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MySQL for Python

You're reading from   MySQL for Python Integrating MySQL and Python can bring a whole new level of productivity to your applications. This practical tutorial shows you how with examples and explanations that clarify even the most difficult concepts.

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Product type Paperback
Published in Sep 2010
Publisher Packt
ISBN-13 9781849510189
Length 440 pages
Edition 1st Edition
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Author (1):
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Albert Lukaszewski Albert Lukaszewski
Author Profile Icon Albert Lukaszewski
Albert Lukaszewski
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Table of Contents (20) Chapters Close

MySQL for Python
Credits
About the Author
About the Reviewers
Preface
1. Getting Up and Running with MySQL for Python FREE CHAPTER 2. Simple Querying 3. Simple Insertion 4. Exception Handling 5. Results Record-by-Record 6. Inserting Multiple Entries 7. Creating and Dropping 8. Creating Users and Granting Access 9. Date and Time Values 10. Aggregate Functions and Clauses 11. SELECT Alternatives 12. String Functions 13. Showing MySQL Metadata 14. Disaster Recovery Index

Passing a query to MySQL


We have just seen how to form a query for a generic MySQL session. While that was not particularly difficult, using MySQL for Python is even easier. For this next section, we will be working against a database fish with a table menu that has the following contents:

+----+----------------+-------+
| id | name           | price |
+----+----------------+-------+
|  1 | tuna           |  7.50 | 
|  2 | bass           |  6.75 | 
|  3 | salmon         |  9.50 | 
|  4 | catfish        |  5.00 | 
|  5 | trout          |  6.00 | 
|  6 | haddock        |  6.50 | 
|  7 | yellowfin tuna | 12.00 | 
+----+----------------+-------+

As discussed in Chapter 1, Python's interface with MySQL requires a cursor. It is through the cursor object that we pass commands to MySQL. So, we import MySQL for Python, log into our database fish and create the cursor as follows:

import MySQLdb
mydb = MySQLdb.connect(host = 'localhost', 
                       user = 'skipper', 
                  ...
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