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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

Summary


In this chapter, we have covered how to use aggregate functions and clauses in Python. We have seen:

  • How to use MySQL's optimized functions to calculate certain aspects of data results

  • The ways that MySQL provides for sorting the data before it is returned

  • How to tell MySQL render unique values

  • Some of the ways that discrete values return different results than non-discrete ones

  • How we can instruct MySQL to return alternative averages to the mean and its default for the function AVG

In the next chapter, we will see how to create joins (using JOIN) in MySQL for Python.

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