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Don't show this againyt_analysis / yt http://yt-project.org/
yt is a python package for analyzing and visualizing astrophysical simulation output from a couple simulation platforms. Check out the homepage (there's a link just above!) where we have documentation, a cookbook, and some user community information.
hg clone https://bitbucket.org/yt_analysis/yt
hg clone ssh://hg@bitbucket.org/yt_analysis/yt
yt overview
Recent commits See more »
| Author | Revision | Comments | Message | Labels | Date |
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Matthew Turk
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e4de6464d110 |
Adding option of centering with 'c' or 'center' for data objects. |
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Matthew Turk
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3442625bb24f |
Add some error handling and display the returned shorturl. |
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Matthew Turk
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cb1c91fa33e8 |
Removing the memory fallback function. |
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Matthew Turk
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2e81827abac4 |
Merged in xarthisius/yt (pull request #158) |
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Kacper Kowalik
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2f1fc1c2983a |
[clump_handling:find_clumps] Don't assume that Density field exists |
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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, CASTRO, 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 in doc/how_to_develop_yt.txt or at:
http://yt-project.org/doc/advanced/developing.html
Enjoy!