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Python - Sqlite3 Module
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  Sqlite3 - Not require separate server process.

The sqlite3 module was written by Gerhard Häring. To use the module, you must first create a Connection object that represents the database. Here the data will be stored in the example.db file:

import sqlite3
conn = sqlite3.connect('example.db')

You can also supply the special name :memory: to create a database in RAM. Once you have a Connection, you can create a Cursor object and call its execute() method to perform SQL commands:

c = conn.cursor()

# Create table
c.execute('''CREATE TABLE stocks
         (date text, trans text, symbol text, qty real, price real)''')

# Insert a row of data
c.execute("INSERT INTO stocks VALUES ('2006-01-05','BUY','RHAT',100,35.14)")

# Save (commit) the changes
conn.commit()

# We can also close the connection if we are done with it.
# Just be sure any changes have been committed or they will be lost.
conn.close()
  Getting the values from the database and Error handling

Fetching the values from the SQLite3 database.

Print row values returned by select query

import sqlite3
conn = sqlite3.connect('example.db')
c = conn.cursor()
c.execute("SELECT * from table_name where id=cust_id")
for row in c:
    print row # will be a list

To fetch single matching fetchone() method

print c.fetchone()

For multiple rows use fetchall() method

a=c.fetchall() #which is similar to list(cursor) method used previously
for row in a:
    print row

Error handling can be done using sqlite3.Error built in function

try:
    #SQL Code
except sqlite3.Error as e:
    print "An error occurred:", e.args[0]



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