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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 HAVING clauses, subqueries, and joins in Python. We have also seen:

  • How to restrict results using HAVING

  • How HAVING differs from WHERE

  • When it is best to use the following—WHERE or HAVING

  • How to narrow data even further with subqueries

  • Using UNION to concatenate two results sets before they are returned

  • The various ways to join tables, including the difference between a LEFT JOIN and a RIGHT JOIN as well as the differences between INNER joins, OUTER joins, NATURAL joins, and CROSS joins

In the next chapter, we will look at several more of MySQL's powerful functions and how to use them best in Python.

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