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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 12. String Functions

We have already seen how we can pass the burden of certain processes onto the database server. The MySQL aggregate functions are optimized for their tasks. This reduces the amount of I/O passed back to Python and results in less data for our programs to process. In addition to the aggregate functions, MySQL also provides other functions that help us process data before it is returned to Python.

In this chapter, we will see:

  • The way MySQL allows us to combine strings and return the single, resulting value

  • How to extract part of a string or the location of a part, thus saving on processing

  • How to convert cases of results

All of this can be done through MySQL for Python. After we have seen the common ways to juggle strings in MySQL, we will then apply it in this chapter's project.

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