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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

Joins


Joins are often one of the hardest topics for MySQL newcomers to grasp. The entire concept pivots on the understanding of mathematical sets, unions, intersections, and their resulting Venn diagrams. Another way of looking at joins is to use tabular information. For an example of this, see: http://en.wikipedia.org/wiki/Sql_join.

In the preceding Venn diagram, the left circle may be seen to represent one set and the right circle another. The overlapping area is called the intersection of the two sets. The set of elements that encompasses the contents of both circles is called a union, but should not be confused with the MySQL keyword UNION. With that information in mind, we can then see how MySQL allows us to access different parts of the Venn diagram through joins.

LEFT and RIGHT joins

In MySQL, each set is represented by a table. The first table referenced in the query is the set on the left. The second is represented by the circle on the right. For MySQL to know which is the primary...

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