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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

Forming a MySQL insertion statement


As with record retrieval in the previous chapter, inserting data into MySQL through Python relies on understanding data insertion in MySQL itself. You will recall that the requirements of a computing language necessitate the use of as few words as possible to do anything. Ideally, there should be only one word as the Zen of Python reads:

There should be one—and preferably only one—obvious way to do it.

For retrieval, we used the SELECT command. For putting data into the database, we use INSERT. So instead of saying "Put everything on the far table!" or "Stick everything over there!", MySQL needs specification such as:

INSERT INTO far VALUES("everything");

This is perhaps the most basic insertion statement that one can make for MySQL. You can tell from it that the basic syntax of MySQL's INSERT statement is as follows:

INSERT INTO <some table> (<some column names>) VALUES("<some values>");

Now let's take this skeleton of a statement apart and...

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