1. The yt Project
  2. Untitled project
  3. yt

Source

yt /

Filename Size Date modified Message
benchmarks
doc
docker
scripts
tests
yt
1.6 KB
Updating CREDITS file
2.1 KB
updating hgignore
249.0 KB
Merge
6 B
Remove changes
1.8 KB
Updating ORIGAMI with latest version from Bridget, adding citation.
39.4 KB
Minor updates for formatting in CONTRIBUTING file
3.8 KB
Updating Contributors and replacing LICENSE.txt with COPYING.txt.
4.7 KB
Updating CREDITS file
812 B
Merging with mainline
876 B
Dummy commit
143 B
Adding api.py modules for everthing
62 B
Don't know how that happened.
17 B
Updated to put ipython dependencies in optional-requirements.txt with bracket syntax
88 B
Remove netCDF4 as one of the requirements
720 B
Add W292 (no newline at end of file) to ignored flake8 rules.
16.3 KB
Refactor setuptools usage
2.8 KB
Refactor setuptools usage

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!