Numbers Every Scala Programmer Should Know

Numbers Every Scala Programmer Should Know

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Collection benchmark methods

16 of 19

16 of 19

Collection benchmark methods

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Numbers Every Scala Programmer Should Know

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  1. 1 Intro
  2. 2 Why software performance matters
  3. 3 Case studies
  4. 4 What do the numbers tell us?
  5. 5 Pipelining and Amortization
  6. 6 Basic modern types of infrastructures
  7. 7 Why data pipelines?
  8. 8 Services, requests and inner loops
  9. 9 Complexity analysis
  10. 10 Optimizing expensive operations
  11. 11 Performance of expensive operations
  12. 12 Example analysis (answer)
  13. 13 Total application performance
  14. 14 Asynchronous performance impact
  15. 15 Recursion and Loops benchmark code
  16. 16 Collection benchmark methods
  17. 17 Collection benchmark code
  18. 18 Mutability benchmark methods
  19. 19 How does this help us design software?

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