Code Camp 2016
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README.md

Code Camp

An on-line coding primer for the GSA theme in King's College London's Department of Geography


List of Contents

Welcome! This is the repository for the interactive Jupyter notebooks that will teach you the basics of how to code in Python for Geographic Data Analysis.

The list of topics include:

Learning Outcomes

By the end of the course, you will have a solid understanding of:

  • The rational behind the usage of computers and computational methodologies in Geography
  • The way computers "think" and "work"
  • How computers programs are structured and how to execute them
  • The fundamental concepts of programming (in Python, but extensible in general terms to any other programming language) such as the concept of variable, iteration, data structure, list, object, loop, function etc etc..
  • How your newly acquired coding skills can extend traditional GIS methodologies and be applied to solve to geographical problems

References:

The material contained in this repository is heavily inspired by the great work of Dani Aribas-Bel: Arribas-Bel, D. (2016). Geographic Data Science’15. http://doi.org/{10.5281/zenodo.46313}