Programmers can expect Python to make database programming more painless and straightforward work, supplying the Python database API with a database-neutral programming interface for various databases.

These are:

  • MySQL
  • SQLite
  • MS SQL
  • PostgreSQL
  • Informix
  • Sybase
  • Inter-base
  • Oracle etc….

The DB-API is the standard for Python's database interface.

What is Database?

The database is a collection of organized information that can easily be used, managed, update, and they are classified according to their organizational approach.

The Python Database interfaces are categorized into two. These are:

Generic Database Interface

Most Python's database interface remains to Python's DB-API standard, and most of the databases have ODBC support. Other than that, the Java database usually supports JDBC, and programmers can work with that from Jython.

Relational Database System Interface

This employs a relational model with support of SQL.  Lists of general-purpose database systems are:

  1. Firebird
  2. Informix
  3. SAP DB
  4. MS SQL server
  5. Access
  6. Ingres
  7. MySQL etc….

Other than that, the lists of data warehouse database systems are:

  1. Teradata
  2. IBM Netezza

There are other non-relational categories of databases. These are:

  • Record-based databases
  • XML databases
  • Graph databases

Native Python databases are:

  • SnakeSQL
  • Buzhug

What Database API Includes

Using Python structure, DB-API provides standard and support for working with databases. The API consists of:

  • Bring in the API module
  • Obtain database connection
  • Issue SQL statements and then store procedures
  • Close the connection

Benefits of Python Database Programming

  • Programming in Python is considerably simple and efficient with compared to other languages, so as the database programming
  • Python database is portable, and the program is also portable so both can give an advantage in case of portability
  • Python supports SQL cursors
  • It also supports Relational Database systems
  • The API of Python for the database is compatible with other databases also
  • It is platform-independent

Defining MySQL Database

It is an interface for associating the SQL database server from Python and uses the DB-API of Python to work.

How to Implement MySQL Database

To access the MySQL database using Python, you must install it on your machine; Then, type the script below to implement MySQL within your program:

import MySQLdb

If any error occurs then it means that the MySQL module is not installed and programmers can download it from -

Database Program Using Python

# importing the module
import MySQLdb

# opening a database connection
db = MySQLdb.connect  ("localhost","testprog","stud","PYDB")

# define a cursor object
cursor = conn.cursor

# drop table if exists

# query

# execute query

# close object

# close connection

Database Operations

There are various operations that programmers can perform within the Python program. To deal with these statements, you must have a good knowledge of Database programming and SQL.

Database Operations
Environment Variables Description
INSERT It is an SQL statement used to create a record into a table.
READ Fetches useful information from the database.
UPDATE It is used to update those available or already existing record(s).
DELETE It is used to delete records from the database.
ROLLBACK It works like "undo", which reverts all the changes that you have made.

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