The developers of PyGreSQL and PoPy are pleased to announce that they have

decided to merge the two projects. It was felt that the two projects

were alike in many ways but with different strengths which will allow

them to create a more powerful product over all.

D'Arcy J.M. Cain and Thierry Michel will share duties of core for the new

project which will be called PyGreSQL. They will be responsible for

making sure that the code base is kept to the highest standards that

the users are accustomed to as well as controlling who has write access

to the new project's source repository.

PyGreSQL is a python module that interfaces to a PostgreSQL database. It

embeds the PostgreSQL query library to allow easy use of the powerful

PostgreSQL features from a Python script.

PyGreSQL is based on the PyGres95 code written by Pascal Andre,

andre@chimay.via.ecp.fr. The code was changed to version to 2.0 and

updated for Python 1.5 and PostgreSQL 6.2.1 and was made fully ANSI

compliant. Later versions are fixes and enhancements to that. The

latest version of PyGreSQL works with Python 2.2 and PostgreSQL 7.3.

PoPy is another python module connecting python and PostgreSQL. It

has been written with emphasis on complying with the Database API

specification of python's Database Special Interest Group, without

sacrificing speed of execution. In particular, it complies with the DB

API version 2.0, with thread safety level 2. PoPy has support for

large objects (BLOBs), arrays, and date objects. It also permits both

external and internal database procedure calls. [ed comment: what does

this mean?] As a convenience to programmers, it automatically performs

conversions between python and PostgreSQL types, and signals dynamic

problems using fine-grained exceptions.

Moreover, PoPy's sister product, ZPoPyDA offered the first really usable

database adapter connecting the Zope system and PostgreSQL.

The new project will be called PyGreSQL. The version of the next release

will be bumped to 4.0 to reflect this major change to the development.

Further information will be posted to the project's web site at

http://www.PyGreSQL.org/.