Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.
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01-Intro-to-Python
02-Wordpress-Web-Publishing
03-Carto-Web-Mapping updated carto naming Sep 6, 2016
04-Python-Loops-Conditionals-Functions
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
08-Intro-to-Pandas-II
09-Git-and-GitHub
10-Working-with-APIs
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
14-Regression-Modeling new regression modeling demo notebook Jun 24, 2016
15-Spatial-Cluster-Analysis
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
19-Spatial-Analysis-and-Cartography
20-Accessibility-Walkability added urban street network analysis session Oct 26, 2016
21-Urban-Street-Networks update for osmnx 0.3 compatibility Feb 5, 2017
Examples-and-Demos added resource links Sep 8, 2016
.gitignore added walkability lesson Jul 14, 2016
LICENSE.txt
README.md Add launch in Azure Notebooks button Oct 20, 2017

README.md

Urban Data Science

This repo is my workspace for developing a cycle of course materials, IPython notebooks, and tutorials towards an academic urban data science course based on Python.

Between Fall 2013 and Fall 2016, I was the grad student instructor (3 years) and co-lead instructor (1 year) for CP255, Urban Informatics and Visualization, at UC Berkeley. This course was developed by Paul Waddell and is ongoing at Berkeley with the fantastic contributions of @Arezoo-bz. If you're interested in these topics at all, you owe it to yourself to check out the latest iterations of Paul's excellent pedagogy in his CP255 repo. A couple years ago, I wrote this blog post describing our efforts for the course.

Some of the course materials in this repo and their sequencing have been adapted from materials I previously developed for lectures I gave in CP255. Others I have developed for related topics in the years since.

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