![]() SQLAlchemy provides a full suite of well known enterprise-level Gives application developers the full power and flexibility of SQL. ![]() SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that The tutorial in the documentation is pretty decent.Īnd of course for ORM SQLAlchemy is a good choice, as already mentioned in the other answers. oursql supports python 2.4 through 2.7 without any deprecation warnings on 2.6+ (see PEP 218) and without completely failing on 2.7 (see PEP 328).ĭb_connection = nnect(host='127.0.0.1',user='foo',passwd='foobar',db='db_name').oursql has unicode support on by default.oursql can both insert rows lazily and fetch rows lazily.oursql allows text or binary data to be streamed into the database and streamed out of the database, instead of requiring everything to be buffered in the client.oursql has real parameterization, sending the SQL and data to MySQL completely separately.Some of the reasons listed on that link, which say why oursql is better: Please note however, that the project is no longer maintained, and bug fixes are not being pushed either.Īs a db driver, there is also oursql. Use either mysqlclient or pymysql ( recommended). If you have existing code that uses MySQLdb, you can easily replace it with pymysql using this simple process: # import MySQLdb << Remove this line and replace with:Īll subsequent references to MySQLdb will use pymysql transparently. Sql = "SELECT `id`, `password` FROM `users` WHERE `email`=%s"ĪLSO - Replace MySQLdb in existing code quickly and transparently # connection is not autocommit by default. Sql = "INSERT INTO `users` (`email`, `password`) VALUES (%s, %s)" EVER! - PTSD from installing MySQLDb on Mac OSX and *Nix systems, but that's just me.Įxample usage from pymysql Github repo import pymysql.cursorsĬonnection = nnect(host='localhost', pymysql is a drop in replacement for MySQLDb and IMHO there is no reason to ever use MySQLDb for anything. This makes the installation process on all operating systems consistent and easy. It does all of what MySQLDb does, but it was implemented purely in Python with NO External Dependencies. Stop Using MySQLDb if you want to avoid installing mysql headers just to access mysql from python. Nothing other than having peewee ( pip install peewee) is required. It makes my day for small projects or stand alone apps, Where using big tools like SQLAlchemy or Django is overkill : import peeweeĭb = MySQLDatabase('jonhydb', user='john', passwd='megajonhy')īook = Book(author="me", title='Peewee is cool') It's a very lite ORM, really easy and fast to setup then use. ![]() ![]() I recently discovered another jewel in the Python world: peewee. I strongly advise you to use it: your life is going to be much easier. The most famous ORM in the Python community is SQLAlchemy. Once you know how it works, You may want to use an ORM to avoid writing SQL manually and manipulate your tables as they were Python objects. You will have to look at the documentation. Of course, there are thousand of possibilities and options this is a very basic example. # print all the first cell of all the rows It will letĬur.execute("SELECT * FROM YOUR_TABLE_NAME") Then it is just like using any other package : #!/usr/bin/pythonĭb = nnect(host="localhost", # your host, usually localhost This is not mandatory, But it will prevent me from answering 3 or 4 other questions in this post if something goes wrong. (You can use sudo apt-get install python-mysqldb (for debian based distros), yum install MySQL-python (for rpm-based), or dnf install python-mysql (for modern fedora distro) in command line to download.)įor Mac, you can install MySQLdb using Macport.Īfter installing, Reboot. Please note MySQLdb only supports Python 2.įor Windows user, you can get an exe of MySQLdb.įor Linux, this is a casual package (python-mysqldb). The most used package to do so is MySQLdb but it's hard to install it using easy_install. Unlike PHP, Only the SQLite driver is installed by default with Python. You must install a MySQL driver before doing anything. Connecting to MYSQL with Python 2 in three steps
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