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computational-tools's Introduction

  • 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

computational-tools's People

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