https://github.com/gjbex/io-performance

This repository contains materials for a training session on I/O performance.
https://github.com/gjbex/io-performance

arrow data-processing data-science hdf5 input-output machine-learning python training

Last synced: 2 months ago
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This repository contains materials for a training session on I/O performance.

• Host: GitHub
• URL: https://github.com/gjbex/io-performance
• Owner: gjbex
• License: cc-by-4.0
• Created: 2024-09-13T07:35:22.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-10-21T06:30:18.000Z (over 1 year ago)
• Last Synced: 2025-01-22T18:26:26.611Z (over 1 year ago)
• Topics: arrow, data-processing, data-science, hdf5, input-output, machine-learning, python, training
• Language: Jupyter Notebook
• Homepage: https://gjbex.github.io/IO-performance/
• Size: 1.94 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

          
# IO-performance

This repository contains materials for a training session on I/O performance.

## What is it?

1. `slides-source`: directory containing the source code for the slides.

1. `docs`: directory containing the rendered slides.

1. `source-code`: directory containing source code for the training.

1. `environment.yml`: conda environment file for the training.

1. `LICENSE`: information about the license for this repository.

1. `CONTRIBUTING.md`: guidelines for contributing to this repository.

1. `CODE_OF_CONDUCT.md`: code of conduct for this repository and participating

   in the training.