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Albert Lukaszewski

MySQL for Python

In DetailPython 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.
A practical manual packed with step-by-step examples to manage your MySQL database efficiently through Python
ApproachThis is a practical, tutorial-style book that includes many examples to demonstrate the full potential of MySQL for Python. Every chapter starts with an explanation of the various areas for using MySQL for Python and ends with work on a sample application using the programming calls just learned. All complicated concepts are broken down to be very easy to understand.
Everything in the book is designed to help you learn and use MySQL for Python to address your programming needs in the fastest way possible.
Who this book is forThis book is meant for intermediate users of Python who want hassle-free access to their MySQL database through Python. If you are a Python programmer who wants database-support in your Python applications, then this book is for you. This book is a must-read for every focused user of the MySQL for Python library who wants real-world applications using this powerful combination of Python and MySQL.
496 trykte sider
Udgivelsesår
2010
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  • DDaudalagidhar citeretfor 2 år siden
    Catching different exceptions

    To customize which error is caught, we need different except clauses. The basic structure of this strategy is as follows:
    try:

    except ErrorType1:

    except ErrorType2:
  • DDaudalagidhar citeretfor 2 år siden
    Each of the previous types can be caught with the DatabaseError type. However, catching them separately allows you to customize responses. For example, you may want the application to fail softly for the user when a ProgrammingError is raised but nonetheless want the exception to be reported to the development team. You can do that with customized exception handling.
  • DDaudalagidhar citeretfor 2 år siden
    For exceptions see:
    http://python.about.com/od/pythonstandardlibrary/a/lib_exceptions.htm
    For warnings visit:
    http://python.about.com/od/pythonstandardlibrary/a/lib_warnings.htm
    The Python documentation also covers them at:
    http://docs.python.org/library/exceptions.html

    References

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