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MySQL to Python using MySQL Connector
Additional Python Facilities example from a Well House Consultants training course
More on Additional Python Facilities [link]

This example is described in the following article(s):
   • Connecting Python to sqlite and MySQL databases - [link]
   • SQL databases from Python - an SQLite example - [link]

Source code: py_mysql.py Module: Y115

import mysql.connector

conn = mysql.connector.Connect(host='',user='demo',\

c = conn.cursor()

c.execute("""drop table if exists towns""")
c.execute("""drop table if exists hotels""")


c.execute("""create table towns (
        tid int primary key not NULL ,
        name text,
        postcode text)""")

c.execute("""create table hotels (
        hid int primary key not NULL ,
        tid int,
        name text,
        address text,
        rooms int,
        rate float)""")

c.execute("""insert into towns values (1, "Melksham", "SN12")""")
c.execute("""insert into towns values (2, "Cambridge", "CB1")""")
c.execute("""insert into towns values (3, "Foxkilo", "CB22")""")

c.execute("""insert into hotels values (1, 2, "Hamilkilo Hotel", "Chesterton Road", 15, 40.)""")
c.execute("""insert into hotels values (2, 2, "Arun Dell", "Chesterton Road", 60, 70.)""")
c.execute("""insert into hotels values (3, 2, "Crown Plaza", "Downing Street", 100, 105.)""")
c.execute("""insert into hotels values (4, 1, "Well House Manor", "Spa Road", 5, 80.)""")
c.execute("""insert into hotels values (5, 1, "Beechfield House", "The Main Road", 26, 110.)""")


c.execute ("""select * from towns left join hotels on towns.tid = hotels.tid""")

for row in c:
        print (row)

Learn about this subject
This module and example are covered on the following public courses:
 * Learning to program in Python
 * Python Programming
 * Intermediate Python
Also available on on site courses for larger groups

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Other Examples
This example comes from our "Additional Python Facilities" training module. You'll find a description of the topic and some other closely related examples on the "Additional Python Facilities" module index page.

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