We are proud to announce the release of yt 3.3.5!

yt (http://yt-project.org) is an open-source, community-developed toolkit for analysis and visualization of volumetric data.

Version 3.3.5 is a regularly scheduled bugfix release including fixes for a number of issues reported since the release of yt 3.3.4.  We urge all users to update to the latest version.

If your python installation is managed via conda, update following:

$ conda update -c conda-forge yt

If your python installation is managed via pip, update following:

$ pip install -U yt

Finally, if you manage your yt installation by running out of a clone of the yt mercurial repository, update following:

$ yt update

We would like to thank the following people for their contributions to this release:

Nathan Goldbaum

Kacper Kowalik

Andrew Myers

John ZuHone

A summary of changes in this release, along with a link to the pull request implementing the changes follow below:

Fix for off-axis projections of multiple fields producing data only for the first field (PR 2502)

Don't attempt to parse inputs or probins files for generic BoxLib data (PR 2517)

Fix C compilation warnings (PR 2519)

Fix an error in the halos plot callback that was unintentionally introduced on the stable branch while backporting another bugfix for yt 3.3.4 (PR 2520)

Ensure transparent volume renderings can be composited (PR 2521)

Allow user customization of the mean molecular weight via a field parameter in the Gadget temperature field (PR 2523)

Fix syntax error in code example in the documentation (PR 2524)