Updated 11/12/23

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    • Overview & TOC
    • Case Study 1
    • Case Study 2
    • Case Study 3
  • More
    • Home
    • About
      • Welcome
      • Blog 1
      • Training
    • The Global Datastore
      • gDS Overview
      • .dd File Format
      • Naming Conventions
      • gDS Generated Code
      • Work with ChatGPT
      • Futures
    • The Test Platform
      • Overall Guidance
      • Interface To The SUT
      • Test Runs and Cycles
      • Screen Displays
      • Iterate Using RowStatus
      • System & Row Locks
      • Parallel Resources
    • Case Studies & Code
      • Overview & TOC
      • Case Study 1
      • Case Study 2
      • Case Study 3

  • Home
  • About
    • Welcome
    • Blog 1
    • Training
  • The Global Datastore
    • gDS Overview
    • .dd File Format
    • Naming Conventions
    • gDS Generated Code
    • Work with ChatGPT
    • Futures
  • The Test Platform
    • Overall Guidance
    • Interface To The SUT
    • Test Runs and Cycles
    • Screen Displays
    • Iterate Using RowStatus
    • System & Row Locks
    • Parallel Resources
  • Case Studies & Code
    • Overview & TOC
    • Case Study 1
    • Case Study 2
    • Case Study 3

Futures

I have gotten some "what else is this good for" questions about gDS from some close advisors.


I don't have a lot of experience with a lot of application areas but real-time embedded systems like avionics might profit.


Python is fast but it might not be fast enough, so preprocessing the code into its run-time representation and possibly improving it's support libraries might be two of several tricks one could pull to improve execution speed. The gain for the trouble would be in the readability of the application's (Python) code base and the ability of practioners to pick the code up and advance it.

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