We are proud to announce the release of yt 3.2!


yt (http://yt-project.org) is an open source, community-developed toolkit for analysis and visualization of volumetric data of all types, with a particular emphasis on astrophysical simulations and nuclear engineering simulations.


Major enhancements


Minor enhancements


Bugfixes


Coming Soon!


The next major release of yt will be version 3.3, which is slated to include an overhaul of the volume rendering system and support for analyzing and visualizing unstructured mesh data.


Standard Installation Methods


As with previous releases, you can install yt from source using one of the following methods.


1) From the install script (http://yt-project.org/#getyt ):


Note, many of the dependencies have been updated since version 3.1.  If you previously installed yt from the install script, it is advised that you re-install yt from scratch.


# Installation


$ wget http://bitbucket.org/yt_analysis/yt/raw/stable/doc/install_script.sh

$ bash install_script.sh


# Update


$ yt update


2) From pip (source or binary wheel, see below for more details):


# Installation


$ pip install yt


# Update


$ pip install -U yt


3) From the Anaconda Python Distribution (https://store.continuum.io/cshop/anaconda/):


# Installation


$ conda install yt


# Update


$ conda update yt


Note that it might take a day or two for the conda package to be updated.


If you are on the “stable” branch, updating will bring you from yt 3.1 to 3.2, incorporating all

changes since 3.1, whereas if you are on the “dev” or “yt” branch, only the changes since

your last update should be incorporated.


Installing Binary Packages via pip


New to this release is the ability to install binary packages (“wheels”) using pip on Windows and Mac OS X (64-bit only for both). This has the advantage of not needing to install yt from source using a proper compiler setup, which has caused occasional problems on both of these platforms and prevented us from installing yt easily on other Python distributions.


We have so far been able to install and run the binary distribution via pip on the following platforms and Python stacks:


Note that it might take a day or two for the pip wheels to be updated.


Windows x86_64:



Mac OS X x86_64:



This is somewhat experimental, so other distributions may work (or not), please submit bug reports or successes to the mailing list or to the Bitbucket issues page (http://bitbucket.org/yt_analysis/yt/issues).


All distributions are recommended to be Python v. 2.7, although with yt 3.2 there is late-stage beta support for Python 3.4. The requirements for installing yt via this method are the same as from source:



To install a new version of yt on one of these platforms, simply do


$ pip install yt


and you should get the binary distribution automatically. Also, if your python installation is system-wide (e.g., the Mac system Python) you might need to run pip with administrator privileges.


For more information, including more installation instructions, links to community resources, and information on contributing to yt’s development, please see the yt homepage at http://yt-project.org and the documentation for yt-3.2 at http://yt-project.org/docs/3.2.


yt is the product of a large community of developers and users and we are extraordinarily grateful for and proud of their contributions. Please forward this announcement on to any interested parties.


As always, if you have any questions, concerns, or run into any trouble updating please don't hesitate to send a message to the mailing list or stop by our IRC channel.


All the best,

The yt development team