Closed KarinTreyer closed 1 year ago
Online course by Prof. Pauliuk in Freiburg that includes Brightway training: https://www.industrialecology.uni-freiburg.de/teaching.aspx/
python basics - book https://greenteapress.com/wp/think-python/
Teaching classes by Massimo Pizzol: https://github.com/massimopizzol/B4B
Collection of tutorials from Chris Mutel https://github.com/brightway-lca/bw_recipe_2016/tree/master/dev
Helpful introductory notebooks by Ben Portner: https://github.com/BenPortner/brightway_recipes
python basics - application examples for all basic operations https://swcarpentry.github.io/python-novice-inflammation/
advanced LCA notebooks: https://github.com/massimopizzol/advanced-lca-notebooks
python basic tutorial https://docs.python.org/3/tutorial/introduction.html
Global Sensitivity Analysis from Nicolas Dumoulin https://github.com/NicolasDumoulin/brightway2-sensitivity/blob/master/GSA.ipynb https://github.com/NicolasDumoulin/brightway2-sensitivity/blob/master/SA%20Demo.ipynb
https://github.com/maxkoslowski/Brightway2_Intro/blob/master/BW2_tutorial.ipynb A notebook for beginners designed to get you started (creating a project, setting up database(s) and simple foreground systems, performing impact assessments, analysing results, performing Monte Carlo simulations)
Brightway2 input and output https://github.com/brightway-lca/brightway2-io
LCA_WIND_DK: https://github.com/romainsacchi/LCA_WIND_DK/blob/master/LCA_parameterized_model_Eolien_public.ipynb
very advanced use of brightway to construct "technologically, temporally and geographically-sensitive life cycle inventories" of every wind turbine in Denmark
LCA ontology https://github.com/tishchungoora/lca-ontology
Import Exiobase v3 into brightway2 https://github.com/massimopizzol/Exio3-to-bw2
Brightway2 data management https://github.com/brightway-lca/brightway2-data#brightway2-data-management
a list collecting awesome LCA resources https://github.com/alpby/awesome-lca
https://pymbook.readthedocs.io/en/latest/index.html python basics
presamples (scenario analysis and for the reuse of sampled data in Monte Carlo Simulations in the [Brightway LCA framework]) https://github.com/PascalLesage/presamples
learning brightway: https://github.com/macmribo/learningbrightway
google python class https://developers.google.com/edu/python/
databases example cmutel https://github.com/brightway-lca/brightway2/blob/master/notebooks/Databases.ipynb
How to use the Wurst library: https://github.com/IndEcol/wurst-examples/blob/master/introduction/Introduction%20and%20Wurst%20basics.ipynb
Extension to Brightway2 LCA framework to create and work with aggregated data https://github.com/CIRAIG/brightway2-aggregated
A compilation of code snippets, useful when using brightway2, the python framework for life cycle assessment, especially when starting https://github.com/ntropy-esa/bw2-snippets/blob/0a691195b5b3ef3e3c92efebd0af35b37ca79b17/bw2-snippets.ipynb
Migration data and utilities for Brightway IO and LCA in general https://github.com/brightway-lca/bw_migrations
From the teaching experience of Massimo Pizzol presented @Brightcon2020. https://2020.brightcon.link/
IO tools for Brightway LCA framework https://github.com/brightway-lca/bw_io
LCA results visualization
https://github.com/alvarojhahn/LCA-results-visualization---BW2
Example parameterised cradle-to-gate life cycle assessment: Linking BatPaC to Brightway https://github.com/jbaars2/Batt_Sust_Model/blob/02bb1862f53266e843497231af65144f57a85e48/example%20notebooks/Battery%20emissions/example_lifecycle_emissions.ipynb
Sensitivity analysis w/ linear regression, multivariable linear regression, log regression: https://github.com/hdlee4u/sensitivity_analysis/blob/master/sensitivity_anaysis.ipynb
Manager for Brightway LCA libraries and projects https://github.com/brightway-lca/bw_projects
The above links are now collected in a table added with https://github.com/brightway-lca/brightway-training/commit/34d2de34f77feecb542f7b8da1440a2fc298f043
https://github.com/maximikos/Brightway2_Intro/blob/master/BW2_tutorial.ipynb