Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.
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01-Intro-to-Python updated all python code for python 3.5 Jun 15, 2016
02-Wordpress-Web-Publishing renamed files Jun 24, 2016
03-Carto-Web-Mapping updated carto naming Sep 6, 2016
04-Python-Loops-Conditionals-Functions updated all python code for python 3.5 Jun 15, 2016
05-Python-Loops-Data-Files updated all python code for python 3.5 Jun 15, 2016
06-QGIS renamed files Jun 24, 2016
07-Intro-to-Pandas updated all python code for python 3.5 Jun 15, 2016
08-Intro-to-Pandas-II updated all python code for python 3.5 Jun 15, 2016
09-Git-and-GitHub moved materials by other authors to cp255 repo for clarity Jun 24, 2016
10-Working-with-APIs updated api data portal example for new json endpoints Jun 24, 2016
11-Data-Wrangling renamed files Jun 24, 2016
12-Python-Data-Visualization updated all python code for python 3.5 Jun 15, 2016
13-Pandas-Data-Science updated all python code for python 3.5 Jun 15, 2016
14-Regression-Modeling new regression modeling demo notebook Jun 24, 2016
15-Spatial-Cluster-Analysis added silhouette coefficient Oct 26, 2016
16-Web-Scraping updated all python code for python 3.5 Jun 15, 2016
17-Leaflet-Web-Mapping updated leaflet lesson Nov 4, 2016
18-Geocoding-and-Geolocation updated readme Oct 26, 2016
19-Spatial-Analysis-and-Cartography updated readme Nov 4, 2016
20-Accessibility-Walkability added urban street network analysis session Oct 26, 2016
21-Urban-Street-Networks updated osmnx lesson Nov 2, 2016
Examples-and-Demos added resource links Sep 8, 2016
.gitignore added walkability lesson Jul 14, 2016
LICENSE.txt added license file Sep 6, 2016
README.md added license file Sep 6, 2016

README.md

Urban Data Science

In this repo I have compiled a cycle of course materials, IPython notebooks, and tutorials towards an urban data science course based on Python.

Some of these course materials and their sequencing have been adapted from materials I previously taught in CP255: Urban Informatics and Visualization at UC Berkeley.

These materials are licensed under the terms of the MIT license.