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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 an insertion through MySQL for Python


As you can see, inserting data into MySQL is a straightforward process that is largely based around ensuring that the database daemon knows where you want your data placed. Inserting data into MySQL may seem a bit more complicated than retrieving it but the previous discussion shows it is still logical, but just requires a few more keywords in order to be useful.

Setting up the preliminaries

Using INSERT with MySQL for Python is just as easy as using SELECT. As we saw in the previous chapter, we pass the command to MySQL using the execute() method of the database cursor object.

We will again use the fish database and the menu table as follows:

+----+----------------+-------+
| 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...
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