MATLAB® and NumPy/SciPy have a lot in common. But there are many differences. NumPy and SciPy were created to do numerical and scientific computing in the most natural way with Python, not to be MATLAB® clones. This page is intended to be a place to collect wisdom about the differences, mostly for the purpose of helping proficient MATLAB® users become proficient NumPy and SciPy users. NumPyProConPage is another page for curious people who are thinking of adopting Python with NumPy and SciPy instead of MATLAB® and want to see a list of pros and cons.
Here, I am collecting python snippets that I find enlightening and/or just useful. On a subpage, you find a JPype-using hack to access Weka's Java classes from Python.
Want to write shorter, cleaner code? Have an unfortunate situation where you need to fit as much as you can in one expression? Prefer a quick dose of hacks to spending the rest of your life reading the docs? You've come to the right place.
Behold, behold, Rails 2.0 is almost here. But before we can slap on the final stamp, we’re going to pass through a couple of trial release phases. The first is this preview release, which allows you to sample the goodies in their almost finished state.
This is a collection of Erlang example programs. The document is also available as a postscript or pdf file. All the programs referred to are available in the archive examples-2.0.tgz. The programs attempt to do useful things, thus you will find complete
Python Cookbook Welcome to the Python Cookbook, a collaborative collection of your contributions to Python lore. Python Cookbook code is freely available for use and review. We encourage you to contribute recipes (code and discussion), comments and rati