Getting Started

Get the Lesson Contents Forked

If you’re using GitHub, start by forking the repository.

This creates a copy of the repository under your GitHub account.

You can do this by clicking the “Fork” button at the top right of the repository page.

Clone Lesson Contents to your Machine

git clone https://github.com/mrparkonline/ib_databases.git

This will allow us to clone all the lesson materials required for this chapter into your folder of your choice.

This command should be executed in your terminal after you have git installed.

Python + SQLite Model

Directory Layout

/lesson#/
      | -- lesson#.py
      | -- database.db

lesson#.py

The name of the file can be called anything as long as it has .py extension as we will be writing both of our Python script and SQL queries via SQLite3 within this file

database.db

This file will contain our database that we will be interacting with. Depending on the lessons, the database.db may have a different filename and/or contents

Working Example

lesson1.py

# Python + SQLite Lesson 1

# Step 1: import SQLite3 Module
import sqlite3

# Step 2: create a connection with a SQL database file
connection = sqlite3.connect("pokemon.db")

# Step 3: create a cursor that helps us to communicate with a the database
cursor = connection.cursor()

# Step 4: execute SQL queries with a method called ".execute()" from the cursor

# QUERIES GO HERE


# Step 5: Commit your changes on the database
connection.commit()

# Step 6: Optional, see the total number of changes
print(f"Current session's number of changes: {connection.total_changes}")

# Step 7: When finished with the database, close your cursor and connection object
cursor.close()
connection.close()

Within lesson 1, we will be exploring a very simple database called pokemon.db that exists within the same directory as the Python file.

For Python to interact with a SQL database using SQLite3, we must do the following operations:

1. Import sqlite3 (a built-in module within Python)

# Importint the SQLite3 Module
import sqlite3

1. Create a connection to a database

# Creating a connection to a database
connection = sqlite3.connect("pokemon.db")

# the connection variable could have been named something else
# the database connected can also be any other database you would like

1. Create a cursor to interact with the connected database

# Creating a cursor object 
# the cursur helps us to communicate with a the database
cursor = connection.cursor()

# Main Purpose:
#     1. Execute Queries
#     2. Fetch Results

1. Commit changes from the connection

# Commit your changes on the database
connection.commit()

# This is only required when you make changes to a database
# Should be executed when
#     1. You have finished your changes
#     2. Your script is over and you want to end the program after 
#        After you have made your changes

1. Close the cursor & connection when finished

# Closing your cursor and connection objects
cursor.close()
connection.close()

# By closing both cursor and connection, 
# we are saying that this python script is not working on the database at the moment

Closing the cursor and connection is important because:

• it uses up system resources to read/write/append a database -> by closing, we free up such resources

• it opens up a connection spot -> there are limited number of concurrent connections possible; therefore, releasing a connection means that a new connection can be made

Connected Readings:

• SQLite3 Documentation from Python (Link)