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| 1 | Hi there! You've just downloaded yt, an analysis tool for astrophysical |
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| 2 | simulation datasets, generated by simulation platforms like Enzo, Orion, |
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| 3 | CASTRO, MAESTRO, ART and Ramses. It's written in python and heavily leverages |
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| 4 | both NumPy and Matplotlib for fast arrays and visualization, respectively. |
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| 5 | |
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| 6 | Full documentation and a user community can be found at: |
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| 7 | |
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| 8 | http://yt-project.org/ |
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| 9 | http://yt-project.org/doc/ |
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| 10 | |
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| 11 | If you have used Python before, and are comfortable with installing packages, |
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| 12 | you should find the setup.py script fairly straightforward: simply execute |
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| 13 | "python setup.py install". |
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| 14 | |
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| 15 | If you would rather a more automated installation, you can use the script |
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| 16 | doc/install_script.sh . You will have to set the destination directory, and |
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| 17 | there are options available, but it should be straightforward. |
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| 18 | |
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| 19 | In case of any problems, please email the yt-users mailing list, and if you're |
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| 20 | interested in helping out, see the developer documentation in |
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| 21 | doc/how_to_develop_yt.txt or at: |
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| 22 | |
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| 23 | http://yt-project.org/doc/advanced/developing.html |
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| 24 | |
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| 25 | Enjoy! |
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