Working with Databases Using SQLite in Python
Introduction
Databases are essential for storing, organizing, and retrieving data efficiently. Whether it’s a simple desktop app or a data-driven web application, managing data effectively is key.
If you’re starting your journey with databases or need a lightweight option for your project, SQLite is a great choice. It’s fast, reliable, and comes built into Python; no installation or configuration is required. In this post, we’ll explore how to use SQLite with Python to create, read, update, and delete data with just a few lines of code.
What is SQLite?
SQLite is a self-contained, serverless database engine. Unlike MySQL or PostgreSQL, it doesn’t require a separate server to run your entire database lives in a single .db file.
Key advantages:
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Lightweight and fast
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No setup required
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Ideal for small apps, data analysis, or prototypes
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Built directly into Python’s standard library
Step-by-Step Guide: Using SQLite in Python
You can start using it instantly by importing Python’s built-in module:
1) Create a Connection
To start, connect to a database. If it doesn’t exist, SQLite will create it automatically.
2) Create a Table
Now, let’s create a simple table to store student information.
3) Insert Data
You can easily insert records into the table.
c.execute("insert into customer values ('John','Stathom','C')")
4) Retrieve Data
Fetching records is simple with SELECT.
5)Update or Delete Records
Updating or deleting data uses standard SQL commands.
6) Close the Connection
Always close your connection once you’re done.
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