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  • Book Overview & Buying MySQL for Python
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MySQL for Python

MySQL for Python

By : Albert Lukaszewski
3.6 (10)
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MySQL for Python

MySQL for Python

3.6 (10)
By: Albert Lukaszewski

Overview of this book

Python is a dynamic programming language, which is completely enterprise ready, owing largely to the variety of support modules that are available to extend its capabilities. In order to build productive and feature-rich Python applications, we need to use MySQL for Python, a module that provides database support to our applications. Although you might be familiar with accessing data in MySQL, here you will learn how to access data through MySQL for Python efficiently and effectively.This book demonstrates how to boost the productivity of your Python applications by integrating them with the MySQL database server, the world's most powerful open source database. It will teach you to access the data on your MySQL database server easily with Python's library for MySQL using a practical, hands-on approach. Leaving theory to the classroom, this book uses real-world code to solve real-world problems with real-world solutions.The book starts by exploring the various means of installing MySQL for Python on different platforms and how to use simple database querying techniques to improve your programs. It then takes you through data insertion, data retrieval, and error-handling techniques to create robust programs. The book also covers automation of both database and user creation, and administration of access controls. As the book progresses, you will learn to use many more advanced features of Python for MySQL that facilitate effective administration of your database through Python. Every chapter is illustrated with a project that you can deploy in your own situation.By the end of this book, you will know several techniques for interfacing your Python applications with MySQL effectively so that powerful database management through Python becomes easy to achieve and easy to maintain.
Table of Contents (20 chapters)
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MySQL for Python
Credits
About the Author
About the Reviewers
Preface
1
Index

Changing queries dynamically


But what if the user does not want to submit a precise query but needs a list of the possibilities? There are a couple of ways to clarify the search. We could first keep a list of the common search queries. This is something done often by the likes of Google and Yahoo!. This works very well with large datasets served through web servers because it uses a static list of terms and simply culls them out. For more dedicated applications, one can use MySQL's pattern matching ability to present known options on-the-fly.

Pattern matching in MySQL queries

Where Python's regular expression engine is very robust, MySQL supports the two following metacharacters for forming regular expressions:

  • %: Zero or more characters matched in aggregate

  • _ : Any single character matched individually

Pattern matching is always a matter of comparison. Therefore, with either of these, never use operators of equality.

SELECT * FROM menu WHERE name = 's%'; 		        WRONG
SELECT * FROM menu WHERE...
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MySQL for Python
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