ressources - konradmayer/knowledge-base GitHub Wiki

python / conda / pip

Python Data Science Handbook (Van der Plas): https://jakevdp.github.io/PythonDataScienceHandbook/

Geoscience:
https://earth-env-data-science.github.io/intro.html
https://geographicdata.science/book/intro.html
https://geocompr.github.io/py/ https://github.com/duncanwp/python_for_climate_scientists

statistics / ML

https://moderndive.com/
https://www.jwilber.me/permutationtest/ \

https://mlu-explain.github.io/

https://mlu-explain.github.io/random-forest/
https://mlu-explain.github.io/bias-variance/ \

https://mml-book.github.io/ \

https://stanford.edu/~shervine/teaching/ \

https://k-means-explorable.vercel.app//

R

General:
https://adv-r.hadley.nz/
https://r4ds.had.co.nz/
https://ecorepsci.github.io/reproducible-science/
https://www.good-practices.etiennebacher.com/

Geoscience:
https://geocompr.robinlovelace.net/
https://keen-swartz-3146c4.netlify.app/
http://132.72.155.230:3838/r/
https://edzer.github.io/UseR2016/
https://www.spatial-analysis-r.org/
https://gdsl-ul.github.io/san/
https://andrewmaclachlan.github.io/CASA0005repo
https://zia207.github.io/geospatial-r-github.io/
https://www.rspatial.org/
https://pmarchand1.github.io/atelier_rgeo/rgeo_workshop.html
https://tmieno2.github.io/R-as-GIS-for-Economists/
http://spatial-analyst.net/book/system/files/Hengl_2009_GEOSTATe2c1w.pdf
https://urbanspatial.github.io/PublicPolicyAnalytics/
https://e-sensing.github.io/sitsbook/
https://vt-hydroinformatics.github.io/
https://dickbrus.github.io/SpatialSamplingwithR/
https://r-spatial.org/book/
https://jakubnowosad.com/iiasa2023/
https://www.paulamoraga.com/book-spatial/
https://cengel.github.io/R-spatial/

Forecasting:
https://otexts.com/fpp3/

R Markdown:
https://bookdown.org/yihui/rmarkdown-cookbook/
https://xaringan.gallery/examples/typed/

R shiny / plotly:
https://plotly-r.com/
https://engineering-shiny.org/

R packages:
https://r-pkgs.org/

julia

https://juliaearth.github.io/geospatial-data-science-with-julia/

geodata

http://cfconventions.org/latest.html

Projections:
https://github.com/SciTools/cartopy-tutorial/blob/master/tutorial/projections_crs_and_terms.ipynb
https://observablehq.com/@floledermann/projection-playground \

gitlab

https://docs.gitlab.com/ee/user/markdown.html \

docker

scientific computing / project organization

https://arxiv.org/abs/1609.00037
https://peerj.com/preprints/3210/
https://github.com/ropensci/rrrpkg
https://emilyriederer.netlify.app/post/rmarkdown-driven-development/
https://rstats.wtf/ https://peerj.com/preprints/3192.pdf
https://doi.org/10.1080/00031305.2017.1375989

VS code

vim

https://www.barbarianmeetscoding.com/boost-your-coding-fu-with-vscode-and-vim/

dataviz

https://www.biostat.wisc.edu/~kbroman/presentations/graphs2017.pdf

misc

https://abseil.io/resources/swe-book

remote sensing

https://github.com/awesome-spectral-indices/awesome-spectral-indices?s=03 \

web

https://howhttps.works/
https://howdns.works/

sysadm

hands on challenges: https://sadservers.com/

bash

https://cmdchallenge.com/