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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 10. Aggregate Functions and Clauses

It is not overstating things to say that MySQL queries can return a significant amount of data. As we have seen with the SELECT statement, using clauses such as WHERE reduces the number of hits that MySQL returns. Similarly, one can reduce the amount of data returned by specifying the columns to be returned. Such features save us from having to write our own algorithms to weed through the data. However, even after narrowing the data, we sometimes still need to perform calculations with the data for purposes such as tallying a sum, averaging out results, or finding the range of a dataset. MySQL saves us this trouble as well, by providing functions that return the answers to our questions without bothering us with the data. These summative operations are called aggregate functions.

In this chapter, we will see how:

  • MySQL saves us time and effort by pre-processing data

  • To perform several calculations using MySQL's optimized algorithms

  • To group and order...

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