This repo a tutorial on python libraries for interactive and geospatial data visualization. To get started choose one of the installation options below. You can run the notebook remotely using MyBinder and locally using conda.
Hosted presentation is: http://devseed.com/agu2021-python-data-viz/
Click: and wait for a cloud-hosted jupyter lab to be deployed using environment.yml
.
- If you don't have conda (either with Miniconda or the full AnacondaDistribution) already installed we recommend installing miniconda for latest Python 3.
- Then clone this repository and, at the root directory, you will find the environment.yml file. That files is basically the list of packages we are going to install.
- Now create the environment with
conda env create --file environment.yml
- activate the environment with:
conda activate python-dataviz
- call
jupyter notebook
and opentutorial.ipynb
to get started! Happy hacking!!
- Running the html slideshow locally or exporting to PDF slides: https://rise.readthedocs.io/en/stable/exportpdf.html
- Hosting the html slideshow with Github Pages: How to host Jupyter Notebook slides on Github
git checkout gh-pages
git merge main
jupyter nbconvert tutorial.ipynb --to slides --stdout > index.html
git commit -am "Updated slides"
git push -u origin gh-pages