Skip to main content

An analysis and visualization toolkit for Astrophysical simulations.

Project description

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!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

yt-2.6.1.tar.gz (2.3 MB view details)

Uploaded Source

File details

Details for the file yt-2.6.1.tar.gz.

File metadata

  • Download URL: yt-2.6.1.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for yt-2.6.1.tar.gz
Algorithm Hash digest
SHA256 4d4b724ffe47dfa75736fe034c5ab4385b33f4d22c7f97cea45ee0933d1959c1
MD5 61be55d527697c03c24b00ce65357938
BLAKE2b-256 27ee47a4ac777a6657d162230ec93c14d95bc5f8db151a4a0807f32198d1301e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page