Source

yt /

Filename Size Date modified Message
doc
scripts
tests
yt
840 B
Adding an alias for JohnF to .hgchurn.
1.0 KB
Adding a missing autogenerated c routine yt .hgignore.
248.8 KB
Added tag last_gplv3 for changeset 079e456c38a8
1.0 KB
Adding citation file.
3.8 KB
Updating Contributors and replacing LICENSE.txt with COPYING.txt.
2.7 KB
Updating Contributors and replacing LICENSE.txt with COPYING.txt.
430 B
Include nose.cfg in MANIFEST.in
891 B
Updating README.
143 B
Adding api.py modules for everthing
16.8 KB
Upgrading to the latest version of the distribute setup script.
62 B
Don't know how that happened.
127 B
Shouldn't change this
8.9 KB
Merging from months of development.

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:

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.

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

Enjoy!

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