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1:03:33
Distributed file storage with git-annex
0:58:32
Nextflow and Julia for scalable computation
1:14:44
Lazygit
0:37:50
Best practices in HPC/HTC environments
0:58:20
GPU computing with Chapel
0:58:20
Understanding Emacs modes
0:42:19
DataFrames on steroids with Polars
0:56:58
Julia at full tilt: profiling and optimizations
1:02:22
Lossy data compression
0:57:27
JAX: a framework for high-performance array computing
0:43:10
Things researchers should know before using Generative AI
0:59:19
Modern Emacs: all those new tools that make Emacs better and faster
0:53:16
Photogrammetry on HPC clusters
0:55:53
AI-powered coding with GitHub Copilot
1:04:50
Command-line image processing with ImageMagick
1:22:45
Version control for data science and machine learning with DVC
0:59:37
Text analysis in 3D
1:00:14
Emacs as a programming IDE for Python, R, and Julia
1:01:19
Essentials of HPC for new users: A practical example using hydrological models
1:00:16
Image-based approach to large-scale visualization
0:48:56
A map of current machine learning frameworks
0:53:40
Launching 2023 Visualize This contest
0:00:06
NDVI test animation
0:00:15
Simulation of a storm over Eastern Canada
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