MySQL for Python

Chapter 1. Getting Up and Running with MySQL for Python

It may seem rather unnecessary to start a book on MySQL for Python with a chapter on setting it up. There are, in fact, several ways to get MySQL for Python in a place such that your local Python installation can use it. Which one you use will depend as much on your familiarity with your operating system and with Python itself, as it will on which operating system and version of Python you are running.

In this chapter we will cover the following:

Where you can get MySQL for Python
Installing MySQL for Python
Importing the module into your programs
Accessing online help about the MySQL for Python API and its accompanying modules
How to connect to a database
How to create a MySQL cursor proxy within your Python program
How to close the database connection from Python
How to access multiple databases within one program

Getting MySQL for Python

How you get MySQL for Python depends on your operating system and the level of authorization you have on it. In the following subsections, we walk through the common operating systems and see how to get MySQL for Python on each.

Using a package manager (only on Linux)

Package managers are used regularly on Linux, but none come by default with Macintosh and Windows installations. So users of those systems can skip this section.

A package manager takes care of downloading, unpacking, installing, and configuring new software for you. In order to use one to install software on your Linux installation, you will need administrative privileges.

Administrative privileges on a Linux system can be obtained legitimately in one of the following three ways:

Log into the system as the root user (not recommended)
Switch user to the root user using su
Use sudo to execute a single command as the root user

The first two require knowledge of the root user's password. Logging into a system directly as the root user is not recommended due to the fact that there is no indication in the system logs as to who used the root account. Logging in as a normal user and then switching to root using su is better because it keeps an account of who did what on the machine and when. Either way, if you access the root account, you must be very careful because small mistakes can have major consequences. Unlike other operating systems, Linux assumes that you know what you are doing if you access the root account and will not stop you from going so far as deleting every file on the hard drive.

Unless you are familiar with Linux system administration, it is far better, safer, and more secure to prefix the sudo command to the package manager call. This will give you the benefit of restricting use of administrator-level authority to a single command. The chances of catastrophic mistakes are therefore mitigated to a great degree.

Tip

More information on any of these commands is available by prefacing either man or info before any of the preceding commands (su, sudo).

Which package manager you use depends on which of the two mainstream package management systems your distribution uses. Users of RedHat or Fedora, SUSE, or Mandriva will use the RPM Package Manager (RPM) system. Users of Debian, Ubuntu, and other Debian-derivatives will use the apt suite of tools available for Debian installations. Each package is discussed in the following:

Using RPMs and yum

If you use SUSE, RedHat, or Fedora, the operating system comes with the yum package manager. You can see if MySQLdb is known to the system by running a search (here using sudo):

sudo yum search mysqldb

If yum returns a hit, you can then install MySQL for Python with the following command:

sudo yum install mysqldb

Using RPMs and urpm

If you use Mandriva, you will need to use the urpm package manager in a similar fashion. To search use urpmq:

sudo urpmq mysqldb

And to install use urpmi:

sudo urpmi mysqldb

Using apt tools on Debian-like systems

Whether you run a version of Ubuntu, Xandros, or Debian, you will have access to aptitude, the default Debian package manager. Using sudo we can search for MySQLdb in the apt sources using the following command:

sudo aptitude search mysqldb

On most Debian-based distributions, MySQL for Python is listed as python-mysqldb.

Once you have found how apt references MySQL for Python, you can install it using the following code:

sudo aptitude install python-mysqldb

Using a package manager automates the entire process so you can move to the section Importing MySQL for Python.

Using an installer for Windows

Windows users will need to use the older 1.2.2 version of MySQL for Python. Using a web browser, go to the following link:

http://sourceforge.net/projects/mysql-python/files/

This page offers a listing of all available files for all platforms. At the end of the file listing, find mysql-python and click on it. The listing will unfold to show folders containing versions of MySQL for Python back to 0.9.1. The version we want is 1.2.2.

Note

Windows binaries do not currently exist for the 1.2.3 version of MySQL for Python. To get them, you would need to install a C compiler on your Windows installation and compile the binary from source.

This is outside the purpose of the present book, but tips for how to do this are contained in the README file that accompanies the 1.2.3 version.

Click on 1.2.2 and unfold the file listing. As you will see, the Windows binaries are differentiated by Python version—both 2.4 and 2.5 are supported. Choose the one that matches your Python installation and download it. Note that all available binaries are for 32-bit Windows installations, not 64-bit.

After downloading the binary, installation is a simple matter of double-clicking the installation EXE file and following the dialogue. Once the installation is complete, the module is ready for use. So go to the section Importing MySQL for Python.

Using an egg file

One of the easiest ways to obtain MySQL for Python is as an egg file, and it is best to use one of those files if you can. Several advantages can be gained from working with egg files such as:

They can include metadata about the package, including its dependencies
They allow for the use of egg-aware software, a helpful level of abstraction
Eggs can, technically, be placed on the Python executable path and used without unpacking
They save the user from installing packages for which they do not have the appropriate version of software
They are so portable that they can be used to extend the functionality of third-party applications

Installing egg handling software

One of the best known egg utilities—Easy Install, is available from the PEAK Developers' Center at http://peak.telecommunity.com/DevCenter/EasyInstall. How you install it depends on your operating system and whether you have package management software available. In the following section, we look at several ways to install Easy Install on the most common systems.

Using a package manager (Linux)

On Ubuntu you can try the following to install the easy_install tool (if not available already):

shell> sudo aptitude install python-setuptools

On RedHat or CentOS you can try using the yum package manager:

shell> sudo yum install python-setuptools

On Mandriva use urpmi:

shell> sudo urpmi python-setuptools

You must have administrator privileges to do the installations just mentioned.

Without a package manager (Mac, Linux)

If you do not have access to a Linux package manager, but nonetheless have a Unix variant as your operating system (for example, Mac OS X), you can install Python's setuptools manually. Go to:

http://pypi.python.org/pypi/setuptools#files

Download the relevant egg file for your Python version.

When the file is downloaded, open a terminal and change to the download directory. From there you can run the egg file as a shell script. For Python 2.5, the command would look like this:

sh setuptools-0.6c11-py2.5.egg

This will install several files, but the most important one for our purposes is easy_install, usually located in /usr/bin.

On Microsoft Windows

On Windows, one can download the setuptools suite from the following URL:

http://pypi.python.org/pypi/setuptools#files

From the list located there, select the most appropriate Windows executable file.

Once the download is completed, double-click the installation file and proceed through the dialogue. The installation process will set up several programs, but the one important for our purposes is easy_install.exe. Where this is located will differ by installation and may require using the search function from the Start Menu.

On 64-bit Windows, for example, it may be in the Program Files (x86) directory. If in doubt, do a search. On Windows XP with Python 2.5, it is located here:

C:\Python25\Scripts\easy_install.exe

Note that you may need administrator privileges to perform this installation. Otherwise, you will need to install the software for your own use. Depending on the setup of your system, this may not always work.

Installing software on Windows for your own use requires the following steps:

Copy the setuptools installation file to your Desktop.
Right-click on it and choose the runas option.
Enter the name of the user who has enough rights to install it (presumably yourself).

After the software has been installed, ensure that you know the location of the easy_install.exe file. You will need it to install MySQL for Python.

Installing MySQL for Python from an egg file

After installing EasyInstall, you still need to install the MySQL for Python egg. The egg files for MySQL for Python can be downloaded from the following URL:

http://sourceforge.net/projects/mysql-python/files/

There you will see a list of all available files relevant to MySQL for Python.

Which one you use depends on your operating system and your installed Python version. Currently, the only egg files available for MySQL for Python version 1.2.3c1 are for Linux running either Python 2.5 or 2.6. Mac users should use a tarball (tar.gz) file as discussed in the next section.

To get an egg file for Windows, click on the MySQL-python directory and select the 1.2.2 version. This is the same directory used for the Windows binaries discussed earlier in this chapter. This time, however, you need to select an egg for Windows that fits either Python 2.4 or 2.5. There is no 2.6 version.

Once you have the egg file for MySQL for Python, you simply need to invoke EasyInstall over the newly-downloaded egg file. How you do that will depend on the permissions you have for your operating system.

With administrator permissions, you can simply call the EasyInstall binary. For Linux, it will look like this:

shell> easy_install <name of egg file>

For Windows, you will use a command similar to this one:

C:\Python25\Scripts\easy_install.exe <name of egg file>

Note that you must have administrator privileges to do this. Otherwise, Windows users will have to install the software locally. Linux users can use sudo.

EasyInstall will then unpack the archive, install it in your default Python installation folders, and configure it for immediate use.

For Windows users, if you had to install setuptools locally, you may also require a local installation of Python itself in order to install MySQL for Python. See the section On Microsoft Windows under Installing egg-handling software, for help with this. If you need to go through this process, all of your configurations will be local, so you are best to use full path command-line calls.

If your system has MySQL, Python, and setuptools, but you still don't have administrative access, it is advisable to unpack the egg file manually and call it as a local module. To do this, use an archiving program to unzip the file.

The content listing for the Windows egg will look like this:

Egg-info
MySQLdb
_mysql_exceptions.py
_mysql_exceptions.pyc
_mysql.py
_mysql.pyc
_mysql.pyd

And the Linux egg unpacks to the following files:

Egg-info
MySQLdb
_mysql_exceptions.py
_mysql_exceptions.pyc
_mysql.py
_mysql.pyc
_mysql.so

With the exception of the egg-info directory, the contents are the basic ingredients of a Python module and can be imported locally if one's program resides in the same directory as the files are located.

Using a tarball (tar.gz file)

Due to the need for certain programming libraries, this method of installation applies only to users of Unix-derived operating systems. This method involves installing from the source files and so requires the necessary C libraries to compile a binary version. Windows users should therefore use one of the other methods discussed previously.

If you cannot use egg files or if you use an earlier version of Python, you should use the tar.gz file, a tar and gzip archive. The tar.gz archive follows the Linux egg files in the file listing. The current version of MySQL for Python is 1.2.3c1, so the file we want is as following:

MySQL-python-1.2.3c1.tar.gz

This method is by far more complicated than the others. If at all possible, use your operating system's installation method or an egg file.

This version of MySQL for Python is compatible up to Python 2.6. It is worth noting that MySQL for Python has not yet been released for Python 3.0 or later versions. In your deployment of the library, therefore, ensure that you are running Python 2.6 or earlier. As noted, Python 2.5 and 2.6 have version-specific releases. Prior to Python 2.4, you will need to use either a tar.gz version of the latest release or use an older version of MySQL for Python. The latter option is not recommended.

Most Unix-derived operating systems (Linux, Mac) come with the tar and gzip utilities pre-installed. For users of these systems, unpacking the archive is as simple as the following command:

shell> tar xvzf MySQL-python-1.2.3c1.tar.gz

The archive will then unpack into a directory called MySQL-python-1.2.3c1.

Windows users can use any of the following archive programs to unpack the tarball:

PowerArchiver 6.1
7-Zip
WinZip

Once the file is unpacked, you need to ensure that you have the program mysql_config in your path. For Mac users, this usually comes with the MySQL installation itself. For Linux, if you are using bash or another shell with command-line completion, you can check this by typing the following in a terminal:

shell> mysql_conf

Then press the tab key. If the command is completed to mysql_config, there are no issues, otherwise your operating system does not know of any such command, and you need to either find it or install it.

An alternative way of checking is to use the whereis command. Type the following from the command-line:

shell> whereis mysql_config

If it is installed, the system will return its location. Then echo your current PATH value by typing:

shell> echo $PATH

and compare the results. If the location of mysql_config is one of the values in your path, there are no issues otherwise, we need to either find it or install it.

The mysql_config program comes with the MySQL client development libraries. If you have these installed, check the directory that holds the MySQL client binary (use whereis mysql if necessary). If you are unsure, you can check with a package manager using the following commands:

shell> aptitude search mysql | grep client | grep dev

This will work for Debian-based systems. Users of RPM-based systems should substitute either yum search or urpmq for aptitude search. This query will return results for the development files and for the MySQL client, and you can then see if the appropriate package is installed. If it is not, you can install it with the install argument (for either aptitude or yum) or by using urpmi.

If the mysql_config program is installed, but is outside your path, you need to indicate its location to the MySQL for Python setup configuration. Navigate to the MySQL-python-1.2.3c1 directory and open the file site.cfg in your favorite text editor. The file is not large, and the following section is easily seen as the second part of the file:

#The path to mysql_config
#Only use this if mysql_config is not on your PATH,or you have some weird setup that requires it
#mysql_config = /usr/local/bin/mysql_config

If mysql_config is outside of your path, uncomment the last line of the part cited here and enter the correct path. So, if mysql_config is installed to:

/usr/local/bin/mysql/bin/mysql_config

The last line should read:

mysql_config = /usr/local/bin/mysql/bin/mysql_config

Then save the file and close it.

Next, we should build the package using the instructions that came with it in setup.py. Use the following command to attempt a build without installing it:

shell> python setup.py build

If the process goes through without error, which it usually does, the build is successful. If there is an error, it usually involves the lack of a module or software package. In which case, confirm that you have all the prerequisites needed for the task by checking the list in the readme file that comes with the archive.

Note

Be sure to read the readme file that comes with the source code. It contains a lot of help on the installation process.

Once the build is successful, installation can be done with the following command:

shell> python setup.py install

Note

Note that you will need super user access for this. If you do not have administrative access to your system, you need to use one of the other methods.

Importing MySQL for Python

The name of the project MySQL for Python is the current version of a project that began under the rubric MySQLdb. Consequently, unlike most Python modules, the MySQL for Python module is not called by its name, but by its historic handle. To import the module, insert the following into a Python program or simply type it in a following Python shell:

import MySQLdb

To make working with the module easier, you can also import it with an alias:

import MySQLdb as mysql

This allows us to use mysql instead of MySQLdb when we access parts of the module.

When you do this, several things will occur. You need not be concerned about most of them, but you should be aware that MySQLdb depends upon a module called _mysql. The _mysql module is largely a Python adaptation of the MySQL C API.

Tip

This is important to note because it is this API that you will access through MySQL for Python.

MySQL for Python is a wrapper for accessing the _mysql API. A wrapper is essentially a system of macros, or trusted code, that allows you to do common tasks quickly. It allows you to program without having to repeat commonly used or accessed variables and functions. The _mysql module is a powerful and proven way of accessing a MySQL database. However, controlling it within a Python program can pose a challenge for some, like driving a Formula 1 car for the first time. So consider MySQL for Python as a system that allows you to harness the power of a Formula 1 racing car even if you're merely driving a Hyundai.

Unlike some systems of macros, MySQL for Python still allows you to access the classes and functions of _mysql. This is due to the nature of Python's import functionality.

Accessing online help when you need it

As with other modules, Python is able to provide online help about MySQL for Python. In the following sections, we look at the MySQLdb and _mysql modules in greater depth using Python's built-in help() function.

MySQLdb

After importing MySQLdb, you can read over the documentation that accompanies the module. In a Python shell, type:

help(MySQLdb)

You will then see a manual page detailing all of the functions and classes of MySQL for Python. It is well worth giving this a cursory read to familiarize yourself with the module. In the course of this book, we will cover most of these items from various angles.

As the help page indicates, MySQLdb includes the following modules:

connections: Initiating, maintaining, and closing a connection to MySQL
cursors: Managing the execution of queries
converters: For converting between MySQL data types as well as between data types in MySQL and Python
times: Converting date and time values between MySQL and Python

Each of these is abstracted to the point of its own module in the source tree. Without a doubt, the most important part of the module is connections.py, without which we could not interface with MySQL. Where the others are static, the conversion module, convertors.py, allows you to define your own convertor on-the-fly.

The MySQLdb module itself has only one operating class that does not pertain to errors—DBAPISet. This is MySQLdb's internal object class for processing data. To interface with MySQL, however, we use functions. Of the several listed at the end of the MySQLdb help page, one uses connect() in every MySQLdb program.

At first glance, it may here be confusing to see that MySQLdb seems to have three ways of connecting with a database. In the list of functions, these are as follows:

connect()
Connection
Connect

Knowing the ins and outs of these functions is not necessary. It is, however, important to know that they exist and to recognize that the latter two are simply different ways of transferring data to the first. Connect() then passes the arguments to the connections. Connection() class, MySQLdb's MySQL database connection class, in the connections.py module.

_mysql

In looking over the module, you may also note that reference is made to the _mysql module, but it is not explicitly detailed. This is because it is a dependency and not part of the module itself. However, you can access the documentation for _mysql without importing it directly by using the MySQLdb namespace:

help(MySQLdb._mysql)

In the previous discussion about connections.Connection(), we stopped following the trail of the connection and any ensuing data transmission where MySQLdb stopped. In reality, however, the data does not stop there. When a connection or operational request is received by connections.Connection(), it is processed and passed to _mysql and subsequently to the MySQL API in C to perform it.

To handle this interface, _mysql uses two classes:

connection
result

The first is used to establish communication with MySQL and thus returns a connection object. The second, as the name implies, returns a set containing the results from a MySQL command that a program sends. These results can be either the query results or an error. _mysql naturally passes the error to the calling process. In the case of MySQLdb, we then have a comprehensive toolbox to handle the errors that may arise.

Connecting with a database

In making a phone call, one picks up the handset, dials a number, talks and listens, and then hangs up. Making a database connection through MySQL for Python is nearly as simple. The four stages of database communication in Python are as follows:

Creating a connection object
Creating a cursor object
Interacting with the database
Closing the connection

Creating a connection object

As mentioned previously, we use connect() to create an object for the program's connection to the database. This process automates logging into the database and selecting a database to be used.

The syntax for calling the connect() function and assigning the results to a variable is as follows:

[variable] = MySQLdb.connect([hostname], [username], [password],[database name])

Naming these variables as you assign the values is not required, but it is good practice until you get used to the format of the function call. So for the first few chapters of this book, we will use the following format to call the connect() function:

[variable] = MySQLdb.connect(host="[hostname]", user="[username]", passwd="[password]", db="[database name]")

Let's say we have a database-driven application that creates the menu for a seafood restaurant. We need to query all of the fish from the menu database in order to input them into a new menu. The database is named menu.

Note

If you do not have a database called menu, you will obviously not be able to connect to it with these examples. To create the database that we are using in this example, put the following code into a text file with the name menu.sql:

CREATE DATABASE `menu`;
USE menu;

DROP TABLE IF EXISTS `fish`;
SET @saved_cs_client     = @@character_set_client;
SET character_set_client = utf8;
CREATE TABLE `fish` (
  `ID` int(11) NOT NULL auto_increment,
  `NAME` varchar(30) NOT NULL default ‘’,
  `PRICE` decimal(5,2) NOT NULL default ‘0.00’,
  PRIMARY KEY  (`ID`)
) ENGINE=MyISAM AUTO_INCREMENT=27 DEFAULT CHARSET=latin1;
SET character_set_client = @saved_cs_client;

LOCK TABLES `fish` WRITE;
INSERT INTO `fish` VALUES (1,’catfish’,’8.50’),(2,’catfish’,’8.50’),(3,’tuna’,’8.00’),(4,’catfish’,’5.00’),(5,’bass’,’6.75’),(6,’haddock’,’6.50’),(7,’salmon’,’9.50’),(8,’trout’,’6.00’),(9,’tuna’,’7.50’),(10,’yellowfin tuna’,’12.00’),(11,’yellowfin tuna’,’13.00’),(12,’tuna’,’7.50’);
UNLOCK TABLES;

Then log into your MySQL session from the directory in which the file menu.sql is located and type the following:

source menu.sql

This will cause MySQL to create and populate our example database.

For this example, the database and program reside on the same host, so we can use localhost. The user for the database is skipper with password mysecret. After importing the MySQL for Python module, we would call the connect() function as follows:

mydb = MySQLdb.connect(host="localhost",
                       user="skipper",
                       passwd="mysecret",
                       db="menu")

The connect() function acts as a foil for the connection class in connections.py and returns an object to the calling process. So in this example, assigning the value of MySQLdb.connect() to mydb renders mydb as a connection object. To illustrate this, you can create the necessary database in MySQL, connect to it as shown previously, then type help(mydb) at the Python shell prompt. You will then be presented with large amounts of information pertinent to MySQLdb.connections objects.

Creating a cursor object

After the connection object is created, you cannot interact with the database until you create a cursor object. The name cursor belies the purpose of this object. Cursors exist in any productivity application and have been a part of computing since the beginning. The point of a cursor is to mark your place and to allow you to issue commands to the computer. A cursor in MySQL for Python serves as a Python-based proxy for the cursor in a MySQL shell session, where MySQL would create the real cursor for us if we logged into a MySQL database. We must here create the proxy ourselves.

To create the cursor, we use the cursor() method of the MySQLdb.connections object we created for the connection. The syntax is as follows:

[cursor name] = [connection object name].cursor()

Using our example of the menu database above, we can use a generic name cursor for the database cursor and create it in this way:

cursor = mydb.cursor()

Now, we are ready to issue commands.

Interacting with the database

Many SQL commands can be issued using a single function as:

cursor.execute()

There are other ways to issue commands to MySQL depending on the results one wants back, but this is one of the most common. Its use will be addressed in greater detail in future chapters.

Closing the connection

In MySQL, you are expected to close the databases and end the session by issuing either quit or exit.

To do this in Python, we use the close() method of the database object. Whether you close a database outright depends on what actions you have performed and whether MySQL's auto-commit feature is turned on. By default, MySQL has autocommit switched on. Your database administrator will be able to confirm whether auto-commit is switched on. If it is not, you will need to commit any changes you have made. We do this by calling the commit method of the database object. For mydb, it would look like this:

mydb.commit()

After all changes have been committed, we can then close the database:

mydb.close()

Summary

In this chapter we have looked at where to find MySQL for Python, as it is not part of Python by default. We have also seen how to install it on both Windows and non-Windows systems—UNIX-like and Linux distributions. The authors of MySQL for Python have taken the pain out of this by providing a very easy way to install through an egg utility like EasyInstall.

Like most modules, MySQL for Python must be imported before you can use it in Python. So we then looked at how to import it. Unlike most modules, we saw that MySQL for Python needs to be imported by its earlier moniker, MySQLdb.

After that, we took a peek at what is waiting for us under the MySQL for Python covers using help(). We saw that MySQL for Python is not an interface to MySQL itself but to a MySQL Database API that is built into Python. It has a large number of classes for handling errors, but only one for processing data (There are different kinds of cursors). Further, it does not even use classes to access MySQL, but uses functions to process and pass information to _mysql, which then passes it to the C MySQL database interface.

Following this trail, we also saw that _mysql does not have a robust facility for handling errors, but only passes them to the calling process. That is why MySQL for Python has such a robust error handling facility.

Next, we saw how to connect to a MySQL database. As with most parts of Python, this is easy for beginners. But the function used is also sufficiently robust to handle the more complex needs of advanced solutions.

After connecting, we created a MySQLdb cursor and prepared to interact with the database. This showed that, while there are many things that MySQLdb will take care of for us (like connection closure), there are some things we need to do manually. In this instance, it is creating the cursor object that represents the MySQL cursor.

Finally, we saw that one can connect to multiple databases by simply using different object names for each connection. This has the consequence of necessitating different namespaces as we refer to the methods and attributes of each object. But it also allows one to bridge between databases across multiple hosts seamlessly and to present a unified interface for a user.

In the next chapter, we will see how to form a MySQL query and pass it from Python using variables from the system, MySQL, and the user.

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RandomUser2221 Jan 25, 2011

I must say that I'm rather impressed at the variety of topics that the book covers.It starts off with the basics of setting up MySQL for your testing/development needs by going over several of the common installation and configuration methods. After that it's a quick intro for connection methods and simple error reporting for connections. The author gives a quick intro to CRUD and how it relates to databases and python before heading into the common tasks of simple queries. I was surprised to see some database profiling discussion; which is rather handy for a new coder or a person new to MySQL. Once the basics of Inserts/Selects/Updates/Deletes are covered, which is a rather quick read, there is a welcome discussion of transactions and commit methods - if you do not read this section and are new to MySQL then believe me, you're missing a very important topic. Most people will gloss over the basics and head right to the more advanced chapters that feature exception handling, the all too common "the mysql server has gone away" error, date&time functions, aggregate functions, and metadata queries. These chapters were the most interesting to me as they covered some great code for python that I have not yet played around with. Previously I've done a lot of work on those topics with perl and php so seeing how they were done in python was a great treat. The code is concise, easy to read, and well explained.A number of topics cover the time saving solutions that no one should be without. Namely, bulk data inserting, data formatting, row iteration, and CSV parsing. Logging methods for access and changes to the database are also covered, and in the end will save your development cycle a lot of time when you are troubleshooting app-to-db interaction.Two chapters will be of interest to DBAs in particular, and possibly not as interesting to pure developers, of which these are the Disaster Recovery and MySQL Administration topics. The author covers offline backups as well as online hot backups, two sections that no DBA should be without. The code for this type of work is covered in a decent amount of discussion but, along with the other chapters in the book, the theory and background of the topic is also discussed which gives the new reader an understanding of "why" and not just left with the "how". The administration section of the book covers user creation and permissions management, along with a bit of background on security involved with that task, and also goes into quite a lot of coverage on web-based GUI administration and command line interaction for admin purposes.Overall I enjoyed the contents of the book and would recommend taking a look if you are new to Python and MySQL or are even looking for a quick reference to the common tasks of database driven application development. This book does not cover the common ORM database interactions you're likely to see in an app like Django or Pylons, but it will give you a solid foundation on how python and MySQL interact without an abstraction layer. If you are writing quick admin code or building your own database interaction layer, then this book would do well to be in your collection.

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sujin wie Jun 24, 2013

There are a little simple example.But it was to explain detail and to useful information for me..So I recommended that book!

Bernard Peek Apr 10, 2017

A useful different approach to implementing data-driven applications with Python and MySQL. The target audience is python developers who have never worked with relational databases.

Mark Jaffe Feb 22, 2011

This is a comprehensive tutorial on using the mysql module for Python and for using MySQL ingeneral. Although the author's native language may not be English, I found the oddly-phrasedtext to be quite understandable and easy to follow. I have been a MySQL user for a number ofyears now, and would have welcomed this book to my bookshelf several years ago when I wastrying to solve some of the problems laid out in detail in this book.Topics covered include creating and dropping databases, users and tables, inserting, updatingand deleting data in tables, and manipulating user permissions. A functioning PHP applicationis presented in a few chapters which can be used to demonstrate the examples used throughoutthe book. The publisher's Web site provides downloadable code for the examples.

Dalli Vamsidhar Reddy May 05, 2018

Very nice book for data manipulation in MySQL through Python programming

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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Installing MySQL for Python from an egg file

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