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Overview

Aim and purpose
Time and place
Prerequisites and credit points

Course preparation

General information
Preparatory Assignment

Day 1 - Geospatial Data Structures

What is good scientific code?
Programming Languages
Exercise: Geospatial Data Structures
- Exercise: Geospatial Data Structures in Python

Day 2 - Vectorization

Logical Computer Setup
Vectorization using Numpy and (Geo)Pandas

Day 3 - Best Practices

Pre-commit Hooks
Unit testing
Exercise: Random Rectangles

Day 4 - Random Walker

Group Exercise: Random Walk Simulation

Day 5 - Network Analysis

Final project
- Calculating Betweenness Centrality using Python
5 ECTS Assignment

Repository
Open issue

Index

By GIScience Research Group, Heidelberg University

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