#| Source code

This is source code that is either used in the presentation, or was developed to create it. There is some material not covered in the presentation as well.

Requirements

• Python version: at least 3.6
• Packages (names listed that can be used with pip or conda to install):
  • pandas
  • xlrd
  • seaborn
  • holoviews
  • sqlalchemy
  • matplotlib
  • scipy
  • geopandas
  • shapely
  • beautifulsoup4
  • networkx
  • jupyter
  • folium (with conda, use -c conda-forge)
  • xarray
  • dash

What is it?

• altair: illustration of an interactive plot using Altair.
• dash: illustration of creating a simple dashboard using dash.
• db-access: illustration of accessing SQLite databases and using SQLAlchemy, including object-relational mapping.
• gis: illustrations of working with geospatial data, including geopandas.
• holoviews: illustrations of using HoloViews for convenient visualizations.
• networkx: illustration of using the networkx library for graph representation and algorithms.
• pandas: illustrations of using pandas and seaborn.
• regexes: illustrations of using regular expressions for validation and information extraction from textual data.
• seaborn: illustrations of using Seaborn to create plots.
• streamlit: illustration of a simple dashboard created with streamlit.
• web-scraping: illustration of web scraping using beautiful soup and graph representation using networkx.
• xarray: illustrates the xarray library for pandas-like operations on multi-dimensional arrays.