1. The yt Project
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Source

yt /

Filename Size Date modified Message
benchmarks
doc
docker
scripts
tests
yt
2.4 KB
update CREDITS too
2.6 KB
Add allocation_container.c to .hgignore
256.6 KB
Added tag yt-3.3.1 for changeset 9bc3d0e9b750
6 B
Remove changes
2.0 KB
Don't use /apjs macro in citation examples. Closes #1286
40.6 KB
Terminology change.
3.9 KB
Updating Contributors and replacing LICENSE.txt with COPYING.txt.
5.6 KB
more CREDITS entries
928 B
Adding mesh_types.yaml to MANIFEST.in
876 B
Dummy commit
836 B
Just use the Miniconda on the system
45 B
Make "clean.sh" use "hg purge --all"
62 B
Don't know how that happened.
781 B
turn off rules E305 and E306
16.8 KB
4.7 KB
[bugfix] ensure message printed out when openmp isn't available is a string

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 NumPy, Matplotlib, SymPy and Cython for a variety of tasks.

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!