https://github.com/selimchraibi/cdo-lab

Lab - Convex and Distributed Optimization course - winter 2019. (http://bit.ly/2P4VuRM)
https://github.com/selimchraibi/cdo-lab

Last synced: 13 days ago
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Lab - Convex and Distributed Optimization course - winter 2019. (http://bit.ly/2P4VuRM)

• Host: GitHub
• URL: https://github.com/selimchraibi/cdo-lab
• Owner: SelimChraibi
• Created: 2019-12-09T00:55:32.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2019-12-10T15:13:23.000Z (almost 5 years ago)
• Last Synced: 2023-10-05T06:49:46.000Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 32.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
If you haven't already, please install [Anaconda](https://www.anaconda.com/distribution/).

To get started with the `lab.ipynb` notebook, create an environment using the `dependencies.yml` file:

```bash

conda env create --file dependencies.yml

conda activate cdo

ipython kernel install --name=cdo

```

You can now launch jupyter:

```bash

jupyter lab

```

Once in jupyter, open `lab.ipynb` and select `Kernel -> Change kernel -> Python [conda env:cdo]`.