Summaries of the information discussions and formal presentations that occur during DSST's Lunch and Learns. Every Tuesday at 12 PM Eastern Time.
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DSST members and friends brainstormed for upcoming lunch and learn topics
DSST members and friends said a fond farewell to our IRTA @MIZwally
DSST members and friends discussed safe usage of generative AI
DSST members and friends discussed how to make Jupyter notebookd more F.A.I.R. by making them interoperable and reusable.
Jeff attended PyCon US 2025 in Pittsburgh and was kind enough to share his experience and highlights from some of the talks.
DSST members and friends discussed the impacts of centralization of LLMs and compute resources.
In DSST's fourth and final part of the MRI crash course, we cover the basics of image pre-processing for MRI and fMRI.
In part 3 of the DSST MRI crash course, we cover the basics of BOLD and fMRI.
In this part of the DSST MRI crash course, we cover sequences and sources of artifacts in MRI images.
DSST provided a crash course into MRI. In this part, we cover how an MRI signal is generated and spatially encoded.
DSST and friends discussed tips and tricks on debugging analysis code and pipelines.
DSST and friends discussed tips and tricks to designing, running, and monitoring big SLURM jobs.
DSST and friends discussed the benefits and considerations of static code analysis in Python with a focus on Ruff.
DSST and friends discussed various experiences, resources, and strategies for both teaching and learning data science and programming topics.
DSST and friends discussed the tools and strategies they use for data management.
DSST and friends discussed the pros and cons of the various Python package managers and dependency managers available.
DSST and friends discussed tools for generating and hosting static web pages. Challenges and potential solutions for large file hosting on static pages were discussed. While we didn't arrive at a definitive solution, various tools and strategies were proposed.
DSST and friends discussed the challenges and tools of test driven development for NIH research.
DSST and friends discussed aliases commonly used in shell RC files when using biowulf and other servers.
DSST and friends discussed which IDEs were commonly used. Other topics included the Pandas query method, interest in the polars python library, and a discussion on documentation tools like ReadTheDocs (which can use mkdocs or sphinx under the hood) and Jupyter Book.
@joshlawrimore gave a presentation on resolution and discussed the 2014 Nobel Prize in Chemistry for breaking the resolution limit.
Presentation on making sample tissue transparent using tissue clearing culminating in the publication "Achieving optical transparency in live animals with absorbing molecules.".
Demonstration of building a Natural Language Query Agent using DuckDB, LangGraph, Instructor, Pydantic Models and OpenAI Model API. Presentation by Joshua Jacobs, PhD and Travis Richardson.
Demonstration of a very simple dashboard that uses DANDI (Distributed Archives for Neurophysiology Data Integration) Python API.