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:
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!
Metadata
Release files for yt 2.6.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| yt-2.6.2.tar.gz | 2.4 MB | Details |
Release files / yt-2.6.2.tar.gz
| Download URL | yt-2.6.2.tar.gz |
|---|---|
| Size | 2.4 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
de0e617aeb6e589adb37b7f229aaa4914358ec8eb20fd116f5e269a3c2de59d6
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BLAKE2b-256 checksum How to use checksums |
3a0815f9f93b4d9e9c01c78b53610705c004c22407344bdf4b3ec824376271e1
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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