https://github.com/gjbex/python-for-hpc

Repository for participants of the "Python for HPC" training
https://github.com/gjbex/python-for-hpc

cuda cython dask gpu hpc mpi numba python python-training scientific-computing swig training

Last synced: 2 months ago
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Repository for participants of the "Python for HPC" training

• Host: GitHub
• URL: https://github.com/gjbex/python-for-hpc
• Owner: gjbex
• License: cc-by-4.0
• Created: 2019-12-06T13:36:15.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-04-12T07:13:57.000Z (10 months ago)
• Last Synced: 2024-04-16T03:25:37.905Z (10 months ago)
• Topics: cuda, cython, dask, gpu, hpc, mpi, numba, python, python-training, scientific-computing, swig, training
• Language: Jupyter Notebook
• Homepage: https://gjbex.github.io/Python-for-HPC/
• Size: 6.63 MB
• Stars: 30
• Watchers: 4
• Forks: 18
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# Python for HPC

GitHub repository for participants of the "Python for HPC" training.

For information on the training, see the website

[https://gjbex.github.io/Python-for-HPC/](https://gjbex.github.io/Python-for-HPC/)

Note that material for a training on using GPUs in Python is in

[another repository](https://github.com/gjbex/Python-on-GPUs).

## What is it?

1. [`python_hpc.pptx`](python_hpc.pptx): PowerPoint

   presentation used for the training.

1. [`source-code`](source-code): directory that contains sample code written to

   develop the slides and illustrate concepts.

1. [License](LICENSE): license information for the material in this repository.

1. [Contributing](CONTRIBUTING.md): information on how to contribute to this

   repository.

1. docs: directory containing the website for this repository.

1. [Code of conduct](CODE_OF_CONDUCT.md): when participating in this training

   you accept to abide by the code of conduct.