

Example of creating a table in SQLite using SQL:

CREATE TABLE users (
    id INTEGER PRIMARY KEY,
    username TEXT NOT NULL,
    email TEXT UNIQUE,
    age INTEGER
);

Example of inserting data into the table:

INSERT INTO users (username, email, age) VALUES ('john_doe', 'john@example.com', 30);

Example of querying data from the table:

SELECT * FROM users WHERE age > 25;

Remember that the above examples assume you are using SQLite within a programming context. If you have specific questions or tasks related to SQLite, feel free to ask!

OsandaLelum/SQLITE3