Source

yt /

Filename Size Date modified Message
benchmarks
doc
docker
scripts
tests
yt
1022 B
Adding new contributors, updating .hgchurn.
1.9 KB
Adding an autogenerated c file to hgignore
249.0 KB
Merge
6 B
Updated requirements.txt and .python-version to reflect what the install_script sets up.
1.8 KB
Updating ORIGAMI with latest version from Bridget, adding citation.
3.8 KB
Updating Contributors and replacing LICENSE.txt with COPYING.txt.
3.8 KB
Removing duplicate entry.
845 B
Ensure mapserver data is in source distribution and is installed
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
87 B
Separate IPython requirements into its own requirements file and remove yt-x86_64 from .hgignore
496 B
Add E123 and E124 to this list of ignored rules and ignore _mpl_imports,
7.0 KB
Ensure mapserver data is in source distribution and is installed

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!