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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

Why?


There are a number of reasons why one might opt to process records individually or at least in smaller chunks. Three of the most compelling reasons are:

  • Limits of computing resources

  • Network latency

  • Pareto's principle

From the perspective of efficiency, any one of these reasons is good enough to warrant retrieval of smaller amounts of data. We look at each in greater detail in the following section.

Computing resources

Despite Moore's law holding true for many years now, it is coming under increasing pressure as a trend and cannot be presumed to hold true indefinitely. While one may have a budget with numbers so big that it looks like a phone directory, one's resources are only faster or more powerful on a comparative scale.

Note

Moore's law states that the number of transistors that one is able to fit on an integrated circuit will double every two years.

This law is not much of a natural law as a business observation was made by Gordon Moore, co-founder of Intel. He did not state in such absolute...

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