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| * psycopg (http://www.zope.org/Members/fog/psycopg) (!) preferable
*important notes for psycopg
*for commands that require running outside of a transaction use autocommit
*never commit on a cursor, always commit on a connection
| * psycopg
* psycopg1: http://initd.org/projects/psycopg1
* psycopg2: http://initd.org/projects/psycopg2
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|Actualy it's a full-fleged SQL server, but embeddable. No external SQL server required. Think of Gadfly, only faster.
| * pysqlite: http://pysqlite.org/
* Have versions for both SQLite 2 and 3.
* APSW: http://www.rogerbinns.com/apsw.html
* SQLite 3 only.
* Not DBAPI compliant. Focus on wrapping all SQLite APIs.
I don't think so. Now they surely have to be refactored both, but ChoosingDatabase seems to be a good page for one place for categorized comparision to narrow novice's choice while that is merely a catalog. -- MikeRovner DateTime(2003-02-11T16:50:45)
See also HigherLevelDatabaseProgramming
Things you connect to.
mysqldb module http://www.mysql.com/downloads/api-python.html
PyGreSQL (http://www.pygresql.org) and PoPy (http://sourceforge.net/projects/popy) are [http://archives.postgresql.org/pgsql-announce/2003-07/msg00002.php merging]
- Asynchronous and pure Python. Speed comparable to C bindings. Special support for Twisted.
See ["Oracle"] for details, there are two choices:
module developed by Dave Cole http://www.object-craft.com.au/projects/sybase/
by Dave Cole: http://www.object-craft.com.au/projects/mssql/
Pure Python DB-API 2.0 module http://www.thinksql.co.uk
DB-API 2.0 module available here: http://informixdb.sourceforge.net/
Native Python Databases
Gadfly is a simple relational database system implemented in Python based on the SQL Structured Query Language.
SnakeSQL is a pure Python SQL database written to remove the dependence of the Python Web Modules on 3rd party drivers for non-Python databases like MySQL but designed to be a useful database in its own right.
http://www.zope.org/Wikis/ZODB Zope Object DB
A [http://www.python.org/doc/current/lib/module-shelve.html shelf] is a persistent, dictionary-like object. The difference with dbm databases is that the values (not the keys!) in a shelf can be essentially arbitrary Python objects -- anything that the [http://www.python.org/doc/current/lib/module-pickle.html pickle] module can handle. This includes most class instances, recursive data types, and objects containing lots of shared sub-objects. The keys are ordinary strings.
Things you open.
Which stands for .dbf files interface.BR .dbf files were produced by several old systems like dBase(II,III,IV), Fox(Base,Pro)
xBase (http://linux.techass.com/projects/xdb/) - Python interface in plans
http://www.fiby.at/dbfpy/index.html - working now. or (take it [http://starship.python.net/crew/jjkunce/python/dbfpy.tgz here])
http://www.e-bachmann.dk/docs/xbase.htm - dead link
A family of old unix plain hash tables. Has varieties like dbm, ndbm, gdbm, dbmdb185.BR See [http://www.python.org/doc/current/lib/module-anydbm.html anydbm], [http://www.python.org/doc/current/lib/module-dumbdbm.html dumbdbm], [http://www.python.org/doc/current/lib/module-dbhash.html dbhash], [http://www.python.org/doc/current/lib/module-bsddb.html bsddb], [http://www.python.org/doc/current/lib/module-dbm.html dbm], [http://www.python.org/doc/current/lib/module-gdbm.html gdbm] in Python Standard Library.
- Have versions for both SQLite 2 and 3.
- SQLite 3 only.
- Not DBAPI compliant. Focus on wrapping all SQLite APIs.
XML Databases or Interfaces
[http://cvs.infrae.com/forest/ Forest] is a (native) XML database written in Python. It is intended to support fast queries of XML data.
[http://sqlobject.org SQLObject] is an object-relational mapper. It allows you to translate RDBMS table rows into Python objects, and manipulate those objects to transparently manipulate the database.
[http://www.tux4web.de/orm ORM] The Object Relational Membrane is a Python package that provides the functionality of an object relational layer like EJB or other persistence storage systems. It is a thin compatibility layer between SQL table layouts and Object Oriented Python. While providing a good deal of functionality, it tries to be as small and simple as possible. It works with PostgreSQL and MySQL.
See also HigherLevelDatabaseProgramming.