Video: Python for High Performance Computing

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In this video from the recent Argonne Training Program on Extreme-Scale ComputingWilliam Scullin from Argonne National Labs presents: Python for High Performance Computing.

Why Use Python for Scientific Computing?

  • “Batteries included” + rich scientific computing ecosystem
  • Good balance between computational performance and time investment
  • Similar performance to expensive commercial solutions
  • Many ways to optimize critical components
  • Only spend time on speed if really needed
  • Tools are mostly open source and free
  • Strong community and commercial support options.
  • No license management for the modules that keep people productive

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