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Hi there! You've just downloaded yt, an analysis tool for scientific datasets, generated on a variety of data platforms. 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:

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

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

For more information on installation, what to do if you run into problems, or ways to help development, please visit our website.


Recent activity

Matthew Turk

Matthew Turk pushed 5 commits to MatthewTurk/yt-3.0

30e9ec2 - Adding comments to ContourFinding.pyx.
d39fa2e - Update Clump object to use new identify_contours.
8238faf - Don't compare NaN values, as we now filter them out.
081c945 - Fixing how the nans are checked for, which is slightly more expensive.
0fe4a50 - Ensure we don't preload derived fields.
Matthew Turk

Matthew Turk pushed 4 commits to MatthewTurk/yt-3.0

030e473 - Update argument order in proj docstring.
0d41cc2 - Adding a few tests that have caused me issues in the past.
bc562b0 - Re-enable tests for cut_region, remove extract_region as it is gone.
5752e50 - Adding docstring to cut_region
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