- Contains libraries and tools for scientific python
- Includes popular libraries for data science, HPC, geospatial analysis, and computational economics
- My personal dev environment set-up
- IDEs, terminal, VC, deployment, package managers, API testing, DB management, etc.
- Comprehensive outline of tools and libraries included in popular "modern data stack" implementations
- Resources primarily compiled from Modern Data Stack, Fivetran, dbt Labs
- Helpful collection of references/resources found on GitHub and other sites
- Includes Python, Data Science, Computer Science, and Economics