Integrating Python and SQL: A Guide for Beginners

SQL is a structured query language that is used to communicate with a database where the database is the organized collection of data that is usually stored electronically on your computer.

There various types of database management systems include:

• Hierarchical databases
• Network databases
• Relational databases
• Object-oriented databases
• Graph databases
• ER model databases
• Document databases
• NoSQL databases

This tutorial will focus on relational database management systems of which SQL is its standard language.

Some common relational database management systems that use SQL are:

• Oracle
• Sybase
• Microsoft SQL Server
• Access
• Ingres, etc.

Structured Query Language (SQL)

SQL communicates with the database using SQL statements, which are used to perform tasks such as update data on a database or retrieve data from a database.

Note: to be able to completely follow-through this tutorial you need to be a little familiar with SQL statement but even if you’re not, you can still read through it.

What will you learn?

How to connect to Database using Python

How to interact with the database by performing all CRUD operations. CRUD stands for Create, Read, Update, and Delete operations.

Requirements

There are various libraries in Python that interact with the database depending on the type of database you’re using, which include:

• SQLite
• PyMySQL
• python-sql
• myql-connector

In this tutorial, we are going to use SQLite which comes by default with Python standard library, therefore, you don’t need to install anything.

Let’s get started

Creating a new database

We use the connect ( ) method to connect to an existing SQLite database and if there is no database in your project directory it will automatically create a new database.

It receives the name of the database as a parameter, also you need to make sure that your database name has an extension of .db for instance Customers.db

Example of Usage

>>> import sqlite3
>>> sqlite3.connect('Customers.db')
<sqlite3.Connection object at 0x7f2ec8c90b90>

Once you execute the above code it will create a new database on your project directory with the name Customers.db as shown below.

.
├── app.py
└── Customers.db​
0 directories, 2 files

Now that you have a connection, we then supposed to create a Cursor object and call its execute method to perform SQL commands:

Creating a new Table

On creating new tables we have to use SQL Statements, don’t worry If you never learned before about them they are kinda intuitive.

import sqlite3
connection = sqlite3.connect('Customers.db') #connecting to our database​
Cursor = connection.cursor() #Creating a cursor obect 
SQL_stement = 'create table Customers(name varchar(20), age int);
#Sql statement to create a table with name and age column
Cursor.execute(SQL_stement) #excuting our sql statement 
connection.commit() #Saving changes to database

Once you run the above code it creates a new table on a database with name and age as columns, you can view your Database using DB Browser

Inserting data to our Table

The procedures during inserting new data to the database we have just created It same as we have used to create the table. The only difference lies in the SQL statement just as shown below

>>> import sqlite3
>>> database = sqlite3.connect('Customers.db')
>>> Cursor = database.cursor()
>>> Cursor.execute('insert into Customers values("Jordan", 20);')
>>> Cursor.execute('insert into Customers values("Frederick", 26);')
>>> Cursor.execute('insert into Customers values("Stephen", 56);')
>>> database.commit()

Output

When you open again your database, your table values should be updated as shown in the picture below.

Reading data from our Database

Now Let’s read our data from the database by iterating over all values contained within the Customer table.

>>> import sqlite3
>>> database = sqlite3.connect('Customers.db')
>>> Cursor = database.cursor()
>>> for row in Cursor.execute('select * from Customers'):
...     print(row)
... 
('Jordan', 20)
('Frederick', 26)
('Stephen', 56)

Updating data on a table in Database

Let’s try updating one of the Customer details in table, for instance, let’s change Jordan's age to 27.

>>> import sqlite3
>>> database = sqlite3.connect('Customers.db')
>>> Cursor = database.cursor()
>>> Cursor.execute('update Customers set age = 27 where name = "Jordan";')
<sqlite3.Cursor object at 0x7fd055bd5d50>

Now when reading again the table, the age of Jordan has updated to 27.

>>> for row in Cursor.execute('select * from Customers'):
...     print(row)
... 
('Jordan', 27)
('Frederick', 26)
('Stephen', 56)

Altering our Database

Altering the database including changing its structure, for instance, we can try adding a new column to the existing table.

Let’s add the profession column to our customer's table

>>> import sqlite3
>>> database = sqlite3.connect('Customers.db')
>>> Cursor = database.cursor()
>>> Cursor.execute('ALTER TABLE Customers add column Profession;')
<sqlite3.Cursor object at 0x7fd055bd5d50>

Now when we view our database again it will look as shown below:

I hope you found this post interesting, do share it with your fellow developers if you think they'd benefit from reading it.

In case you have any suggestions or comments, drop it in the comment box and I will reply to you immediately.

Previously published here: https://kalebujordan.com/beginners-guide-to-integrating-python-and-sql/