/dataviz

Data Visualization Notes(Matplotlib, Seaborn, Plotnine, Plotly, Plotly-Express)

Primary LanguageJupyter Notebook

Data Visualization using Python

How to create your own Jupyter Book

  1. conda env create -f environment.yml
  2. conda activate dsn-template

Building a Jupyter Book

Run the following command in your terminal: jb build book/. If you would like to work with a clean build, you can empty the build folder by running jb clean book/. If the jupyter execution is cached, this command will not delete the cached folder. To remove the build folder, you can run jb clean --all book/.

Publishing this Jupyter Book

Run ghp-import -n -p -f book/_build/html