1. The yt Project
  2. Obsolete
  3. yt-3.0


yt-3.0 /

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Hi there! You've just downloaded yt, an analysis tool for Enzo adaptive mesh refinement datasets. It's written in python and based on the NumPy and Matplotlib components.

Full documentation is available online at http://yt.enzotools.org/ .

If you have used Python before, and are comfortable with installing packages, you should find the setup.py script fairly straightforward.

If you would rather a more automated installation, you can use the script doc/install_script.sh . You will have to set the destination directory, and there are options available, but it should be straightforward.

Please feel free to help out, and if you make any cool changes or enhancements, let me know! The Trac site at http://yt.enzotools.org/ has mechanisms for ticket and problem submission, as well as an ever-growing Wiki. I also encourage you to sign up for the yt-users mailing list, where there is a growing community of users ready to help out with problems and ideas!

-- Matthew Turk, matthewturk@gmail.com