Daisy Rees

Daisy Rees


Getting Started with MySQL in Python

MySQL Python: About MySQL

  • MySQL is a fast, easy-to-use relational database. It is currently the most popular open-source database
  • MySQL is used for many small and big businesses. It is developed, marketed, and supported by MySQL AB, a Swedish company. It is written in C and C++.
  • MySQL is an open-source database, so you don’t have to pay a single penny to use it.

Download MySQL

Follow these steps:

  1. Go to the official MySQL website
  2. Choose the version number for the MySQL community server that you want.

MySQL Python Connector

MySQL Python Connector is used to access the MySQL database from Python. You need a database driver.

MySQL Connector/Python is a standardized database driver provided by MySQL.

To check whether the mysql.connector is available or not, we type the following command:

>>> import mysql.connector

After typing this, we clearly say that No Module Named MySQL is present.

Then, we have to install MySQL. Python needs a MySQL driver to access the MySQL database.

So, next, we download the mysql-connector with the use of pip.

C:\Users\Nitin Arvind Shelke>pip install mysql-connector

After installation, we test whether it works or not. Lets check with the following command:

>>> import mysql.connector

The above line imports the MySQL Connector Python module in your program, so you can use this module’s API to connect MySQL.

If the above code was executed with no errors, we can say that “MySQL Connector” is installed properly and get ready to use it.

>>>from mysql.connector import Error

The MySQL connector error object is used to show us an error when we failed to connect databases or if any other database error occurred while working with the database.

Creating a Connection to the Database

After installing the MySQL Python connector, we need to test it to make sure that it is working correctly, and you can connect to the MySQL database server without any problems. To verify the installation, use the following steps:

Type the following line of code:

>>> import mysql.connector
To establish a connection to the database we should know the following parameters,
Host= localhost (In general it is same for all)
Database=mysql (You can set as per your wish)
User=root (It is a username)
Password= root@123 (password set by me while installation of MyQL)
>>> mysql.connector.connect( host = 'localhost', database = 'mysql', user = 'root', password = 'root@123')

Show the Available Database

You can check if a database exists on your system by listing all the databases in your system by using the “SHOW DATABASES” statement:

>>> my_database = mysql.connector.connect( host = 'localhost', database = 'mysql', user = 'root', password = 'root@123')
>>> cursor = my_database.cursor()
>>> cursor.execute( " show databases " )
>>> for db in cursor:
...  print(db)



Creating a Database

To create a database in MySQL, we use the “CREATE DATABASE” statement to create the database named “college”:

>>> my_database = mysql.connector.connect( host = 'localhost', user = 'root', password = 'root@123' )
>>> cursor = my_database.cursor()
>>> cursor.execute( " CREATE DATABASE college "  )
>>> for db in cursor:
...  print(db)
>>> cursor.execute( " show databases " )
>>> for db in cursor:
...  print(db)

Creating the Tables

Next, we create the tables for the ‘college’ database.

It is compulsory to define the name of the database while creating the tables for it.

Syntax to create the table is

create table_name(
column 1 datatype,
column 2 datatype,
column 3 datatype,
column n datatype

Let’s create the table students, department, and faculty for the database college.

>>> my_database = mysql.connector.connect ( host = 'localhost', database = 'college', user = 'root', password = 'root@123' )
>>> cursor = my_database.cursor()
>>>cursor. execute( " CREATE TABLE students ( stud_id varchar(200), stud_name VARCHAR(215), address VARCHAR(215), city char(100)) " )
>>> cursor. execute( " CREATE TABLE department ( dept_id varchar(200), dept_name VARCHAR(215)) " )
>>> cursor.execute( "CREATE TABLE faculty (  faculty_id varchar(200),faculty_name VARCHAR(215) )"  )

Show the Tables

To display the tables, we will have to use the “SHOW TABLES”

The following code displays all the tables present in the database “college”

>>> cursor. execute ( " SHOW TABLES " )
>>> for x in cursor:
...      print(x)

Assign Primary Key in Table

Primary key: It is a minimal set of attributes (columns) in a table or relation that can uniquely identify tuples (rows) in that table.

For example, Student (Stud_Roll_No, Stud_Name, Addr)

In the student relation, attribute StudRollNo alone is a primary key, as each student has a unique id that can identify the student record in the table.

>>> my_database = mysql.connector.connect ( host = 'localhost', database = 'college', user = 'root', password = 'root@123' )
>>> cursor = my_database.cursor()
>>>cursor. execute( " CREATE TABLE students2 ( stud_id varchar(200) PRIMARY KEY, stud_name VARCHAR(215), address VARCHAR(215), city char(100)) " )

If the table already exists, use the ALTER TABLE keyword:

>>> my_database = mysql.connector.connect ( host = 'localhost', database = 'college', user = 'root', password = 'root@123' )
>>> cursor = my_database.cursor()

Describe the Created Tables

Desc keyword is used to describe the table in MySQL.

The following code describes the students table from the college database:

>>> cursor.execute("desc students")
>>> for x in cursor:
...     print(x)
('stud_id', 'varchar(200)', 'YES', '', None, '')
('stud_name', 'varchar(215)', 'YES', '', None, '')
('address', 'varchar(215)', 'YES', '', None, '')
('city', 'char(100)', 'YES', '', None, '')

Example 2

The following code describes the students2 (where stud_id is mentioned as primary key) table from the college database:

>>> cursor.execute("desc students2")
>>> for x in cursor:
...     print(x)
('stud_id', 'varchar(200)', 'NO', 'PRI', None, '')
('stud_name', 'varchar(215)', 'YES', '', None, '')
('address', 'varchar(215)', 'YES', '', None, '')
('city', 'char(100)', 'YES', '', None, '')

Insert Data Into the Table

To insert the data into the table, the “insert into” statement is used.

Let’s insert the data into the students table of the college database,

>>> my_database = mysql.connector.connect ( host = 'localhost', database = 'college', user = 'root', password = 'root@123' )
>>> stm = " INSERT INTO students ( stud_id, stud_name, address, city ) VALUES ('101','Nitin Shelke', 'Congress Nagar', 'Amravati' ) "
>>> cursor = my_database.cursor()
>>> cursor.execute(stm)

Display or Select the Inserted Data From the Table

>>> cursor.execute(" select * from students")
>>> for x in cursor:
...     print(x)
('101', 'Nitin Shelke', 'Congress Nagar', 'Amravati')

An alternate way is to use the fetchall() method.

>>> cursor.fetchall()
[(‘101’, ‘Nitin Shelke’, ‘Congress Nagar’, ‘Amravati’)]

Thanks for reading! Let me know your thoughts in the comments.

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Further reading about Python

Complete Python Bootcamp: Go from zero to hero in Python 3

Machine Learning A-Z™: Hands-On Python & R In Data Science

Python and Django Full Stack Web Developer Bootcamp

Complete Python Masterclass

Python Tutorial - Python GUI Programming - Python GUI Examples (Tkinter Tutorial)

Computer Vision Using OpenCV

OpenCV Python Tutorial - Computer Vision With OpenCV In Python

Python Tutorial: Image processing with Python (Using OpenCV)

A guide to Face Detection in Python

Machine Learning Tutorial - Image Processing using Python, OpenCV, Keras and TensorFlow

PyTorch Tutorial for Beginners

#mysql #python #database

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Getting Started with MySQL in Python
Ray  Patel

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HTML to Markdown

MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.

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ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
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As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.

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Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

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