This document provides information about interfacing Python with SQL databases. It discusses using Python's Database API to connect to databases like MySQL and perform SQL queries. Specific topics covered include establishing a connection, creating a cursor object to execute queries, creating/modifying tables, and inserting/searching/fetching records from tables at runtime. The document aims to demonstrate how to interface a Python program with a backend SQL database.
This presentation educates you about Python MySQL, Python Database, What is mysql-connector-python?, How do I Install mysql-connector-python? and Installing mysql-connector-python with sample program.
For more topics stay tuned with Learnbay.
Slowly the power of mysqlnd plugins become visible. Mysqlnd plugins challenge MySQL Proxy and are often a noteworthy, if not superior, alternative alternative to MySQL Proxy for PHP users. Plugins can do almost anything that MySQL Proxy can do - but on the client. Please find details in the slides. The presentation has been given today at the PHP track on FrOSCon.
Sqlite Database | SQLite Tutorial | SQLite3 with Python | Database CRUD | Sqlite Python Tutorial
In this tutorial, you can learn the Database CRUD operations using SQLite3 with Python Language. Here demo of following database CRUD operations are given. Beginners can easily understand how to work with database using sqlite database in python.
Topics Covered
1. Database Creation, Table Creation, Data Insertion
2. Data Retrieval
3. Data Updation
4. Data Deletion
Hope this will be helpful for those who are searching the database tutorial in python language...
For Demo Visit the link below:
https://youtu.be/0yxhJ8amoi8 (Elangovan Tech Notes-YouTube Channel)
This presentation educates you about Python MySQL, Python Database, What is mysql-connector-python?, How do I Install mysql-connector-python? and Installing mysql-connector-python with sample program.
For more topics stay tuned with Learnbay.
Slowly the power of mysqlnd plugins become visible. Mysqlnd plugins challenge MySQL Proxy and are often a noteworthy, if not superior, alternative alternative to MySQL Proxy for PHP users. Plugins can do almost anything that MySQL Proxy can do - but on the client. Please find details in the slides. The presentation has been given today at the PHP track on FrOSCon.
Sqlite Database | SQLite Tutorial | SQLite3 with Python | Database CRUD | Sqlite Python Tutorial
In this tutorial, you can learn the Database CRUD operations using SQLite3 with Python Language. Here demo of following database CRUD operations are given. Beginners can easily understand how to work with database using sqlite database in python.
Topics Covered
1. Database Creation, Table Creation, Data Insertion
2. Data Retrieval
3. Data Updation
4. Data Deletion
Hope this will be helpful for those who are searching the database tutorial in python language...
For Demo Visit the link below:
https://youtu.be/0yxhJ8amoi8 (Elangovan Tech Notes-YouTube Channel)
Meet up Milano 14 _ Axpo Italia_ Migration from Mule3 (On-prem) to.pdfFlorence Consulting
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Gain a comprehensive view of your audience by exploring demographic data in the Audience section. Understand age, gender, and interests to tailor your marketing strategies effectively. Leverage this information to create personalized content and improve user engagement and conversion rates.
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Learn how to measure user interaction with your site through key metrics like bounce rate, average session duration, and pages per session. Enhance user experience by analyzing engagement metrics and implementing strategies to keep visitors engaged.
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Understand the importance of conversion rates and how to track them using Google Analytics. Set up Goals, analyze conversion funnels, segment your audience, and employ A/B testing to optimize your website for higher conversions. Utilize ecommerce tracking and multi-channel funnels for a detailed view of your sales performance and marketing channel contributions.
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1. Computer Science
Class XII ( As per CBSE Board)
Chapter 10
Interface python
with
SQL Database
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As per Term
wise
Syllabus
2021-22
2. Interface python
with SQL Database
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A database is nothing but an organized collection of data. Data is organized into rows,
columns and tables and it is indexed to make it easier to find relevant information. All
companies whether large or small use databases. So it become necessary to develop
project/software using any programming language like python in such a manner which can
interface with such databases which support SQL.Generalised form of Interface of python
with SQL Database can be understood with the help of this diagram.
Using SQL in any of the dbms ,databases and table can be created and data can be accessed,
updated and maintained. The Python standard for database interfaces is the Python DB-API.
Python Database API supports a wide range of database servers, like msql , mysql,
postgressql, Informix, oracle, Sybase etc.
Form/any user interface designed in any
programming language is Front End where
as data given by database as response is
known as Back-End database.SQL is just a
query language, it is not a database. To
perform SQL queries, we need to install any
database for example Oracle, MySQL,
MongoDB, PostGres SQL, SQL Server, DB2 et.
3. Why choose Python for database programming
Following are the reason to choose python for database
programming
• Programming more efficient and faster compared to other
languages.
• Portability of python programs.
• Support platform independent program development.
• Python supports SQL cursors.
• Python itself take care of open and close of connections.
• Python supports relational database systems.
• Porting of data from one dbms to other is easily possible as it
support large range of APIs for various databases.
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4. SQL Connectors
We must download a separate DB API module for each database we
need to access. Suppose we need to access an Oracle database as
well as a MySQL database, we must download both the Oracle and
the MySQL database modules .
The DB API provides a minimal standard for working with databases
using Python structures and syntax wherever possible.
This API includes the following −
● Importing the API module.
● Acquiring a connection with the database.
● Issuing SQL statements and stored procedures.
● Closing the connection
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5. Here we are using mysql as back end database because of it is open source,free
and portable and widely used. Any one of mysql-connector or MySQLdb can be
used for database programming.
1. mysql-connector
MySQL-Connector enables Python programs to access MySQL databases, using an
API that is compliant with the Python Database API Specification v2.0 (PEP 249). It
is written in pure Python and does not have any dependencies except for the
Python Standard Library.
Steps to use mysql-connector
1. Download Mysql API ,exe file and install it.(click here to download)
2. Install Mysql-Python Connector (Open command prompt and execute
command) >pip install mysql-connector
3. Now connect Mysql server using python
4. Write python statement in python shell import mysql.connector
If no error message is shown means mysql connector is properly installed
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Interface python
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6. 2. MySQLdb
MySQLdb is an interface for connecting to a MySQL database server from Python.
It implements the Python Database API v2.0 and is built on top of the MySQL C
API.
Steps to use mysqlclient
1. First Upgrade pip command through > python –m pip install –upgrade pip
2. Install mysqlclient through pip install mysqlclient
3. After successful installation check through import mysqldb
4. If it is installed no error will be displayed otherwise error message will be displayed
To install MySQLdb module, use the following command −
For Ubuntu, use the following command -
$ sudo apt-get install python-pip python-dev libmysqlclient-dev
For Fedora, use the following command -
$ sudo dnf install python python-devel mysql-devel redhat-rpm-config gc c
For Python command prompt, use the following command -
pip install MySQL-python
Note − Make sure you have root privilege to install above module
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7. Establish connection
For database interface/database programming ,connection must be established.Before
establishing connection there must be mysql installed on the system and a database and
table is already created.In following way we can establish a connection with mysql
database through mysql.connector.
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root“,database=“school”)
print(mydb)
Alternatively we can write the following statement if we are using mysqldb
import MySQLdb
mydb = MySQLdb.connect("localhost",“root",“root",“school" )
print(mydb)
In both way we are specifying host,user,password and database name as
arguments.database is optional argument if we want to create database through
programming later on.
After successful execution of above statements in python following out will be displayed
<mysql.connector.connection.MySQLConnection object at 0x022624F0>
Otherwise an error message will be shown.
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8. Cursor object :
The MySQLCursor class instantiates objects that can execute operations such as SQL
statements. Cursor objects interact with the MySQL server using a MySQLConnection
object.
How to create cursor object and use it
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root")
mycursor=mydb.cursor()
mycursor.execute("create database if not exists school")
mycursor.execute("show databases")
for x in mycursor:
print(x)
Through line 4 we are creating a database named school if it is already not created with
the help of cursor object.
Line 5 executes the sql query show databases and store result in mycursor as collection
,whose values are being fetched in x variable one by one.
On execution of above program school database is created and a list of available databases
is shown.
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9. How to create table at run time
Table creation is very easy ,if we are already well versed in sql table creation then
we have to just pass the create table query in execute() method of cursor object.
But before table creation we must open the database.Here we are opening
database school(through connect() method) before student table creation.
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",dat
abase="school")
mycursor=mydb.cursor()
mycursor.execute("create table student(rollno int(3) primary key,name
varchar(20),age int(2))")
On successful execution of above program a table named student with three
fields rollno,name,age will be created in school database.
We can check student table in mysql shell also,if required.
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10. How to change table structure/(add,edit,remove colum of a table) at
run time
To modify the structure of the table we just have to use alter table
query.Below program will add a column mark in the student table.
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd
="root",database="school")
mycursor=mydb.cursor()
mycursor.execute("alter table student add (marks int(3))")
mycursor.execute("desc student")
for x in mycursor:
print(x)
Above program will add a column marks in the table student and will
display the structure of the table
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11. Interface python
with SQL Database
How to insert record in a table at run time
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",databa
se="school")
mycursor=mydb.cursor()
while 1==1:
ch=int(input("enter -1 to exit any other no to insert record into student table"))
if ch==-1:
break
rollno=int(input("Enter rollno"))
class1=int(input("Enter Class"))
name=input("Enter name")
marks=int(input("Enter marks"))
mycursor.execute("insert into student
values('"+str(rollno)+"','"+name+"','"+str(class1)+"','"+str(marks)+"')")
mydb.commit()
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12. How to search records of a table at run time
Below statement demonstrate the use of select query for searching
specific record from a table.
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="ro
ot",database="school")
mycursor=mydb.cursor()
nm=input("enter name")
mycursor.execute("select * from student where name='"+nm+"'")
for x in mycursor:
print (x)
Above statements will prompt a name from user,as user type the name
,that name is searched into the table student with the help of select query
.result will be shown with the help of mycursor collection.
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13. How to fetch all records of a table at run time
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="ro
ot",database="school")
mycursor=mydb.cursor()
mycursor.execute("select * from student")
myrecords=mycursor.fetchall()
for x in myrecords:
print (x)
MySQLCursor.fetchall() Method
The method fetches all (or all remaining) rows of a query result set and
returns a list of tuples. If no more rows are available, it returns an empty
list.
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14. How to fetch one record of a table at run time
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",database="sc
hool")
mycursor=mydb.cursor()
mycursor.execute("select * from student")
row=mycursor.fetchone()
while row is not None:
print(row)
row = mycursor.fetchone()
MySQLCursor.fetchone() Method
This method retrieves the next row of a query result set and returns a single sequence, or
None if no more rows are available. By default, the returned tuple consists of data
returned by the MySQL server, converted to Python objects.
MySQLCursor.fetchmany() Method
rows = cursor.fetchmany(size=1)
This method fetches the next set of rows of a query result and returns a list of tuples. If no
more rows are available, it returns an empty list.
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15. rowcount : Rows affected by Query. We can get number of rows affected by the query by
using rowcount. We will use one SELECT query here.
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",database="s
chool")
mycursor=mydb.cursor()
mycursor = mydb.cursor(buffered=True)
mycursor.execute("select * from student")
noofrows=mycursor.rowcount
print("No of rows in student table are",noofrows)
buffered=True
We have used my_cursor as buffered cursor.
my_cursor = my_connect.cursor(buffered=True)
This type cursor fetches rows and buffers them after getting output from MySQL
database. We can use such cursor as iterator. There is no point in using buffered cursor for
single fetching of rows.If we don’t use buffered cursor then we will get -1 as output from
rowcount
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16. How to delete record of a table at run time
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",database="sc
hool")
mycursor=mydb.cursor()
mycursor.execute("delete from student where rollno=1")
mydb.commit()
In above program delete query will delete a record with rollno=1.commit() method is
necessary to call for database transaction.
How to update record of a table at run time
import mysql.connector
mydb=mysql.connector.connect(host="localhost",user="root",passwd="root",database="sc
hool")
mycursor=mydb.cursor()
mycursor.execute("update student set marks=99 where rollno=2")
mydb.commit()
In above program update query update the marks with 99 of rollno=2
Students are advised to develop menu driven program using above concepts for better
understating of python mysql database interface.
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17. Manage Database Transaction
Database transaction represents a single unit of work. Any
operation which modifies the state of the MySQL database is a
transaction.
Python MySQL Connector provides the following method to manage
database transactions.
commit – MySQLConnection.commit() method sends a COMMIT
statement to the MySQL server, committing the current transaction.
rollback – MySQLConnection.rollback revert the changes made by
the current transaction.
AutoCommit – MySQLConnection.autocommit value can be
assigned as True or False to enable or disable the auto-commit
feature of MySQL. By default its value is False.
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18. Manage Database Transaction
try:
conn = mysql.connector.connect(host='localhost',database='school', user='root', password='root')
conn.autocommit = false
cursor = conn.cursor()
sql_update_query = """Update student set marks = 95 where rollno = 2"""
cursor.execute(sql_update_query)
print ("Record Updated successfully ")
#Commit your changes
conn.commit()
except mysql.connector.Error as error :
print("Failed to update record to database rollback: {}".format(error))
#reverting changes because of exception
conn.rollback()
finally:
#closing database connection.
if(conn.is_connected()):
cursor.close()
conn.close()
print("connection is closed")
In above program if update query is successfully executed then commit() method will be executed otherwise exception
error part will be executed where revert of update query will be done due to error.At finally we are closing cursor as
well as connection.To rollback or commit we have to set autocommit=false,just like conn.autocommit = false in above
program otherwise rollback will not work
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