External resources#
Resources used (and linked) in these lecture notes:
Further lecture notes by Fabien:
π» Introduction to Python Programming (undergraduate level)
π§βπ» Scientific Programming in Python (postgraduate level)
IPCC reports:
Summary for Policymakers, IPCC AR WG2: Impacts, Adaptation and Vulnerability
Full report, IPCC AR WG2: Impacts, Adaptation and Vulnerability
Climate policy:
Books:
Learning python:
Here are my favorites resources for Python beginers in STEM:
There is an excellent Python tutorial provided by the Software Carpentry. Itβs based on a real data analysis and I strongly recommend it.
Chapter 1 from the Scientific Python lectures is also excellent.
Finally, my own classes provide some resources as well, but they are more adapted to a classroom than self-study: beginner, advanced.
Learning climate analysis with python:
The excellent resources by Climatematch inspired some of my notes:
Project Pythia contains fantastic resources:
Interactive:
Met Office Climate Data Portal (see local authority risk assessment)
(this list will be updated when the notes get written further)