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Python SQLite tutorial using sqlite3

Updated on: March 9, 2021 | 20 Comments

This Python SQLite tutorial aims to demonstrate how to develop Python database applications with the SQLite database. You will learn how to perform SQLite database operations from Python.

As you all know, SQLite is a C-language library that implements a SQL database engine that is relatively quick, serverless, and self-contained, high-reliable. SQLite is the most commonly used database engine in the test environment (Refer to SQLite Home page).

SQLite comes built-in with most computers and mobile devices, and browsers. Python’s official sqlite3 module helps us to work with the SQLite database.

Python sqlite3 module adheres to Python Database API Specification v2.0 (PEP 249). PEP 249 provides a SQL interface designed to encourage and maintain the similarity between the Python modules used to access databases.

Let see each section now.

Table of contents

• Python SQLite Database Connection
  • Important points while connecting to SQLite
• Create SQLite table from Python
• SQLite Datatypes and it’s corresponding Python types
• Perform SQLite  CRUD Operations from Python
• Execute SQL File (scripts) from Python using cursor’s executescript
• Insert/Retrieve digital data in SQLite using Python
• Create Or Redefine SQLite Functions using Python
• Working with SQLite date and timestamp types in Python and vice-versa
• SQLite Database Exceptions
• Change SQLite connection timeout when connecting from Python
• Identify total changes since the SQLite database connection is open
• Take a backup of SQLite database from Python
• Python SQLite Exercise Project