Sponsorised links
This year
2007
Writing An Hadoop MapReduce Program In Python - Michael G. Noll
by ogrisel
Even though the Hadoop framework is written in Java, programs for Hadoop need not to be coded in Java but can also be developed in other languages like Python or C (the latter since version 0.14.1). However, the documentation and the most prominent Python example on the Hadoop home page could make you think that you must translate your Python code using Jython into a Java jar file. Obviously, this is not very convenient and can even be problematic if you depend on Python features not provided by Jython. Another issue of the Jython approach is the overhead of writing your Python program in such a way that it can interact with Hadoop - just have a look at the example in ${HADOOP_INSTALL}/src/examples/python/WordCount.py and you see what I mean. I still recommend to have at least a look at the Jython approach and maybe even at the new C MapReduce API called Pipes, it's really interesting.
Having that said, the ground is prepared for the purpose of this tutorial: writing a Hadoop MapReduce program in a more Pythonic way, i.e. in a way you should be familiar with.
The OCaml Summer Project
by ogrisel
(via)
From August 15th-17th we had our OSP end-of-summer meeting. Twelve participants from nine of the projects attended. We also had invited talks from Olin Shivers and Phil Wadler. Several people from local universities (NYU, Long Island University) and companies also
attended.
Concurrent Programming
by bl5189e0
& 1 other
concurrent programming: resources, pictures, news and links
Sponsorised links
2006
Stackless.com - About Stackless
by YukuanMark
& 5 others
Stackless Python is an enhanced version of the Python programming language. It allows programmers to reap the benefits of thread-based programming without the performance and complexity problems associated with conventional threads. The microthreads that
2005
1
(17 marks)
