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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

Creating a feedback loop


Being able to follow different courses of action based on different exceptions allows us to tailor our programs. For a DataError or even a ProgrammingError, we may want to handle the exception behind the scenes, hiding it from the user, but passing critical information to the development team. For Warning or non-critical errors, we may choose to pause execution of the program and solicit more information from the user. To do this, we would use a raw_input statement as part of the except clause. In order to be concise, the following program treats errors and warnings the same way, but they could easily be separated and treated with greater granularity.

#!/usr/bin/env python                                                                                                                                                     

import MySQLdb, sys

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