https://github.com/robnewman/load-data-studio-conda

Test repo for loading a Data Studio directly from a Github repo
https://github.com/robnewman/load-data-studio-conda

Last synced: about 1 month ago
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Test repo for loading a Data Studio directly from a Github repo

• Host: GitHub
• URL: https://github.com/robnewman/load-data-studio-conda
• Owner: robnewman
• License: mit
• Created: 2024-01-02T19:01:08.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-01-02T19:25:19.000Z (11 months ago)
• Last Synced: 2024-01-03T20:25:32.026Z (11 months ago)
• Size: 7.81 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# load-data-studio-conda

Test repo for loading a Data Studio directly from a Github repo

# Install miniconda

1. Use [Homebrew](https://brew.sh/) to install [miniconda](https://formulae.brew.sh/cask/miniconda): `brew install --cask miniconda`

2. Initialize: `conda init "$(basename "${SHELL}")"`

3. Config to use [Conda-Forge](https://conda-forge.org/):

  ```

  conda config --add channels conda-forge

  conda config --set channel_priority strict

  ```

# Steps to generate a conda environment file

1. Create a conda environment (with specific packages): `conda create --name myjupyterenv python jupyter jupyterlab`

2. Activate the environment: `conda activate myjupyterenv`

3. Generate a YAML file of the environment: `conda env export > environment.yml`

4. Add to the repo: `git add environment.yml`