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 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@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!