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docker-for-data-scientists\n\nFrom one data scientist to another on how to utilize docker to make your life easier.\n\nYou can view the auto-generated documentation here:\n\nhttps://www.data-mining.co.nz/docker-for-data-scientists/\n\n\n## Installation\n\nBest approach is to install mkdocs in a virtual environment (`venv` directory):\n\n* Python 3\n\n  ```\n  virtualenv -p /usr/bin/python3 venv\n  ```\n\n* Install mkdocs and dependencies\n\n  ```\n  ./venv/bin/pip install mkdocs==1.4.2 jinja2==3.1.2 \"Markdown\u003c3.4.0\" mkdocs-material==8.5.10\n  ```\n\n\n## Content\n\nIn order for content to show up, it needs to be added to the configuration, \ni.e., in the `pages` section of the `mkdocs.yml` file.\n\nSome pointers:\n\n* [Images and media](http://www.mkdocs.org/user-guide/writing-your-docs/#images-and-media)\n* [Linking](http://www.mkdocs.org/user-guide/writing-your-docs/#linking-documents)\n* [mkdocs.yml](http://www.mkdocs.org/user-guide/configuration/)\n\n\n## Build\n\n[mkdocs](http://www.mkdocs.org/) is used to generate HTML from the \nmarkdown documents and images:\n\n```\n./venv/bin/mkdocs build --clean\n```\n\n\n## Testing\n\nYou can test what the site looks like, using the following command\nand opening a browser on [localhost:8000](http://127.0.0.1:8000):\n\nmkdocs monitors setup and markdown files, so you can just add and edit\nthem as you like, it will automatically rebuild and refresh the browser.\n\n```\n./venv/bin/mkdocs build --clean \u0026\u0026 ./venv/bin/mkdocs serve\n```\n\n\n## Deploying\n\nAny push will trigger a rebuild of the site on github via github actions:\n\n[.github/workflows/main.yml](.github/workflows/main.yml)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwaikato-datamining%2Fdocker-for-data-scientists","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwaikato-datamining%2Fdocker-for-data-scientists","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwaikato-datamining%2Fdocker-for-data-scientists/lists"}