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Master command-line tools for managing OpenStack cloud infrastructure efficiently in this focused 45-minute training session.
Discover how to build interactive web-based visualizations using Trame, a Python framework for creating dynamic scientific data displays and dashboards online.
Discover how to navigate and utilize the Fir cluster for high-performance computing tasks and research applications.
Master command-line file transfers using Globus-cli for efficient research data management and secure transfers between computing systems.
Discover the evolution of Python notebooks and explore cutting-edge tools that enhance interactive computing and data analysis workflows.
Discover how to track and manage machine learning experiments using MLflow for better reproducibility and model versioning in this hands-on training session.
Discover how to access and log into WestGrid's training cluster for hands-on computational learning and practice sessions.
Discover AI pair programming and LLM chat integration within Emacs for enhanced coding workflows and productivity.
Explore Emacs modes to enhance text editing efficiency and customize your workflow. Learn to leverage powerful features for improved productivity.
Explore GPU computing using Chapel, learning techniques to harness parallel processing power for enhanced computational performance.
Discover powerful computational tools for scalable data processing, combining Nextflow's workflow management capabilities with Julia's high-performance computing features.
Discover best practices for optimizing performance in High Performance and High Throughput Computing environments.
Master distributed file storage techniques using git-annex to efficiently manage and track large files across multiple locations while maintaining version control and data integrity.
Discover how to leverage Ray for parallel workflows on HPC clusters, optimizing computational tasks and maximizing cluster resources for enhanced research computing performance.
Master probabilistic modeling and Bayesian inference techniques using JAX framework, exploring efficient implementation methods for statistical computations and machine learning applications.
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