Hi everyone! We're trying something new -- there's a lot going on in
the yt community, and we wanted to tell you about some of it.
## yt 4.2
As you may have seen recently, yt 4.2 was released at the end of May:
https://github.com/yt-project/yt/releases/tag/yt-4.2.0
Many, *many* thanks to Clément Robert for pushing forward so much of
this release. It includes a number of enhancements, but perhaps one
of the most important is a major improvement to how yt stores and
handles index files for …
[View More]particle datasets. This work was a
collaboration including John ZuHone and Kacper Kowalik.
We also want to take this opportunity to remind folks that yt
development can be community-driven -- which means sharing with us
feedback, thoughts on what can be improved, and even chipping in to
help out with code, documentation, and even just talking about what
you do with yt on Slack or over email -- see the bottom of this
message for more! We have a list of fun, introductory issues for new
contributors:
https://github.com/yt-project/yt/labels/new%20contributor%20friendly
and some we're looking for help with:
https://github.com/yt-project/yt/labels/help%20wanted
## Workshop Presentations
In April, we had an informal online workshop. The videos from that
are now online and we invite you to check them out -- they cover an
introduction to using yt and some of the basics of how to get started
analyzing data.
Day One: https://www.youtube.com/watch?v=h6NE32WagHs
Day Two: https://www.youtube.com/watch?v=fn45FK7hX7Q
Matt also streams development once in a while at
twitch.tv/powersoffour , but be sure to manage your expectations on
that front!
## Widgyts for Jupyter and yt
One of the yt family of projects, Widgyts
(https://widgyts.readthedocs.org/ and github.com/yt-project/widgyts )
just had another release in early April. Widgyts, as the *extremely*
clever name suggests, is widgets for yt within Jupyter and Jupyterlab.
The new version includes a mesh viewer for finite element meshes, as
well as preliminary support for displaying particles in the viewer.
If you're using AMR datasets or FEM, check it out!
## Libyt
Shin-Rong Tsai and Hsi-Yu Schive are in the final stages of preparing
the library 'libyt' for release, with initial connections to the GAMER
code and Enzo. libyt is an in-situ analysis library that provides the
ability to execute analysis and visualization during the course of
large-scale computations.
Look for more information soon, but the code is currently available at
github.com/calab-ntu/libyt , and Shin-Rong will be giving a talk at
Scipy 2023 about libyt.
## Scipy 2023
At Scipy 2023 this year, there will be two presentations about yt or
yt-related projects.
The first, from Chris Havlin, will be on July 13 at 3PM in Grand Salon
C, in the "Earth, Ocean, Geo, and Atmospheric" track, on `yt_xarray`:
https://cfp.scipy.org/2023/talk/QYHD3G/
The second, from Shin-Rong Tsai, will be on July 12 at 1:55PM in Grand
Salon C, in the "Astronomy and Physics" track, on `libyt`:
https://cfp.scipy.org/2023/talk/JTXC9W/
If you're at SciPy, come see them and say hi! Usually all the talks
are recorded, and we'll be sure to include them in a future
newsletter.
## Slack
As a reminder, we have a Slack community where you can ask questions,
suggest things for development, or just generally chat. You can join
by visiting https://yt-project.org/slack.html .
## Tell Us About Your Stuff!
We'd love to share news of your papers in our next newsletter -- so
please reach out to matthewturk(a)gmail.com to share when you publish a
paper that uses yt you'd like to have shared out. Even if you don't
want us to include it in a newsletter, we still like to hear about
them! And we would also *love* to have new blog posts for
https://blog.yt-project.org/ , which Madicken Munk set up with a
really cool autodeployment system -- you just need to make an issue in
the repository (https://github.com/yt-project/blog ) to contribute an
article! (for more info:
https://yt-project.github.io/blog/posts/contributing/ )
That's all for now, folks -- happy computing!
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