"The GNU Autotools (the GNU Build System) is a group of utilities designed to make it easy for developers to create software that is portable across many Unix-like operating systems. Unfortunately, most Autotools documentation is merely reference material, and a serious guide to the tools is needed.

I’m an “autotools lover” in the sense that i prefer having to deal with autotools-based buildsystem that most custom build-system that are as broken as they can possibly be. Or with cmake.

Just one week shy of Christmas 2008, the Python world saw the release of version 3 of Python. Big deal, eh? Well ... it turns out it was and is, as Python 3 is the first major release of Python designed from the get-go to be incompatible with prior versions of the language.

I HATE PYTHON! I also very much wish that people would quite writing large applications in Python. Python is incredibly slow for being as new and small as it is. I cannot subclass things like dict or list without overriding every single method in them.

The GNU autotools programs (autoconf, automake and libtool), which are used for making software portable between Unix-like operating systems, have been around for more than fifteen years now, but their use is still regarded by many programmers to be a dark art.

This is the second part of our series on the GNU autotools system, looking at autoconf, automake and libtool. In the previous installment, we looked at building a very simple C program, with just one source file, using autotools. In this article, we'll extend our program slightly, by shifting some data into a header file, and adding a man page.

"This version of my Python mode provides support for the
recently-released Python 3 [...] It's lightly tested; please report problems/deficiencies to me..."

Developers will be introduced to Spring Python and will learn to develop powerful applications after applying concepts of Spring to the environment of Python. Readers will shown how to use the IoC or Dependency Injection container for Python. Using Jython, developers will be able to link Python and Java components together efficiently as well as learn to add security to their Python application.

Learn to scale your UNIX® Python applications to multiple cores by using the multiprocessing module which is built into Python 2.6. Multiprocessing mimics parts of the threading API in Python to give the developer a high level of control over flocks of processes, but also incorporates many additional features unique to processes.