logo FEDIDEVS

SciPy 2024

July 12, 2024

Some of the @ProjectJupyter contributors at

10 2 0
July 13, 2024

My GitHub notifications tell me that ppl are working on translating the @pyOpenSci guides to Spanish at the @SciPyConf sprints!!! ¡Ya está! ("it's happening!")🚀

github.com/pyOpenSci/python-pa

They must be keeping @leahawasser busy!

So great that Felipe Moreno has been leading this effort

9 6 1
July 10, 2024

🙌 Amazing keynote by @juliasilge today at about “choosing the right tool for the job”.

Thank you for sharing your experience with us!! 🫶🏻

6 6 0
July 10, 2024

We know there are a multitude of fantastic talks to catch at SciPy, but we can't recommend checking out @leahawasser's talk on the power of community in solving scientific Python's most challenging problems enough!

We hope to see you there!

6 5 0
July 6, 2024

📣 Check out the upcoming talk by @isabelizimm, "From Code to Clarity: Using Quarto for Python Documentation", at ! 👀

5 5 0
July 13, 2024

🔥 Sprints kick off today at with approximately 150 participants!

We’re super excited to see everyone’s contributions to open source projects! 👀

Share them here for all our community to get inspired to contribute to open source and attend sprints next year 🚀

4 3 0
May 15, 2024

📢 Exciting news! The schedule for conference is now live! Get ready for a week full of great talks, tutorials and posters! 🔥

🗓️ Check it out and start planning your agenda today! buff.ly/4bkI4bZ

4 3 0
July 7, 2024

🙌 We can't wait to see @minecr present their tutorial, "Unlocking Dynamic Reproducible Documents: A Quarto Tutorial for Scientific Communication", at ! 🚀

4 3 0
June 10, 2024

🚀 The SciPy Conference is just around the corner. Join us for cutting-edge science, interactive workshops, and networking with the brightest minds in Python. Grab your tickets now and be part of the innovation! 🧬✨

4 9 0
July 11, 2024

@ratamero YASSSS 🦞 🦀 reminder that the scans are available for all to download on Monash's FigShare instance: bridges.monash.edu/articles/da 😃

SciPy 2023 Lightning Talks Claw

SciPy 2023 Lightning Talks Claw

The Quest to 3D-image the Claw from the SciPy 2023 Lightning Talks.As co-host of the Lightning Talks at the SciPy 2023 conference in Austin, TX, Madicken Munk injected a little chaos into the process: anyone who had presented a lightning talk in any previous year had to roll a giant die. If the die came up 1, the speaker had to deliver the talk with some chaotic new handicap, invented by Madicken on the spot. [1-3]The handicap often involved this crab- or lobster-claw-shaped silicone oven mitt. In the case of Juan Nunez-Iglesias's talk about Zulip, Juan had to deliver the talk while using the claw as a sock puppet.The claw became a recurring theme and a sensation at the conference, and Juan even delivered the napari update at the Tools Plenary Session with the claw. At that point P.L. Lim asked on the conference Slack, "Can napari visualize a 3D model of The Claw?" — thereby throwing down the claw-shaped, silicone gauntlet.At the end of the conference, Madicken gifted the Claw to Juan, and Juan promised he would endeavour to get it imaged.(First attempt: Juan asked for help on Mastodon [4], and Lachie Whitehead aka DrLachie from the Walter and Eliza Hall Institute (WEHI) in Parkville, Australia offered the WEHI micro-CT. Unfortunately, at 110mm in height, the Claw was too big for the micro-CT. The search continued.)Juan contacted Olga Panagiotopoulou, a researcher at the Department of Anatomy and Developmental Biology at Monash University who had previously showed him very cool 3D scans of skulls, jaws, and feet, both human and otherwise. And she referred him to Michael de Veer at Monash Biomedical Imaging, who agreed to participate in the penultimate step of this most excellent Quest.And so it came to be that the Claw was imaged at Monash Biomedical Imaging, then converted from a list of 2D DICOM files to OME-NGFF (aka OME-ZARR) files. This record has the original DICOM files, and two OME-NGFF files with different chunks — one set optimised for 2D slice viewing, and another as a single chunk for 3D viewing.Suggested napari viewing parameters:3D canvasattenuated_mip renderingattenuation: 0.015References:https://twitter.com/SciPyConf/status/1679619665788534784https://bird.makeup/users/scipyconf/statuses/1679619665788534784https://fosstodon.org/@jni/110731142487885502https://fosstodon.org/@jni/110731156853442832
3 1 1