aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Tutorial on scikit-learn and IPython for parallel machine learning

Python exercises to practice skills

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

This book is geared toward those who already have programming knowledge. It covers topics that include: creation of user interfaces, computer graphics, internet applications, distributed systems, a…

Jupyter notebook presentations with optional code visibility and no ugly elements

Syllabus del curso de Métodos Computacionales Avanzados en Uniandes

EuroSciPy 2019 Numba Tutorial

Tool to quickly generate Sentinel-1 local incidence angle maps.

A data assimilation experiment with the DALEC ecosystem model

A data assimilation tool for land EO

Photosynthesis modelling practical for UCL's Geography Geogg124 course

Terrestrial Carbon Community Assimilation System (TCCAS) traning

Lecture materials for ASPP 2015 in Munich

Scientific Computing

CLIM3001: Modelling the photosynthetic response to environmental conditions

LMU Munich site testcase

Core setup for uclgeog msc courses