https://github.com/martinfleis/sdsc21-workshop
Materials for SDSC 2021 Workshop
https://github.com/martinfleis/sdsc21-workshop
data-science python workshop
Last synced: 11 months ago
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Materials for SDSC 2021 Workshop
- Host: GitHub
- URL: https://github.com/martinfleis/sdsc21-workshop
- Owner: martinfleis
- License: cc-by-sa-4.0
- Created: 2021-10-14T12:57:14.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-07-17T19:16:01.000Z (almost 3 years ago)
- Last Synced: 2025-03-18T04:51:26.495Z (over 1 year ago)
- Topics: data-science, python, workshop
- Language: Jupyter Notebook
- Homepage:
- Size: 21.5 KB
- Stars: 33
- Watchers: 3
- Forks: 7
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Capturing the Structure of Cities with Data Science workshop
SDSC 2021 Workshop
## Run online
Open in an interactive in-browser environment:
[](https://mybinder.org/v2/gh/martinfleis/sdsc21-workshop/HEAD?labpath=demo-notebook.ipynb)
## Run locally
If you want to run the notebook locally, it is recommended to create a new `conda` environment based on the `environment.yml` file.
```
conda env create -f environment.yml
```
Alternatively, ensure that all required dependencies are available in your environment in their latest versions (as of October 24, 2021).
```
- momepy
- pygeos
- osmnx
- clustergram
- bokeh
- scikit-learn
- geopy
- ipywidgets
```
## Annotation
Martin will walk you through the fundamentals of analysis of the structure of cities. You will learn what can be measured, how to do that in Python, and how to use those numbers to capture the patterns that make up cities. Using a real-life example, you will learn every step of the method, from data retrieval to detection of individual patterns.