| Project | Details |
|---|---|
| Python language | Standard Library Summary Language reference |
| Numpy | Quickstart Fundamentals API Ref Glossary |
| Pandas | 10 mins Basics Gotchas/FAQ Cookbook |
| Scikit-learn | Getting started User guide |
| PyTorch | Quickstart Docs |
| PyTorch Lightning | Intro Basics Tute 1 |
| TensorFlow | Tutorials Guide |
| SQLAlchemy ORM | Tutorial ORM docs Core docs |
| Alembic | Docs |
| FastAPI | Tutorial Advanced Async Deployment |
| SQLModel | Docs Tutorial |
| Hydra | Intro Tutorials |
| Jupyter tools | handcalcs Papermill nbval voila More… |
| Conda/Mumba | Conda Conda-forge Miniconda Mamba Micromamba |
| Project | Details |
|---|---|
| K8s | Concepts Tasks Tutorials Kube Academy |
| Docker | Guides cli k8s deploy |
| KubeFlow | Architecture Pipelines |
| Argo | Core concepts Walk thru Training (2hrs) |
| Helm | Intro Guides |
| Kafka | Docs Ecosystem |
| AWS | Certification plan |
| Terraform | Language AWS provider |
| Snowflake | Resources |
| Postgis | Reference |
| Course | Details |
|---|---|
| MIT 6.041 |
MIT 6.041 Probabilistic Systems Analysis and Applied Probability 2010 by John Tsitsiklis Youtube |
| MIT 6.262 |
MIT 6.262 Discrete Stochastic Processes 2011 by Robert Gallager Youtube |
| MIT 18.06 |
MIT 18.06 Linear Algebra 2011 by Gilbert Strang 2010 Home Youtube 2005 |
| Stanford TTM | The Theoretical Minimum and supplemental by Leonard Susskind [esp Statistical Mechanics, 2013] |
| Information Physics | Information Physics course and Entropic Physics textbook by Ariel Caticha |
| Math course | Mathematical/Computational Techniques for Scientists and Engineers |
| Math notes | Paul’s Online Math Notes |
| Khan videos | Khan Academy Math; Alg2; Trig; Stats; Diff calc; Int calc; Calc1; Calc2; MV calc; Diff eq; Lin alg |
| 3b1b videos | 3Blue1Brown; Youtube |
| Math videos | Mathematical Monk; Youtube |
| Project | Details | |
|---|---|---|
| Libraries overview | Awesome Python geospatial | |
| GeoPandas | Intro User guide |
|
| Dask-GeoPandas | Guide API |
|
| Shapely | Manual | |
| Rasterio | Quickstart Adv topics |
|
| PySal | Overview | |
| Scipy | User guide Spatial library |
|
| OSMnx | Overview blog |
| Project | Details |
|---|---|
| Online GIS book | Geographic Data Science with Python (Arribas-Bel et al) |
| Spatial Data Programming | Spatial Data Programming with Python course (Ben-Gurion University of the Negev) |
| Automating GIS-processes | Automating GIS-processes course 2021 (University of Helsinki) |
| GIS Twitter | Geospatial Twitter accounts |
| GIS course | Geographic Data Science - ENVS363/563 (Arribas-Bel) |
| Cartopy | Docs GitHub |
| Resource | Details |
|---|---|
| Code library | Computational Geometry Algorithms Library |
| Primer | Primer on Mathematical/Computational Techniques for Scientists and Engineers (Dept of Earth Sci & Eng, Imperial College London) |
| Course | CMPT 813: Computational Geometry Course (Fall 2011, Simon Fraser University) - Lecture notes |
| Course | ETH Zürich: Computational Geometry Course - Lecture notes |
| Course | METU CENG 773 - Computational Geometry - Youtube lectures |
| Book | Computational Geometry: Algorithms and Applications, Berg et al, 2008 |
| Book | Computational Geometry: An Introduction, Preparata and Shamos, 1993 |