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Planning

• No prerequisite for previous R use, but expect Python familiarity

Notes

Key topics:

• IO, data storage formats (local disks, scratch, ...)
• Compariason of type of tools/libraries for different tasks
• Filesystems (what we have available)?
• matplotlib/ggplot
• Optimizing memory usage
• Parallelization - split, apply, combine, array jobs Secondary topics:
• profiling
• slurm scripts/slurm history/array jobs
• memory/object models
• seff

Outline

R day 1

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R day 2

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R day 3

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Python day 1

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Python day 2

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Python day 3

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