Astrophysics and cosmology are fields that require working with complex multidimensional data to simulate the workings of our universe. The yt project was created to make working with this data and providing useful visualizations easy and fun. This week Nathan Goldbaum and John Zuhone share the story of how yt got started, how it works, and how it is being used right now.
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- Your host as usual is Tobias Macey and today I’m interviewing Nathan Goldbaum and John Zuhone about the YT project for multi-dimensional data analysis.
- How did you get introduced to Python?
- What is yt and how did it get started?
- Where does the name come from?
- How does yt compare to other projects such as AstroPy for astronomical data analysis?
- What are the domains in which yt is most widely used?
- One of the main use cases of yt is for visualizing multidimensional data. What are some of the design challenges in trying to represent such complicated domains via a visual model?
- Some of the sample datasets for the examples are rather large. What are some of the biggest challenges associated with running analyses on such substantial amounts of information?
- How has the project evolved and what are some of the biggest challenges that it is facing going forward?
- Matt Turk
- Computational Fluid Dynamics
- Numerical Relativistic Hydrodynamics