How to Work with SQLite Database in Python

SQLite is a lightweight, disk-based database that doesn’t require a separate server process and allows accessing the database using a nonstandard variant of the SQL query language. Python provides an in-built library called SQLite3 to work with SQLite databases. This tutorial will guide you through the basics of working with SQLite databases in Python.

1. Installing SQLite

SQLite is built-in Python and as such, there is no need for the installation of anything in this case. You can immediately incorporate it after importing the sqlite3 module.

2. Creating a Connection

To connect or open to sqlite database, one has to use the connect() function. Its first and unique function is that if the database does not exist, SQLite will create it.

3. Creating a Cursor

It is to note that a cursor object is used to run SQL commands and to fetch data from the database. To create a cursor, you can use the cursor method on the connection Object.

4. Creating a Table

Perhaps, it becomes easier to create a table using the CREATE TABLE SQL statement. Pass it and execute this by making use of cursor’s execute() method

5. Inserting Data

Data can be inserted into the table using the INSERT INTO SQL statement. Use the execute() method again to insert the data.

6. Querying Data

To retrieve data, use the SELECT statement. The results can be fetched using the fetchall() method, which returns a list of tuples.

7. Updating Data

You can also find the records present in any database table and modify them using the UPDATE SQL statement.

8. Deleting Data

If you want to remove all records from the table, use the DELETE statement.

9. Committing Changes

But any change should be committed to, one must ensure that they work on the change until completion. Its function is realized by the commit() method of the connection object.

10. Closing the Connection

Finally, close the connection using the close() method to free up resources.

By following these steps, you can effectively manage SQLite databases in your Python applications. SQLite is an excellent choice for small to medium-sized applications due to its simplicity and ease of use.