Sessions at EuroPython 2011 about map/reduce and Hadoop on Friday 24th June

Hadoop is the leading open source implementation of MapReduce,
Google's large scale distributed computing paradigm. Hadoop's native
API is in Java, and its built-in options for Python programming --
Streaming and Jython -- have several drawbacks: the former allows to
access only a small subset of Hadoop's features, while the latter
carries with it all of the limitations of Jython with respect to
CPython.

Pydoop (http://pydoop.sourceforge.net) is an API for Hadoop that makes
most of its features available to Python programmers while allowing
CPython development. Its core consists of Boost.Python wrappers for
Hadoop's C/C++ interface.

The talk consists of a MapReduce/Hadoop tutorial and a presentation of
the Pydoop API, with the main goal of bridging the gap between the
Hadoop and Python communities. A basic knowledge of distributed
programming is helpful but not strictly required.