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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

Project: A command-line search utility


This chapter has been about querying MySQL from Python. As a project to finish it out, we will build a command-line search utility. Rather than ask the user for the search term, we will expect the user to state the term as an argument for the command-line invocation.

Note

With a bit more code for this project, we could create a GUI for this program. GUI programming increases the complexity of the code. How much more complex it gets depends on the library being used, but it is nonetheless unnecessary for what we need to illustrate in this project. Until we are certain that we have a database and can connect to it, it is best to keep it simple.

Now, it is true that we could simply take input and feed it through MySQL for Python as a generic SELECT * statement. The logic for this bare bones implementation has been illustrated previously to a great extent. We can create something a bit more sophisticated.

The following characteristics should apply to our search...

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