An introduction to the diverse tools available to visualise data with Python.
- slides:
m3_talk.pdf
- code examples: in the
code_examples/
folder
- slides:
pyconuk2019_poster.pdf
- code examples: in the
code_examples/
folder - mini-zine:
dataviz_minizine.pdf
- slides:
dataviz_pyladies_sthlm.pdf
Extra resources:
- Pandas Bokeh: github.com/PatrikHlobil/Pandas-Bokeh
- Altair interactive notebooks: github.com/uwdata/visualization-curriculum
- ipywidgets: interactive widgets for Jupyter notebooks github.com/jupyter-widgets/ipywidgets
- Voilà dashboards: Github repo github.com/voila-dashboards/voila and Gallery voila-gallery.org
- Jupyter Dashboards layout: github.com/jupyter/dashboards
- Responsive interactive web page from Jupyter notebook: github.com/maartenbreddels/voila-demo