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Hi there! You've just downloaded yt, an analysis tool for astrophysical simulation datasets, generated by simulation platforms like Enzo, Orion, FLASH, Nyx, MAESTRO, ART and Ramses. It's written in python and heavily leverages both NumPy and Matplotlib for fast arrays and visualization, respectively.

Full documentation and a user community can be found at:

http://yt-project.org/ http://yt-project.org/doc/

If you have used Python before, and are comfortable with installing packages, you should find the setup.py script fairly straightforward: simply execute "python setup.py install".

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.

In case of any problems, please email the yt-users mailing list, and if you're interested in helping out, see the developer documentation:

http://yt-project.org/doc/advanced/developing.html

Enjoy!

Recent activity

Christopher Moody

Commits by Christopher Moody were pushed to juxtaposicion/yt-dev

729ee75 - fixed a bug where loading data from a grid was different than from gathering via all_data()
Christopher Moody

Commits by Christopher Moody were pushed to juxtaposicion/yt-dev

3bc92c1 - fixed bug where loading star masses would wipe out other particles masse
Christopher Moody

Commits by Christopher Moody were pushed to juxtaposicion/yt-dev

95cb567 - particle_metallicity is now recognized as a stellar field
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