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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

Chapter 3. Simple Insertion

The obvious complement to record retrieval is the insertion of data into a MySQL database. Data insertion is a matter of learning the syntax of the MySQL keyword for the task and applying it through MySQL for Python.

As with retrieval, MySQL functions on the basis of parameter-based invocation and the returning of results in accordance with those parameters. All of this is again based on using MySQL for Python as an intermediary to that process to invoke MySQL, to log in, and to connect to our chosen database.

You will recall that, in Chapter 2, Simple Querying, we needed to validate user input consistently. Malformed input would have caused our program to throw an error without it. That caution goes doubly for insertion. Unqualified user input can corrupt a database and even give the malicious user access to all traffic on the server by granting him or her unwarranted administrative privileges.

In this chapter, we will look at the following:

  • Forming an insertion...

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